Achieving strongly stable adaptive control system using intelligent auto-tuning

Abstract

The practical design method of a strongly stable system for adaptive control is proposed. The stable pole of an optimal servo system is specified to the pole placement of a closed-loop in the adaptive control system and the stability index is introduced for the evaluation of the relative stability. The appropriate characteristics can be derived, by adjusting automatically the weight of a performance index in optimal control by means of the fuzzy inference on the basis of a stability index. Numerical simulation is used to prove that the proposed method provides sufficient performance regarding both tuning and control.