Inter national J our nal of P o wer Electr onics and Dri v e System (IJPEDS) V ol. 11, No. 4, December 2020, pp. 2154 2163 ISSN: 2088-8694, DOI: 10.11591/ijpeds.v11.i4.pp2154-2163 r 2154 A non-linear contr ol method f or acti v e magnetic bearings with bounded input and output Danh Huy Nguy en, T ung Lam Nguy en, Duc Chinh Hoang School of Electrical Engineering, Hanoi Uni v ersity of Science and T echnology , V ietnam Article Inf o Article history: Recei v ed Apr 24, 2020 Re vised Jun 10, 2020 Accepted Jul 28, 2020 K eyw ords: Acti v e magnetic bearing Backstepping control Barrier L yapuno v function Input saturation ABSTRA CT Magnetic bearing is well-kno wn for its adv antage of reducing friction in rotary ma- chines and is placing con v entional bearings where high-speed operations and clean- liness are essential. It can be sho wn that the AM is a nonlinear system due to the relation between the ma gnetic force and current/rotor displacement. In this paper , a mathematical model of a 4-DOF AMB supported by four dual electric magnets is presented. The control objecti v e is placed in a vie w of control input saturation and output limitation that are meaningful aspect in prac tical applications. Backstepping algorithm based control strate gy is then adopted in order to achie v e the high dynamic performance of the bearing. The control is designed in such a w ay that it tak es input and output constraints into account by fle xibly using h yperbolic tangent and barrier L yapuno v functions. Informati v e simulation studies are carried out to understand the operations of the machine and e v aluate the controller quality . This is an open access article under the CC BY -SA license . Corresponding A uthor: T ung Lam Nguyen, School of Electrical Engineering, Hanoi Uni v ersity of Science and T echnology , V ietnam. Email: lam.nguyentung@hust.edu.vn 1. INTR ODUCTION AMB is one of the magnetic suspension methods which enables rotor shaft in rotary machines to be lifted of f without mechanical support by acti v ely controlling the electromagnet [1]. Absence of mechanical contact results in friction reduction. Thus, speed or acceleration of supported components can be increased significantly when comparing with con v entional bearing in use. Authors in [2] has listed m an y adv antages of AMB such as the absence of lubrication and contaminating wear , high speed rotation, lo w bearing losses, etc. These benefits allo w AMB to be inte grated into electrical motor which can rotate upto 200000 rpm [3] and be applicable as ultra-high speed spindle in machine tools [4, 5]. AMB can also be adopted in v acuum and cleanroom systems [6] or equipment with harsh w orking condition lik e turbo machinery [7, 8]. Design and dif ferent structures of magnetic bearings ha v e been presented in [2, 9]. It can be seen that the system is highly non-linear , and can become v ery comple x. Thus the chal lenge lies in de v eloping control scheme of bearing so that it assures high performance features, especially nanometer accurac y [10] since the g ap between rotor shaft and bearings can be e xtremely tin y . Poor design of controller may result in rotor unbalances and internal damping which in turns create vibrat ion in machines, crack in motor shaft and f ailure at the end [11, 12]. The classical PID algorithm ha v e been widely used to control AMB system due to its simplicity , adaptability and maturity [13, 14]. As AMB is a non-linear system, other methods lik e feedback linearisation or sliding mode control can also be applied [10, 15]. W it h an ef fort to eliminate uncertainties in plant m o de lling, Bonf fito et al propose an of fset free control for AMB based on classical model predicti v e control [16]. J ournal homepage: http://ijpeds.iaescor e .com Evaluation Warning : The document was created with Spire.PDF for Python.
