© The Institution of Engineering and Technology
This paper presents a position servo control approach for a permanent magnet linear synchronous motor. The non-linear motor dynamics is expressed in the backstepping control scheme on which a recursive designing procedure is carried out. Based on the desired motion trajectory, the magnetic thrust force is first calculated and then treated as the control objective for the next subsystems. The command voltages to stabilise the whole system are established concerning the electric properties of the magnetic windings. To overcome the impacts of system uncertainties, an adaptive neural network is exploited to estimate the uncertainty and provide necessary compensation in the control effort. Based on the Lyapunov functional analysis, the adaptive laws for online tuning the parameters of the neural networks are derived so that the precision of position servo control can be improved. Compared with the conventional current regulated control scheme, this investigation introduces a voltage-controlled pulse-width modulation with a complete theoretic base, including the mechanical and electrical dynamics. The effectiveness of the proposed approach is verified by the experimental results and a comparison study with a recent work developed in the robust fuzzy PI control scheme.
References
-
-
1)
-
15. Lin, F.J., Chang, C.K., Huang, P.K.: ‘FPGA-based adaptive backstepping sliding-mode control for linear induction motor drive’, IEEE Trans. Power Electron., 2007, 22, (4), pp. 1222–1231 (doi: 10.1109/TPEL.2007.900553).
-
2)
-
21. Lin, C.K., Liu, T.H., Wei, M.Y., Fu, L.C., Hsiao, C.F.: ‘Design and implementation of a chattering-free non-linear sliding-mode controller for interior permanent magnet synchronous drive systems’, IET Electr. Power Appl., 2012, 6, (6), pp. 332–344 (doi: 10.1049/iet-epa.2011.0040).
-
3)
-
C.-S. Liu ,
S.-J. Zhang ,
S.-S. Hu
.
Adaptive neural-networks-based fault detection and diagnosis using unmeasured states.
IET Control Theory Appl.
,
12 ,
1066 -
1076
-
4)
-
9. Lin, F.J., Shen, P.H.: ‘Adaptive fuzzy-neural-network control for a DSP-based permanent magnet linear synchronous motor servo drive’, IEEE Trans. Fuzzy Syst., 2006, 14, (4), pp. 481–495 (doi: 10.1109/TFUZZ.2006.876744).
-
5)
-
5. Sul, S.K.: ‘Control of electric machine drive systems’ (John Wiley & Sons, 2011).
-
6)
-
G.S. Buja ,
M.P. Kazmierkowski
.
Direct torque control of PWM inverter-fed AC motors – a survey.
IEEE Trans. Ind. Electron.
,
4 ,
744 -
757
-
7)
-
D.Y. Lin ,
W. Yan
.
Modeling of cold cathode fluorescent lamps (CCFLs) with realistic electrode profile.
IEEE Trans. Power Electron.
,
699 -
709
-
8)
-
4. Huang, Y.S., Sung, C.C.: ‘Function-based controller for linear motor control systems’, IEEE Trans. Ind. Electron., 2010, 57, (3), pp. 1096–1105 (doi: 10.1109/TIE.2009.2028290).
-
9)
-
S. Kumarawadu ,
T.T. Lee
.
Neuroadaptive combined lateral and longitudinal control of highway vehicles using RBF networks.
IEEE Trans. Control Syst. Technol.
,
4 ,
500 -
512
-
10)
-
J. Park ,
I.W. Sandberg
.
Universal approximation using radial-basis-function networks.
Neural Comput.
,
2 ,
246 -
257
-
11)
-
2. Kung, Y.S.: ‘Design and implementation of a high-performance PMLSM drives using DSP chip’, IEEE Trans. Indust. Electron., 2008, 55, (3), pp. 1341–1351 (doi: 10.1109/TIE.2007.909736).
-
12)
-
7. Kung, Y.S., Hung, C.C., Tsai, M.H.: ‘FPGA realization of an adaptive fuzzy controller for PMLSM drive’, IEEE Trans. Indust. Electron., 2009, 56, (8), pp. 2913–2932.
-
13)
-
J.W. Jung ,
Y.S. Choi ,
V.Q. Leu ,
H.H. Choi
.
Fuzzy PI-type current controllers for permanent magnet synchronous motors.
IET Electr. Power Appl.
,
1 ,
143 -
152
-
14)
-
W.T. Su ,
C.M. Liaw
.
Adaptive positioning control for a LPMSM drive based on adapted inverse model and robust disturbance observer.
IEEE Trans. Power Electron.
,
2 ,
505 -
517
-
15)
-
8. Lin, C.T., Lee, C.S.G.: ‘Neural fuzzy systems’ (Prentice-Hall, 1996).
-
16)
-
14. Lin, F.J., Shen, P.H., Fung, R.F.: ‘RFNN control for PMLSM drive via backstepping technique’, IEEE Trans. Aerosp. Electron. Syst., 2005, 41, (2), pp. 620–644 (doi: 10.1109/TAES.2005.1468753).
-
17)
-
10. Lin, F.J., Teng, L.T., Chu, H.: ‘A robust recurrent wavelet neural network controller with improved particle swarm optimization for linear synchronous motor drive’, IEEE Trans. Power Electron., 2008, 23, (6), pp. 3067–3078 (doi: 10.1109/TPEL.2008.2002081).
-
18)
-
16. Famouri, P.: ‘Control of a linear permanent magnet brushless dc motor via exact linearization methods’, IEEE Trans. Energy Convers., 1992, 7, (3), pp. 544–551 (doi: 10.1109/60.148577).
-
19)
-
3. Su, W.T., Liaw, C.M.: ‘Robust balanced control of LPMSM servo drive with mass identification and large command change’, IEE Pro. – Electr. Power Appl., 2006, 153, (3), pp. 439–450 (doi: 10.1049/ip-epa:20050152).
-
20)
-
C.M. Liaw ,
R.Y. Shue ,
H.C. Chen ,
S.C. Chen
.
Development of a linear brushless DC motor drive with robust position control.
IEE Proc., Electr. Power Appl.
,
2 ,
111 -
118
-
21)
-
T.H. Liu ,
Y.C. Lee ,
Y.H. Chang
.
Adaptive controller design for a linear motor control system.
IEEE Trans. Aerosp. Electron. Syst.
,
2 ,
601 -
616
http://iet.metastore.ingenta.com/content/journals/10.1049/iet-epa.2014.0246
Related content
content/journals/10.1049/iet-epa.2014.0246
pub_keyword,iet_inspecKeyword,pub_concept
6
6