Sliding Mode-Based Fuzzy Model Reference Adaptive Control Technique for an Unstable System

摘要

A comparative performance analysis of two adaptive control techniques for an unstable and disturbed system is presented. The first technique is model reference adaptive control (MRAC) that is based on Lyapunov theory, and second strategy is a combination of sliding mode (SM) and fuzzy logic theories and is known as sliding mode fuzzy model reference adaptive control (SM-FMRAC). In these schemes, asymptotic tracking of three reference models with different settling times and the different damping conditions is achieved. The expected advantage of the proposed SM-FMRAC is to improve the performance specifications over the MRAC technique.