Int J Po w Elec & Dri Syst ISSN: 2088-8694 r 2155 It is e vident that in pre viously mentioned research, hard limitation on control input and output is omitted [17-20]. Control saturation might result in control de gradation and violation of output constraint leads to system mechanical f ailure. In this paper , we ha v e adopted backstepping control algorithm to re gulate and stabilize the operation of AMB. The backstepping method h ´ a been emplo yed in robotics [21], process control [22], space applications [23, 24], and in AMB systems [25]. It is pro v en to be suitable with strict-feedback system and to ha v e the fle xibility of remo ving instabi lity while a v oiding cancellation of potentially useful nonlinearities [21]. The contrib ution of the paper can be named is the consideration of bounded system input and output in control design. This paper is or g a n i zed as the follo wing. The mathemat ical model of AMB is first de v eloped in Section 2. Controller design process is presented in Section 3. In Section 4. simulat ion results are pro vided together with the discussions. Finally , Section 5. concludes this paper . 2. MA THEMA TICAL MODEL OF A DUEL COILS MA GNETIC A CTU A T OR It is fundamental that the magnetic force is proportional to the current square. Thus, re gulating the current can result in the force change. It is assumed that the rotor shaft has already been ele v ated along z axis in v ertical direction by another system. The system includes 2 pairs of the same electromagnets along x and y ax es in horizontal directions, ones of each pair are placed in the opposite position as illustrated in Figure 1. Figure 1. F our electromagnet system Each pair , then produce the forces of attraction F 1 & F 2 and F 3 & F 4 which are adjusted by re gulating the currents i 1 ; i 2 ; i 3 and i 4 respecti v ely so that the shaft can be k ept balance in the space within those magnets. Assuming that ( x 1 ; i 1 ) ; ( x 2 ; i 2 ) ; ( x 3 ; i 3 ) ; ( x 4 ; i 4 ) are the positions and currents of electromagnets 1, 2, 3, and 4 respecti v ely . The e xpression of the magnetic forces is gi v en as F 1 = g N 2 i 1 2 A g 4 x 1 2 = K 4 i 1 x 1 2 ; F 2 = g N 2 i 2 2 A g 4 x 2 2 = K 4 i 2 x 2 2 F 3 = g N 2 i 3 2 A g 4 x 3 2 = K 4 i 3 x 3 2 ; F 4 = g N 2 i 4 2 A g 4 x 4 2 = K 4 i 4 x 4 2 (1) where K is a coef ficient and calculated as K = g N 2 A g , where g is the permeability of air , N is the number of turns in each coil, and A g is the cross-section area of the electromagnet. It is assumed that the inertia and geometric rotating ax es of the rigid rotor coincide to each other , hence, the c entral point G is the mass center of the rotor and m as its mass. its mass. The x axis direction forces (1) e x erted on rotor result in translational and rotational motions such that x and y DOF’ s force and torque equations are gi v en as (2) and (3) respecti v ely: m ( x g ) = ( F 1 F 2 ) + ( F 3 F 4 ) (2) A non-linear contr ol method for active ma gnetic bearings with ... (Danh Huy Nguyen) Evaluation Warning : The document was created with Spire.PDF for Python.
