基于变伸缩域模糊系统的直接自适应控制

Direct adaptive control via fuzzy systems with variable contractionexpansion factors

提出一种基于变伸缩域模糊逼近器的直接自适应控制策略.通过在线更新广义模糊基函数的变伸缩因子,实现模糊系统论域及其模糊划分的自适应调整,从而能够以精简的模糊规则实现理想的逼近效果.此外,通过设计积分型逼近误差补偿,避免了鲁棒补偿中的高频控制输入.仿真研究和比较分析验证了所提出的控制方法的有效性和优越性.

A direct adaptive control scheme based on a fuzzy approximator with variable contraction-expansion factors（VCEF-DAFC） is proposed. The adaptation of domain and partition pertaining to the VCEF-based fuzzy system（VCEF-FS） is achieved by updating online the VCEF, and thereby leading to parsimonious fuzzy rules which can achieve remarkable approximation accuracy. Moreover, an integral-type compensator for the approximation error is designed to further avoid high-frequency control signals associated with the robust term. Simulation studies and comprehensive comparisons demonstrate the effectiveness and superiority of the proposed VCEF-DAFC approach.