A MODEL REFERENCE FUZZY ADAPTIVE SLIDING MODE CONTROLLER
P R Abhijith · International Journal of Engineering Applied Sciences and Technology · 2020
All physical systems are nonlinear in nature.Although nonlinear systems are better they are difficult to control.The Model Reference Adaptive Control (MRAC) that is based on Lyapunov theory is used in conjunction with sliding mode (SM) and fuzzy logic theories and is known as A Model Reference Fuzzy Adaptive Sliding Mode Controller (MRFASMC).In this control scheme, asymptotic tracking of two reference models with different settling times and the different damping conditions is achieved.The outputs do not have oscillation and short settling time.Instead of mathematical modeling of system, fuzzy logic is used for improving transient response of MRAC.The expected advantage of the proposed MRFASMC is to improve the performance specifications in settling time and peak overshoot over the MRAC technique.