2156 r ISSN: 2088-8694 I r : y = I a :! : _ x + ( F 1 F 2 ) :D u ( F 3 F 4 ) :D l (3) Where I a and I r are the total moments of inertia about axial and radial direction ax es z , x and y through the rotor’ s mass centre or center of weigth, respecti v ely , y is the rotor angle o v er y axis, D u is the distance form the top e lectromagnets to rotor central G , D l is the distance form the bottom electromagnets to rotor central G , I a :! : _ x is the reinforced torque of rotor , as sho wn in Figure 1. If the distance between rotor and the magnet at stable position is x 0 , mo v ement of rotor within the top tw o magnets is x u and that within the bottom tw o magnets is x l , the distances x 1 ; x 2 ; x 3 ; x 4 between rotor and each magnet can be calcu- lated as with respect to the top tw o magnets: x 1 = x 0 x u x 2 = x 0 + x u and with respect to the bottom tw o magnets: x 3 = x 0 x l x 4 = x 0 + x l . It is found that the AMB 4th order system with tw o pairs of electromagnets arranged as in Figure 1 can be separated into tw o magnet systems, or simplified to tw o 2nd order systems. In that case , with an assumption of v ery small y , the mo v ement of rotor is represented as, wrt. the tw o upper magnets: x u = x g + D u y (4) and for the tw o lo wer magnets: x l = x g D l y (5) T aking 2nd order deri v ati v es of (4), and combining with (2) and (3), we ha v e x u = x g + D u y = 1 m F 1 1 m F 2 + D u 1 I r F 1 D u 1 I r F 2 D u = a u i 2 1 ( x 0 x u ) 2 i 2 2 ( x 0 + x u ) 2 (6) where a u = K u 4 1 m + D 2 u I r . It is noted that the coupling term related to x and y is omitted. The coupling ef fects is considered as system disturbances. Applying the same procedure, from (5): x l = x g D l y = a l " i 2 3 ( x 0 x l ) 2 i 2 4 ( x 0 + x l ) 2 # (7) where a l = K l 4 1 m + D 2 l I r . On the other hand, applying Kirchhof f s v oltage la w for each coil, we ha v e the follo wing equations: u 1 = R i 1 + L s di 1 dt + K 2 d dt i 1 x 1 ; u 2 = R i 2 + L s di 2 dt + K 2 d dt i 2 x 2 (8) u 3 = R i 3 + L s di 3 dt + K 2 d dt i 3 x 3 ; u 4 = R i 4 + L s di 4 dt + K 2 d dt i 4 x 4 (9) Deri ving form (8) and (9), the currents are represented as: _ i 1 = 2( x 0 x u ) 2 L s ( x 0 x u ) + K ( u 1 R i 1 K :v u i 1 2( x 0 x u ) 2 ) ; _ i 2 = 2( x 0 + x u ) 2 L s ( x 0 + x u ) + K ( u 2 R i 2 + K :v u i 2 2( x 0 + x u ) 2 ) ; (10) _ i 3 = 2( x 0 x l ) 2 L s ( x 0 x l ) + K ( u 3 R i 3 K :v l i 3 2( x 0 x l ) 2 ) ; _ i 4 = 2( x 0 + x l ) 2 L s ( x 0 + x l ) + K ( u 4 R i 4 + K :v l i 4 2( x 0 + x l ) 2 ) ; (11) Int J Po w Elec & Dri Syst, V ol. 11, No. 4, December 2020 : 2154 2163 Evaluation Warning : The document was created with Spire.PDF for Python.
