Hybrid control for induction servomotor drive

The position control of an induction servomotor drive using a hybrid control system is studied. The design of a hybrid control system contains three parts: (i) the design of a computed torque controller that compensates for nonlinear effects and attempts to cancel nonlinear terms; (ii) the design of an adaptive fuzzy sliding-mode uncertainty observer to estimate all uncertainties that exist in the controlled system; and (iii) the design of a robust controller to dispel the effect of the minimum approximation error introduced by the uncertainty observer. All parameters in the hybrid control system are tuned in the sense of the Lyapunov theorem, thus the stability of the closed-loop system can be guaranteed. Simulated and experimental results verify that the proposed hybrid control scheme can achieve a favourable tracking performance and is robust with regard to parameter variations and external load disturbances. In addition, the advantages of the proposed hybrid control system are indicated in comparison with the traditional computed torque and sliding-mode control systems.

[1]  Bimal K. Bose,et al.  Power Electronics and Ac Drives , 1986 .

[2]  Weiping Li,et al.  Applied Nonlinear Control , 1991 .

[3]  C. S. George Lee,et al.  Reinforcement structure/parameter learning for neural-network-based fuzzy logic control systems , 1994, IEEE Trans. Fuzzy Syst..

[4]  Ching-Jung Lee,et al.  The adaptive control of nonlinear systems using the Sugeno-type of fuzzy logic , 1999, IEEE Trans. Fuzzy Syst..

[5]  Li-Xin Wang,et al.  Adaptive fuzzy systems and control - design and stability analysis , 1994 .

[6]  Chuen-Chien Lee,et al.  Fuzzy logic in control systems: fuzzy logic controller. II , 1990, IEEE Trans. Syst. Man Cybern..

[7]  Li-Chen Fu,et al.  Intelligent robot deburring using adaptive fuzzy hybrid position/force control , 2000, IEEE Trans. Robotics Autom..

[8]  Chuen-Chien Lee FUZZY LOGIC CONTROL SYSTEMS: FUZZY LOGIC CONTROLLER - PART I , 1990 .

[9]  Derek A. Linkens,et al.  Learning control using fuzzified self-organizing radial basis function network , 1993, IEEE Trans. Fuzzy Syst..

[10]  Sheng-De Wang,et al.  Adaptive tuning of the fuzzy controller for robots , 2000, Fuzzy Sets Syst..

[11]  Ching-Chang Wong,et al.  Fuzzy control of nonlinear systems using rule adjustment , 1999 .

[12]  Youngwan Cho,et al.  A multirule-base controller using the robust property of a fuzzy controller and its design method , 1996, IEEE Trans. Fuzzy Syst..

[13]  Chang-Ming Liaw,et al.  Position control with fuzzy adaptation for induction servomotor drive , 1995 .

[14]  C. C. Chan,et al.  New scheme of sliding-mode control for high performance induction motor drives , 1996 .

[15]  T. Lipo,et al.  Vector Control and Dynamics of AC Drives , 1996 .