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首页> 外文期刊>International Journal of Innovative Computing Information and Control >MULTI-OBJECTIVE FUZZY OPTIMAL DESIGN OF ALPHA-BETA ESTIMATORS FOR NONLINEAR VARIABLE STRUCTURE CONTROL
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MULTI-OBJECTIVE FUZZY OPTIMAL DESIGN OF ALPHA-BETA ESTIMATORS FOR NONLINEAR VARIABLE STRUCTURE CONTROL

机译:非线性变结构控制的阿尔法-贝塔估计的多目标模糊优化设计

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摘要

Given a tracking control problem for a class of cascade-connected nonlinear systems, we integrate an optimal alpha-beta estimator with a newly variable structure controller to provide excellent tracking performance. The significant feature of the designed alpha-beta estimator is using a multi-objective fuzzy optimization method to obtain the optimal parameters such that the estimated signals can be applied in the feedback controller. In the controller design, we integrate a new hard variable structure control law with a fuzzy-based soft switching control law to achieve the tracking control. To illustrate the effectiveness of the design, the proposed methods are verified through an experimental apparatus, named twin rotor multi-input multi-output system (TRMS). The experimental results strongly suggest that the developed optimal alpha-beta estimator and newly variable structure controller are encouraging for practical applications.
机译:给定一类级联的非线性系统的跟踪控制问题,我们将最优的alpha-beta估计器与新的可变结构控制器集成在一起,以提供出色的跟踪性能。设计的alpha-beta估计器的重要功能是使用多目标模糊优化方法来获得最佳参数,以便可以将估计的信号应用于反馈控制器中。在控制器设计中,我们将新的硬变结构控制律与基于模糊的软开关控制律相集成,以实现跟踪控制。为了说明设计的有效性,建议的方法通过名为双转子多输入多输出系统(TRMS)的实验装置进行了验证。实验结果强烈表明,开发的最佳α-β估计器和新的可变结构控制器对于实际应用是令人鼓舞的。

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