Int J Po w Elec & Dri Syst ISSN: 2088-8694 r 2157 In (4), (10), together presents the mathematical model of the tw o upper magnets as belo w: 8 > > > > > > > > > > < > > > > > > > > > > : _ x u = v u _ v u = a u i 1 x 0 x u 2 a u i 2 x 0 + x u 2 _ i 1 = 2( x 0 x u ) 2 L s ( x 0 x u ) + K ( u 1 R i 1 K v u i 1 2( x 0 x u ) 2 ) _ i 2 = 2 : ( x 0 + x u ) 2 L s ( x 0 + x u ) + K ( u 2 R i 2 + K v u i 2 2 : ( x 0 + x u ) 2 ) (12) Similarly , (5), (11) pro vides the mathematical model of the tw o lo wer magnets: 8 > > > > > > > > > > < > > > > > > > > > > : _ x l = v l _ v l = a l i 3 x 0 x l 2 a l i 4 x 0 + x l 2 _ i 3 = 2( x 0 x l ) 2 L s ( x 0 x l ) + K ( u 3 R i 3 K v l i 3 2( x 0 x l ) 2 ) _ i 4 = 2( x 0 + x l ) 2 L s ( x 0 + x l ) + K ( u 4 R i 4 + K v l i 4 2( x 0 + x l ) 2 ) (13) In summary , the system model of AMB studied in this w ork consists of (12) and (13) and will be used in the subsequent sections to design controller and in v estig ate the operation. 3. CONTR OLLER DESIGN It is assumed that the spee d can be estimated as deri v ati v e of position, the ef fect of rotor speed on system operation is ne gligible, and magnetizing currents are tak en as control input. 3.1. Contr ol law of the tw o upper electr omagnets Step 1: Find the controller to enable the position x u of the rotor track desired s et point at the stable v alue which is 0 (along 0x axis). If z 1 is the dif ference between the rotor position and the s table one: z 1 = x u , and its deri v ati v e is _ z 1 = _ x u = v u . Considering the follo wing barrier L yapuno v candidate function: V 1 = 1 2 ln k 2 b k 2 b z 2 1 (14) where k b is the limit of z 1 . It is clear that V 1 ( z 1 ) is radially unbounded as z 1 approaches k b or k b . The Barrier L yapuno v function is used to reduce the error in rotor shaft position when comparing with the desired v alue, so as it w ould pre v ent the rotor shaft mo v e too f ar a w ay with a lar ge distance which is greater than the air g ap. This w ould lead to the collision between the rotor and the magnets, then damage the system. The deri v ati v e of (14) is _ V 1 = z 1 : _ z 1 k 2 b z 2 1 (15) Based on L yapuno v stability , it is required that _ V 1 0 , thus virtual control function can be selected as v udk = k 2 b z 2 1 k 1 z 1 (16) where k 1 is a positi v e constant. Then, _ V 1 = z 1 v udk k 2 b z 2 1 = k 1 z 2 1 0 satisfies the stable condition. Let v udk = 1 , we ha v e: _ v udk = _ 1 = @ 1 @ z 1 _ z 1 = k 1 k 2 b + 3 k 1 z 2 1 _ z 1 (17) A non-linear contr ol method for active ma gnetic bearings with ... (Danh Huy Nguyen) Evaluation Warning : The document was created with Spire.PDF for Python.
2158 r ISSN: 2088-8694 Thus, v u is the virtual control which f acilitates x u reach the set points. Step 2: Identify virtual control to re gulate v u to match v udk . If de viation of v u from v udk is z 2 : z 2 = v u v udk = v u 1 (18) Or it can be represented as v u = v udk + z 2 . Deri v ati v e of (18) results in: _ z 2 = _ v u _ 1 = _ v u @ 1 @ z 1 _ x u (19) The L yapuno v candidae function in this step is chosen as: V 2 = V 1 + 1 2 z 2 2 , we then dif ferentiate both side to get: _ V 2 = k 1 z 2 1 + z 1 z 2 k 2 b z 2 1 + z 2 ( _ v u _ 1 ) (20) In order to ha v e _ V 2 0 , the virtual control function is selected as _ v udk = 2 = k 2 z 2 + _ 1 z 1 k 2 b z 2 1 , where k 2 is a positi v e constant. Substitute _ v udk in (3.1.) for _ v u in (20) , we ha v e: _ V 2 = k 1 z 2 1 + z 1 z 2 k 2 b z 2 1 + z 2 ( k 2 z 2 + _ 1 z 1 k 2 b z 