Xian-qi XIA, Bao ZHANG, Xian-tao LI, et al. Low speed sliding mode control of permanent magnet synchronous motor based on extended state observer[J]. Optics and precision engineering, 2019, 27(12): 2628-2638.
DOI:
Xian-qi XIA, Bao ZHANG, Xian-tao LI, et al. Low speed sliding mode control of permanent magnet synchronous motor based on extended state observer[J]. Optics and precision engineering, 2019, 27(12): 2628-2638. DOI: 10.3788/OPE.20192712.2628.
Low speed sliding mode control of permanent magnet synchronous motor based on extended state observer
To overcome the trade-off between high performance and system chattering in conventional Sliding Mode Control(SMC)
and to improve the reliability and pointing accuracy of an aeronautical photoelectric stablization platform based on Permanent Magnet Synchronous Motors(PMSM)
an approach law for sliding mode controller was proposed. The law can effectively weaken the chattering of the system and achieve a better tracking effect. On this basis
to increase the bandwidth of the disturbance observer and the accuracy of the observation
an Extended State Observer(ESO) was introduced into the servo system of the photoelectric stabilization platform to observe the total disturbance of the system.Further
the lumped disturbance was compensated within the sliding mode controller to better suppress the chattering of the system and improve the system′s ability to resist external disturbances. Experimental results demonstrate that the sliding mode controller
combined with ESO
performs better than the traditional PI+DOB control method. In the uniform speed tracking experiment
the RMS value of the system′s position pointing error is observed to be merely 0.005 7°
which completely satisfies the requirements of the aeronautical photoelectric stabilization platform
and the accuracy is observed to be approximately three times as high as that of the classical PI+DOB control method. In the sinusoidal wave tracking experiment
the proposed method is observed to greatly reduce the phase lag of speed tracking
and the position pointing error is detected to be merely one-sixth of that of the PI+DOB method. In the trianguler wave tracking experiment
the RMS of the position pointing error is approximately one third of that of PI+DOB method.
关键词
Keywords
references
KAZMIERKOWSKI M P. Electric motor drives: Modeling, analysis and control, R. Krishan, Prentice-Hall, Upper Saddle River, NJ, 2001, xxviii + 626 pp. ISBN 0-13-0910147 [J]. International Journal of Robust & Nonlinear Control , 2004, 14(8):767-769.
唐任远.现代永磁电机理论与设计[M].北京:机械工业出版社, 2016:1-10.
TANG R Y. Theory and Design of Modern Permanent Magnet Motor [M]. Beijing: Mechanical Industry Press, 2016: 1-10. (in Chinese)
LI X T, ZHANG X P, MAO D P, et al .. Adaptive robust control over high-performance VCM-FSM [J]. Opt. Precision Eng ., 2017, 25(9):2428-2436.(in Chinese)
GVEMES J A, IRAOLAGOITIA A A, DEL HOYO J J, et al ..Torque analysis in permanent-magnet synchronous motors: a comparative study [J]. IEEE Transactions on Energy Conversion , 2011, 26(1):55-63.
GEBREGERGIS A, CHOWDHURY M, ISLAM M, et al .. Modeling of permanent magnet synchronous machine including torque ripple effects [J]. IEEE Transactions on Industry Applications , 2015, 51(1):232-239.
NORIYA NAKAO, KAN AKATSU. Suppressing pulsating torques: torque ripple control for synchronous motors [J]. IEEE Industry Applications Magazine , 2014, 20(6):33-44.
LAM B H, PANDA S K, XU J X, et al .. Torque ripple minimization in PM synchronous motors an iterative learning control approach [C]. IEEE International Conference on Power Electronics & Drive Systems . IEEE , 1999: 1458-1463. https://ieeexplore.ieee.org/document/819439
YUN J P, LEE C W, CHOI S H, et al .. Torque ripples minimization in PMSM using variable step-size normalized iterative learning control [C]. Robotics , Automation and Mechatronics , 2006 IEEE Conference on . IEEE , 2007: 1-6. https://ieeexplore.ieee.org/document/4018863
LIU J, LI H W, DENG Y T. Torque ripple minimization of PMSM based on robust iterative learning control [J]. Opt. Precision Eng ., 2017, 25(10): 2645-2660. (in Chinese)
CHO K R, SEOK J K. Correction on current measurement errors for accurate flux estimation of ac drives at low stator frequency [J]. IEEE Transactions on Industry Applications , 2008, 44(2):594-603.
MA Y H, MAO X Y. An SVPWM dead-time compensation based on current correction algorithms [J]. Electrical Energy Management Technology , 555(18):22-27, 40. (in Chinese)
LI S, ZHOU M, YU X. Design and implementation of terminal sliding mode control method for PMSM speed regulation system [J]. IEEE Transactions on Industrial Informatics , 2013, 9(4):1879-1891.
FNAIECH M A, BETIN F, CAPOLINO G A, et al .. Fuzzy logic and sliding- mode controls applied to six-phase induction machine with open phases[J]. IEEE Trans Ind Electron , 2010, 57(1): 354.
LIU J, LI H W, DENG Y T. PMSM sliding-mode control based on novel reaching law and disturbance observer [J]. Chinese Journal of Engineering , 2017(6):126-137. (in Chinese)
KAN W F, CHEN Q, QI ZH A. SPMSM sliding mode current control based on disturbance compensation [J]. Small & Special Electrical Machines , 2019, 47(2):52-55, 60. (in Chinese)
KRAUSE P, WASYNCZUK O, SUDHOFF S. Analysis of Electric Machinery and Drive Systems [M]. Wiley-IEEE Press, 2013.
ZHANG X, SUN L, ZHAO K, et al .. Nonlinear speed control for PMSM system using sliding-mode control and disturbance compensation techniques [J]. IEEE Transactions on Power Electronics , 2013, 28(3):1358-1365.
UTKIN V, SHI J. Integral sliding mode in systems operating under uncertainty conditions [C]. IEEE Conference on Decision & Control . IEEE, 1996. https://ieeexplore.ieee.org/document/577594
UTKIN V. Sliding mode control in mechanical systems[J]. Proceedings of IECON' 94-20 th Annual Conference of IEEE Industrial Electron-ics , 1994(3):5-9.
韩京清.从PID技术到"自抗扰控制"技术[J].控制工程, 2002, 9(3):13-18.
HAN J Q. From PID technology to ADRC technology [J]. Control Engineering of China , 2002, 9(3):13-18. (in Chinese)
韩京清.一类不确定对象的扩张状态观测器[J].控制与决策, 1995(1):85-88.
HAN J Q. Extended state observer for a class of uncertain objects [J]. Control and Decision , 1995(1):85-88. (in Chinese)