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Type-2 Combined T-S Adaptive Fuzzy Control

机译:Type-2 组合式 T-S 自适应模糊控制

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摘要

For a class of nonlinear systems with a nonlinear relationship between input and output, a fuzzy control method combining interval type-2 and T-S fuzzy controller is proposed based on type-2 fuzzy system theory. In order to ensure its stability, anti-interference ability, and minimum approximation error, this design combines direct, indirect, supervised, and compensation control types to construct the controller. In this way, the structure of the controller not only has the characteristics of the type-2 fuzzy set, which can reduce the uncertainty of rules, but also has a T-S fuzzy model with linear combination of input variables, which can improve the modeling accuracy and reduce the number of rules of the system. By using the Lyapunov synthesis method, the global stability and the convergence of the closed-loop system under the condition that all variables are uniformly bounded are analyzed, and the adaptive laws of the system parameters are given as well. Finally, the effectiveness and superiority of the proposed method are verified by simulation.
机译:针对一类输入输出具有非线性关系的非线性系统,该文基于2型模糊系统理论,提出了一种区间2型与T-S型模糊控制器相结合的模糊控制方法。为了保证其稳定性、抗干扰能力和最小的逼近误差,该设计结合了直接、间接、监督和补偿控制类型来构建控制器。这样,控制器的结构不仅具有2类模糊集的特点,可以降低规则的不确定性,而且具有输入变量线性组合的T-S模糊模型,可以提高建模精度,减少系统的规则数量。利用Lyapunov综合方法,分析了所有变量均有界条件下闭环系统的全局稳定性和收敛性,并给出了系统参数的自适应规律。最后,通过仿真验证了所提方法的有效性和优越性。

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