2 1 _ 1 ) = k 1 z 2 1 k 2 z 2 2 (21) In (21) sho ws that _ V 2 0 as required for stability . Therefore, _ v u as virtual control la w is identified. It is a function of i 1 and i 2 based on (12): _ v u = a u : i 1 x 0 x u 2 a u : i 2 x 0 + x u 2 (22) Let u = 2 =a u , from the abo v e equation, it can be sho wn that _ u = @ u @ z 1 _ z 1 + @ u @ v u _ v u Step 3: Design the current control la w such that current i w ould match the set point i d . As pre sented in Step 2, the virtual control la w _ v u is a function of 2 currents i 1 and i 2 , which are equi v alent to electromagnetic forces of the tw o magnets. The f act that these tw o magnets operate simultaneously to maint ain electromagnetic forces leads to higher ener gy consumption. Thus, a control scheme of switching on and of f the tw o currents sequentially is emplo yed to achie v e ener gy sa vings as the follo wing: Case 1: x u < 0 and i 2 = 0 , it is sho wn that i 1 d = ( x 0 x u ) p u (23) On the other hand: _ i 1 d = @ i 1 d @ z 1 _ z 1 + @ i 1 d @ v u _ v u , where _ v u = a u : i 1 x 0 x u 2 . Call z v 1 is the de viation between i 1 and set point i 1 d , i.e.: z v 1 = i 1 _ i 1 d . Dif ferentiating both side of Equation 3.1., we get: _ z v 1 = _ i 1 _ i 1 d . In order to limit the input signal, i.e. current, within a bounded range, the current v ariable is pro vided as ( _ i 1 = I 1 i 1 = i m tanh v i m (24) where i m is the magnitude of current range, and v is the coef ficient of tanh() . Consider the L yapuno v candidate function in this step as: V 3 = V 2 + 1 2 z 2 v 1 , the deri v ati v e of this Equation is: _ V 3 = _ V 2 + z v 1 I 1 @ i 1 d @ z 1 _ z 1 @ i 1 d @ v u _ v u (25) Based on (25) and the condition that _ V 3 0 , the control la w I 1 is selected as I 1 = k v 1 z v 1 + @ i 1 d @ z 1 _ z 1 + @ i 1 d @ v u _ v u (26) Int J Po w Elec & Dri Syst, V ol. 11, No. 4, December 2020 : 2154 2163 Evaluation Warning : The document was created with Spire.PDF for Python.
Int J Po w Elec & Dri Syst ISSN: 2088-8694 r 2159 where k v 1 is a positi v e constant. Substitute this I 1 in (25), we ha v e _ V 3 = _ V 2 + z v 1 k v 1 z v 1 + @ i 1 d @ z 1 _ z 1 + @ i 1 d @ v u _ v u @ i 1 d @ z 1 _ z 1 @ i 1 d @ v u _ v u = _ V 2 k v 1 z 2 v 1 (27) It can be seen from (27) that _ V 3 0 which satisfies stable condition. Thus, with x u > 0 , I 1 as i n (26) is the control la w to stabilize the upper part of the rotor . Case 2: x u > 0 with respect to i 1 = 0 . The condition implies that: i 2 d = ( x 0 + x u ) p u where _ v u = a u : i 2 x 0 + x u 2 . Call z v 2 is the de viation between i 2 and set point i 2 d : z v 2 = i 2 _ i 2 d . Dif ferentiating both side of (3.1.), we get _ z v 2 = _ i 2 _ i 2 d . Similar to case 1: ( _ i 2 = I 2 i 2 = i m tanh v i m (28) The L yapuno v candidate function in this case is V 4 = V 2 + 1 2 z 2 v 2 . The deri v ati v e of this L yapuno v function is: _ V 4 = _ V 2 + z v 2 I 2 @ i 2 d @ z 1 _ z 1 @ i 2 d @ v u _ v u (29) W ith the condition of _ V 4 0 , the control function I 2 is selected as: I 2 = k v 2 z v 2 + @ i 2 d @ z 1 _ z 1 + @ i 2 d @ v u _ v u (30) where k v 2 is a positi v e constant. Substitute the selected I 2 in (29), we ha v e: _ V 4 = _ V 2 + z v 2 k v 2 z v 2 + @ i 2 d @ z 1 _ z 1 + @ i 2 d @ v u _ v u @ i 2 d @ z 1 _ z 1 @ i 2 d @ v u _ v u = _ V 2 k v 2 z 2 v 2 (31) In (31) sho ws ob viously that _ V 4 0 which satisfies stable condition, and the control la w I 2 selected can stabilize the upper part of the rotor . 