STABILITY ANALYSIS OF ADAPTIVE CONTROL BASED ON CHARACTERISTIC MODEL FOR THE MINIMUM-PHASE MIMO SYSTEM

摘要

In this paper, a stability analysis framework of adaptive control based on characteristic model for the SISO minimum-phase system is generalized to the MIMO minimum-phase system, which parameterizes the high-order, minimum- phase system to the lower-order linear model via a special decoupling method, and analyzes the stability of the complex sampled-data adaptive system via the stability analysis method of sampled-data system based on the approximated discrete-time model. Moreover, based on the idea, a decentralized modeling method helpful to design the decentralized controller, is proposed and applied in the attitude controller design of a kind of hypersonic vehicle. Simulation results show that the proposed methodology achieves excellent tracking performance.