Robust optimal fuzzy control electrical position servo system by a novel model following approach

Abstract

提出一种应用在位置伺服系统上的最优模糊模型跟踪控制方案 ,并且将其与最优模糊控制进行了比较。研究结果表明 ,该方案即使在大的参数变化与负载扰动情况下 ,仍能保持系统输出最优或近似最优 ,具有很好的鲁棒性 In order to improve the robustness of Optimal Fuzzy Control(OFC),this paper presents an Optimal Fuzzy Model Following Control(OFMFC)scheme for position servo systems The proposed scheme is based on OFC and a novel model following control architecture A Genetic Algorithm is employed to optimize fuzzy controller parameters Numerical results illustrate that the proposed control can retain optimal system performance even in the presence of significant parameter variations The comparison between OFMFC and OFC shows that OFMFC is much more robust than pure OFC scheme