Auto-Tuning for Strongly Stable Adaptive Pole Placement Control System

The auto-tuning method for a strongly stable adaptive control system design is proposed. The proposed methods can place the stability index in the specified area and then, overcome the problem of unstable series compensator that appears in conventional adaptive pole placement control system. The appropriate adaptive control system can be derived by adjusting automatically the weight of a performance criterion in optimal control by means of the fuzzy inference on the basis of the stability index. Furthermore, the transient characteristic is improved by tuning the tracking model according to certain relation between the performance weight in an optimal control design, the settling time and the tracking model pole. In addition, the numerical simulations are used to prove that the proposed methods provide satisfied performance.