An Optimal Fuzzy High-Gain Observer for an Uncertain Nonlinear System

International Journal of Advanced Robotic Systems

关键词: Optimal Performance;    Takagi-Sugeno Fuzzy Model;    H∞ Control;    Adaptive Projection;   

DOI  :  10.5772/56060

学科分类：自动化工程

来源: InTech

【 摘 要 】

This paper proposes an alternative optimal fuzzy high-gain observer design scheme. The structure of the proposed observer is represented by the Takagi-Sugeno fuzzy model and has the integrator of the estimation error. It improves the performance of a high-gain observer and makes the observer robust against noisy measurements, uncertainties and parameter perturbation. The proposed observer adopts the H∞ control technique and an adaptive projection algorithm. This technique results in a reduction of both the fuzzy approximation error and time-varying disturbances. In addition, the proposed observer accomplishes a fast transient response and parameter convergence. Some simulation results are given to present the validity of the theoretical derivations and the performance of the proposed observer.

【 授权许可】

CC BY