Precision motion control of permanent magnet linear synchronous motor servo system based on an integrated controller with inertia variation compensation
Restricted accessResearch articleFirst published online July, 2013
Precision motion control of permanent magnet linear synchronous motor servo system based on an integrated controller with inertia variation compensation
To achieve high robustness and precise motion control of permanent magnet linear synchronous motor servo system, an integrated controller is presented, including a velocity feed forward controller, a zero phase error tracking controller, a disturbance observer and inertia variation compensator. The velocity feed forward controller and the zero phase error tracking controller are included to improve tracking performance and the disturbance observer is involved to enhance disturbance rejection. However, both the zero phase error tracking controller and the disturbance observer are sensitive to inertia variation which often occurs in servo systems. So, an inertia compensator, which consists of a perfect tracking controller for the current loop and a compensation gain, is proposed to retain tracking performance. Detailed experiments are conducted on a PMLSM servo system to confirm the effectiveness of the integrated controller.
MishraSTomizukaM. Projection-based iterative learning control for wafer scanner systems. IEEE/ASME Trans Mechatron2009; 14(3): 388–393.
2.
LinFJChouPHChenCS. DSP-based cross-coupled synchronous control for dual linear motors via intelligent complementary sliding mode control. IEEE Trans Ind Electron2012; 59(2): 1061–1073.
3.
WuJHXiongZHLeeKM. High-acceleration precision point-to-point motion control with look-ahead properties. IEEE Trans Ind Electron2011; 58(9): 4343–4352.
4.
HuCXYaoBChenZ. Adaptive robust repetitive control of an industrial biaxial precision gantry for contouring tasks. IEEE Trans Contr Syst Technol2011; 19(6): 1559–1568.
5.
In-Cheol H, Ki-Bong J and Gyu-Tak K. A study on the characteristics analysis according to overhang and skew of permanent magnet in PMLSM. In: Proceedings of the 2007 International Conference on Electrical Machines and Systems, IEEE, Seoul, South Korea, pp. 254–257.
6.
KimYJWatadaMDohmekiH. Reduction of the cogging force at the outlet edge of a stationary discontinuous primary linear synchronous motor. IEEE Trans Magn2007; 43(Part 1): 40–45.
7.
FerrettiGMagnaniGRoccoP. Modeling, identification, and compensation of pulsating torque in permanent magnet AC motors. IEEE Trans Ind Electron1998; 45(6): 912–920.
8.
ChenSLTanKKHuangSN. Modeling and compensation of ripples and friction in permanent-magnet linear motor using a hysteretic relay. IEEE/ASME Trans Mechatron2010; 15(4): 586–594.
9.
JamaludinZVan BrusselHSweversJ. Friction compensation of an XY feed table using friction-model-based feedforward and an inverse-model-based disturbance observer. IEEE Trans Ind Electron2009; 56(10): 3848–3853.
10.
KempfCJKobayashiS. Disturbance observer and feedforward design for a high-speed direct-drive positioning table. IEEE Trans Contr Syst Technol1999; 7(5): 513–526.
11.
BascettaLRoccoPMagnaniG. Force ripple compensation in linear motors based on closed-loop position-dependent identification. IEEE/ASME Trans Mechatron2010; 15(3): 349–359.
12.
LiSHLiuZG. Adaptive speed control for permanent-magnet synchronous motor system with variations of load inertia. IEEE Trans Ind Electron2009; 56(8): 3050–3059.
13.
PattonRJPutraDKlinkhieoS. Friction compensation as a fault-tolerant control problem. Int J Syst Sci2010; 41(8): 987–1001.
14.
PattonRJKlinkhieoS. An adaptive approach to active fault-tolerant control. Open Automat Contr Syst J2009; 2(1): 54–61.
15.
YaoBHuCXLuL. Adaptive robust precision motion control of a high-speed industrial gantry with cogging force compensations. IEEE Trans Contr Syst Technol2011; 19(5): 1149–1159.
16.
KobayashiHKatsuraSOhnishiK. An analysis of parameter variations of disturbance observer for motion control. IEEE Trans Ind Electron2007; 54(6): 3413–3421.
17.
Yu S and Tomizuka M. Performance enhancement of iterative learning control system using disturbance observer. In: Proceedings of the 2009 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, IEEE, Singapore, pp.987–992.
18.
WangYQGaoFRDoyleFJ. Survey on iterative learning control, repetitive control, and run-to-run control. J Process Contr2009; 19(10): 1589–1600.
LinFJLinCHHuangPK. Recurrent fuzzy neural network controller design using sliding-mode control for linear synchronous motor drive. IEE Proc-Contr Theor Appl2004; 151(4): 407–416.
21.
MasoryO. Improving contouring accuracy of NC/CNC systems with additional velocity feed forward loop. J Eng Ind1986; 108(3): 227–230.
22.
Chen CS, Lin SC, Wang SM, et al. Adaptive digital control based on reduced-order parameter identification and disturbance observer for linear motor. In: Proceedings of 2007 ASME International Manufacturing Science and Engineering Conference, ASME, Atlanta, GA, pp.751–758.
23.
TomizukaM. Zero phase error tracking algorithm for digital-control. J Dyn Syst-Trans ASME1987; 109(1): 65–68.
24.
ChoiJWLeeSCKimHG. Inertia identification algorithm for high-performance speed control of electric motors. IEE Proc-Elect Power Appl2006; 153(3): 379–386.
25.
WangMSKungYSHanhNT. Adaptive low-speed control of permanent magnet synchronous motors. Electr Power Compos Syst2011; 39(6): 563–575.
26.
ChoiSHKoJSKimID. Precise position control using a PMSM with a disturbance observer containing a system parameter compensator. IEE Proc-Elect Power Appl2005; 152(6): 1573–1577.
27.
Chen X and Tomizuka M. Optimal plant shaping for high bandwidth disturbance rejection in discrete disturbance observers. In: Proceedings of the 2010 American Control Conference, IEEE, Baltimore, MD, pp.2641–2646.
28.
PanYRShihYTHorngRH. Advanced parameter identification for a linear-motor-driven motion system using disturbance observer. Int J Precis Eng Manuf2009; 10(4): 35–47.
29.
FujitaKSadoK. Instantaneous speed detection with parameter-identification for AC servo systems. IEEE Trans Ind Appl1992; 28(4): 864–872.
30.
SchrijverEand van DijkJ. Disturbance observers for rigid mechanical systems: equivalence, stability, and design. J Dyn Syst-Trans ASME2002; 124(4): 539–548.
31.
YamadaKKomadaSIshidaM. A study on higher-order disturbance observer and robust stability. Electr Eng Jpn1999; 128(1): 37–44.