3.2. Contr ol law of the tw o lo wer electr omagnets The design procedure is similar to that of tw o upper electromagnets as presented in a). It also incl udes 3 steps as the follo wing: Step 1: Identify position control x l to reach the stable position, which is 0 (along 0 x axis). Let z 3 be the de viation between rotor shaft and the stable position, i.e.: z 3 = x 1 ) _ z 3 = _ x l = v l The barrier L yapuno v candidate function is V 5 = 1 2 ln k 2 b k 2 b z 2 3 . The virtual control is chosen as v l dk = k 2 b z 2 3 k 3 z 3 where k 3 is a positi v e constant. Similarly , it can be pro v en that this control la w renders _ V 5 0 . Let v l dk = 3 , and compute its time deri v ati v e _ v l dk = _ 3 = @ 3 @ z 3 _ z 3 = k 3 k 2 b + 3 k 3 z 2 3 _ z 3 (32) Step 2: Select virtual control so that v l w ould be able to reach v l dk . Let the dif ference between v l and v l dk be z 4 : z 4 = v l v l dk = v l 3 . Or v l = v l dk + z 3 In this step, the L yapuno v candidate function is V 6 = V 5 + 1 2 z 2 4 . W e pick the virtual control to satisfy that _ V 6 0 as: _ v l dk = 4 = k 4 z 4 + _ 3 z 3 k 2 b z 2 3 (33) A non-linear contr ol method for active ma gnetic bearings with ... (Danh Huy Nguyen) Evaluation Warning : The document was created with Spire.PDF for Python.
2160 r ISSN: 2088-8694 where k is a positi v e constant. In (13) pro vides the calculation of _ v l from i 3 and i 4 as: _ v l = a l : i 3 x 0 x l 2 a l : i 4 x 0 + x l 2 (34) Let l = 3 =a l , we ha v e _ l = @ l @ z 3 _ z 3 + @ l @ v l _ v l Step 3: The switching scheme of currents supplied to lo wer magnets are Case 1 : x l < 0 and i 4 = 0 implies that: i 3 d = ( x 0 x l ) p l And thus, _ i 3 d = @ i 3 d @ z 3 _ z 3 + @ i 3 d @ v l _ v l . Let z v 3 is the de viation of i 3 from set point i 3 d , we ha v e: z v 3 = i 3 _ i 3 d . Using tanh to limit i 3 in the required range: ( _ i 3 = I 3 i 3 = i m tanh v i m (35) Barrier L yapuno v function in this step is V 7 = V 6 + 1 2 z 2 v 3 . In order to render _ V 7 0 , virtual control I 3 is selected as I 3 = k v 3 z v 3 + @ i 3 d @ z 3 _ z 3 + @ i 3 d @ v l _ v l (36) where k v 3 is a positi v e constant. Case 2 : x l > 0 and i 3 = 0 yields i 4 d = ( x 0 + x l ) p l and its deri v ati v es is _ i 4 d = @ i 4 d @ z 3 _ z 3 + @ i 4 d @ v l _ v l , where _ v l = a l : i 4 x 0 + x l 2 . Applying the analogous design. then selecting virtual control I 4 is sho wn as belo w I 4 = k v 4 z v 4 + @ i 4 d @ z 3 _ z 3 + @ i 4 d @ v l _ v l (37) where k v 4 is a positi v e constant. 