Model Reference Adaptive Control for Linear System with Improved Convergence Rate-parameter Adaptation Method

선형시스템을 위한 개선된 수렴속도를 갖는 기준모델 적응제어

Adaptive controllers for linear unknown coefficient system, that is corrupted by disturbance, are designed by parameter adaptation model reference adaptive control(MRAC). This design is stemmed from the Lyapunov direct method. To reduce the model following error and to improve the convergence rate of the design, an indirect-suboptimal control law is derived. Proper compensation for the effects of time-varying coefficients and plant disturbance are suggested. In the design procedure no complete identification of unknown coefficients are required.