An Adaptive Fuzzy Sliding Mode Control Scheme for Robotic Systems

• 作者: Abdel Badie Sharkawy Shaaban Ali Salman
• 来源期刊: 智能控制与自动化(英文)
• 学科: 工学
• 关键词: SLIDING MODE CONTROL (SMC) ADAPTIVE FUZZY SLIDING MODE CONTROL (AFSMC) FUZZY Logic CONTROL (FLC) ADAPTIVE Laws Robotic Control.
• 年，卷（期）: 2011,（4）
• 页码范围: 299-309
• 页数: 11页
• 分类号: TP2

摘要

In this article, an adaptive fuzzy sliding mode control (AFSMC) scheme is derived for robotic systems. In the AFSMC design, the sliding mode control (SMC) concept is combined with fuzzy control strategy to obtain a model-free fuzzy sliding mode control. The equivalent controller has been substituted for by a fuzzy system and the uncertainties are estimated on-line. The approach of the AFSMC has the learning ability to generate the fuzzy control actions and adaptively compensates for the uncertainties. Despite the high nonlinearity and coupling effects, the control input of the proposed control algorithm has been decoupled leading to a simplified control mechanism for robotic systems. Simulations have been carried out on a two link planar robot. Results show the effectiveness of the proposed control system.