4. SIMULA TION AND DISCUSSION Numerical simulation parameters used in the study are presented as: Rotor mass m =5kg; number of coil turns N =400 turns; nominal air g ap x 0 =0.001m; maximum position error k b =0.001m; initial position of upper rotor shaft x u =0.0001m; initial position of lo wer rotor shaft x l =0.0001m; self inductance L s is 0.001H; cross section area of iron core A g is 0.001m 2 ; permeability of air g ap g = 1 : 256 10 6 H/m; moment of inertia I r = 2 : 900 10 2 k g m 2 ; distance from rotor central to upper magnets D u = 4 : 166 10 2 m; distance from rotor central to lo wer magnets D l = 7 : 602 10 2 m. Controller’ s coef ficients are of k 1 = 11; k 2 = 1700; k v 1 = 700; k v 2 = 10000 ; k 3 = 10; k 4 = 1600; k v 3 = 700; k v 4 = 10000 : In the paper , to emphasize the ability of handling input and output constraints of the proposed controller , the rotor shaft is dri v en to equilibrium position and accelerating to 1000rpm. This simulation procedure implies the ef fects of coupling term related to x and y can be eliminated. Case study 1: current limit is i m = 3 A. As sho wn in Figure 2a and 2b, the upper and lo wer body of the AMB can be re gulated from its de viation to the stable position within 0.01 second. Duration to reach the zero displacement lo wer body is also around 0.01 second, ho we v er the o v ershoot is a little bit more, i.e. around 5 m, it is clear that the v alue is well belo w the thres hold define by k b . Meanwhile the duration of central displacement is corrected within t he same interv al and the o v ershoot is slightly smaller than that of lo wer body . Case study 2: current lim it is i m = 2 A. The current limit is reduced to 2A in this case, b ut the initial displacement of the rotor shaft is k ept the same. It is clearly observ ed that the settling times of the upper body and lo wer body in Figure 2a and Figure 2b are slightly longer that those in case one in Figure 3a, 3b respecti v ely . It is due to the f act that controllers need to tak e more ef fort to stabilise the system with smaller current fed thanks to the use of the h yperbolic tangent function in the design. The peak currents supplied to the AMB electromagnetics are all less than the pro vided limit as sho wn in both tw o cases as illustrated in Figure 4 and Figure 5. These peak v alues for lo wer magnets are also less than those of the upper ones. When the current limit is decreased, it is observ ed that there is more oscillation of current response. The cause can be e xplained as less magnetic forces pro vided to the system. Int J Po w Elec & Dri Syst, V ol. 11, No. 4, December 2020 : 2154 2163 Evaluation Warning : The document was created with Spire.PDF for Python.
Int J Po w Elec & Dri Syst ISSN: 2088-8694 r 2161 (a) (b) Figure 2. Rotor displacement, (a) Upper body displacement, and (b) Lo wer body displacement (a) (b) Figure 3. Rotor displacement, (a) Upper body displacement, and (b) Lo wer body displacement (a) (b) Figure 4. Current responses, (a) Upper magnets, and (b) Lo wer magnets (a) (b) Figure 5. Current responses, (a) Upper magnets, and (b) Lo wer magnets A non-linear contr ol method for active ma gnetic bearings with ... (Danh Huy Nguyen) Evaluation Warning : The document was created with Spire.PDF for Python.
