Title :
State space based adaptive control with pole restriction
Author_Institution :
Dept. of Syst. Eng., King Fahd Univ. of Pet. & Miner., Dhahran, Saudi Arabia
fDate :
11/1/1993 12:00:00 AM
Abstract :
A state space based self-tuning controller is proposed that incorporates a closed loop pole restriction principle. The plant matrices, Kalman gain and the states are estimated using a bootstrap method. The state feedback control design is based upon a modified LQ infinite-time control that restricts the closed loop poles within a user-specified disk in the z-plane to meet the maximum overshoot and the maximum settling time specifications. The control design is called only when the estimated closed loop poles with the fixed existing control rule move out of the specified disk. This approach reduces the computational requirement significantly and also increases the stability robustness by providing a piecewise time-invariant control.
Keywords :
adaptive control; closed loop systems; control system synthesis; feedback; optimal control; poles and zeros; self-adjusting systems; stability; state-space methods; Kalman gain estimation; bootstrap method; closed loop pole restriction; maximum overshoot; maximum settling time; modified LQ infinite-time control; piecewise time-invariant control; plant matrix estimation; self-tuning controller; stability robustness; state estimation; state feedback control design; state space based adaptive control; user-specified z-plane disk;
Journal_Title :
Control Theory and Applications, IEE Proceedings D