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author:

Cheng, G.-Y. (Cheng, G.-Y..) [1] | Peng, K.-M. (Peng, K.-M..) [2] | Wang, H. (Wang, H..) [3]

Indexed by:

Scopus PKU CSCD

Abstract:

A discrete-time composite nonlinear control scheme is proposed to achieve fast and accurate set-point tracking for servo systems subject to disturbances and actuator saturation. The control scheme incorporated a mechnism of disturbance estimation cum compensation into the framework of composite nonlinear feedback (CNF) control. The CNF control law consisted of a linear feedback part for achieving fast response and a nonlinear feedback part for suppressing the overshoot, so as to improve the transient performance. A reduced-order observer was adopted to estimate the unmeasurable state variables and unknown constant disturbance, and then used for compensation to remove the steady state error. Closed-loop stability with the proposed control scheme was analyzed theoretically. The control scheme was applied to a servo system modeled by a double integrator. Simulations were carried out, and a comparison was made with a previous CNF scheme, which resorted to integral control for rejecting disturbance. The results confirm that the proposed control scheme has a better performance robustness in set-point tracking tasks.

Keyword:

Compensation; Disturbance; Nonlinearities; Servo systems; State observer

Community:

  • [ 1 ] [Cheng, G.-Y.]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou 350108, China
  • [ 2 ] [Peng, K.-M.]Temasek Laboratories, National University of Singapore, Singapore 117508, China
  • [ 3 ] [Wang, H.]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou 350108, China

Reprint 's Address:

  • [Cheng, G.-Y.]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou 350108, China

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Source :

Electric Machines and Control

ISSN: 1007-449X

Year: 2010

Issue: 1

Volume: 14

Page: 95-101

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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