DocumentCode :
2411983
Title :
A modified generalised minimum-variance stochastic self-tuning controller with pole-zero placement
Author :
Zayed, Ali S. ; Hussain, Amir ; Smith, L.S.
Author_Institution :
Dept. of Comput. Sci. & Math., Stirling Univ., UK
fYear :
2001
fDate :
2001
Firstpage :
252
Lastpage :
256
Abstract :
The paper proposes a modified robust self-tuning controller, which minimises a cost function, incorporating system input, system output and set-point. It provides an adaptive mechanism which ensures that both the closed-loop poles and zeros are placed at their pre-specified positions. The proposed design overcomes the shortcomings of other designs by combining the robustness of classical control strategy of pole-zero placement with the flexibility of self-tuning generalised minimum variance control. It tracks set-point changes with the desired speed of response, penalises the excessive control action, and can be applied to non-minimum phase systems and unstable systems. Besides, at steady state, the controller has the ability to regulate the constant load disturbance to zero. Example simulation results using both simulated and real plant models demonstrate the effectiveness of the proposed controller.
Keywords :
adaptive control; closed loop systems; nonlinear systems; pole assignment; robust control; self-adjusting systems; stochastic systems; zero assignment; adaptive control; closed-loop system; load disturbance; minimum variance control; nonlinear system; nonminimum phase systems; pole-zero placement; robust control; self-tuning; set-point tracking; Control systems; Cost function; Mathematics; Neural networks; Poles and zeros; Robust control; State feedback; Steady-state; Stochastic processes; Weight control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multi Topic Conference, 2001. IEEE INMIC 2001. Technology for the 21st Century. Proceedings. IEEE International
Print_ISBN :
0-7803-7406-1
Type :
conf
DOI :
10.1109/INMIC.2001.995346
Filename :
995346
Link To Document :
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