2162 r ISSN: 2088-8694 5. CONCLUSIONS In this paper , a 4th order AMB has been modeled as tw o 2nd order subsystem with magnetizing cur - rent is treated as control input. The backstepping method is adopted in control design for the obta ined model. The controllers ha v e been b uilt and v alidated via simulation in dif ferent case studies in a vie w of input satu- ration and bounded output . It is sho wn that our proposed approach is able to f acilitate the AMB re gulate g ap de viations as desire and thus stabilizes the system. Future w ork include practical implem entation of the whole system, it w ould enable further in v estig ation of the proposed w orks thoroughly for real-life applications. A CKNO WLEDGEMENTS This research w as funded by Hanoi Uni v ersity of Science and T echnology grant number T2018-PC- 057. REFERENCES [1] N. F . Al-Muthairi and M. Zribi, “Sliding mode control of a magnetic le vitation system, Mathematical Problems in Engineering, v ol. 2004, no. 2, pp. 93-107, 2004. [2] E. Maslen and G. Schweitzer , Magnetic Bea rings-Theory , Design and Application to Rotating Machinery , Berlin: Springer , v ol. 1, 2009. [3] F . R. Ismagilo v and V . E. V a vilo v , “Superhigh-speed electric motor with unipolar magnetic bearing, Russian Engineering Research, v ol. 38, no. 6, pp. 480-484, 2018. [4] E. Gourc, S. Se guy , and L. Arnaud, “Chatter mil ling modeling of acti v e magnetic bearing spindle in high- speed domain, International Journal of M achine T ools and Manuf acture, v ol. 51, no. 12, pp. 928-936, 2011. [5] C. R. Knospe, Acti v e magnetic beari ngs for machining applications, Control Engineering Practice, v ol. 15, no. 3, pp. 307-313, 2007. [6] B.Han, Z.Huang, and Y .Le, “Design aspects of a lar ge scale turbomolecular pump with acti v e magnetic bearings, V acuum, v ol. 142, pp. 96-105, 2017. [7] T . Allison, J. Moore, R. Pelton, J. W ilk es, and B. Ertas, “7 - turbomachinery , Fundamentals and Applica- tions of Supercritical Carbon Dioxide (sCO2) Based Po wer Cycles, K. Brun, P . Friedman, and R. Dennis, Eds. W oodhead Publishing, pp. 147-215, 2017. [8] D. Clark, M. Jansen, and G. Montague, An o v ervie w of magnetic bearing technology for g as turbine engines, N ASA T echnical Reports Serv er (NTRS) , 2004. [9] W . Zhang and H. Zhu, “Radial magnetic bearings: An o v ervie w , Results in Ph ysics, v ol. 7, pp. 3756- 3766, 2017. [10] L.-C. Lin and T .-B. Gau, “Feedback linearizat ion and fuzzy control for conical magnetic bearings, IEEE transactions on control systems technologyv ol., v ol. 5, no. 4, pp. 417-426, 1997. [11] N. Sarmah and R. T iw ari, “Identification of crack and internal damping parameters using full spectrum responses from a jef fcott rotor incorporated with an acti v e magnetic bearing, International Conference on Rotor Dynamics., pp. 34–48, 2019. [12] Q. Li, W . W ang, B. W ea v er , and X. Shao, Acti v e rotordynamic stability control by use of a combined ac- ti v e magnetic bearing and hole pattern seal component for back-to-back centrifug al compressors, Mech- anism and Machine Theory , v ol. 127, pp. 1-12, 2018. [13] J. Sun, H. Zhou, X. Ma, and Z. Ju, “Study on pid tuning strate gy based on dynamic stif fness for radial acti v e magnetic bearing, ISA T ransactions, v ol. 80, pp. 458-474, 2018. [14] A. M. A.-H. Shata, R. A. Hamdy , A. S. Abdelkhalik, and I. El-Araba wy , A fractional order pid control strate gy in acti v e magnetic bearing systems, Ale xandria Engineering Journal, v ol. 57, no. 4, pp. 3985- 3993, 2018. [15] M. S. Kang, J. L you, and J. K. Lee, “Sliding mode control for an acti v e magnetic bearing system subject to base motion, Mechatronics, v ol. 20, no. 1, pp. 171-178, 2010. [16] A. Bonfitto, L. M. Castellanos Molina, A. T onoli, and N. Amati, “Of fset-Free Model Predicti v e Control for Acti v e Magnetic Bearing Systems, Actuators, v ol. 7, no. 3, p. 46, 2018. [17] R. HE and K.-Z. LIU, A Nonlinear Output Feedback Control Method for a 5DOF Acti v e Magnetic Bearing System, T ransactions of the Society of Instrument and Control Engineers, v ol. 41, no. 3, pp. 216-225, 2014. Int J Po w Elec & Dri Syst, V ol. 11, No. 4, December 2020 : 2154 2163 Evaluation Warning : The document was created with Spire.PDF for Python.
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