Mamdani和Sugeno模糊控制器在二自由度球平衡系统中的应用性能对比分析

Nikita Nikita, B. Bhushan, Abhishek Chaudhary
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引用次数: 0

摘要

针对具有复杂传递函数的非线性不稳定二自由度球平衡系统,设计了Mamdani模糊推理系统和Sugeno模糊推理系统对球的位置进行控制。模糊等智能控制技术有助于复杂非线性系统的有效控制和位置跟踪。对比分析了Mamdani FIS和Sugeno FIS在球平衡系统上的性能,测试了球位置、球板角度和驱动电压等各种特性。以上升时间、峰值时间、稳定时间、延迟时间和峰值超调量等时域指标作为参数对两种模糊系统进行比较。在MATLAB/ Simulink环境下进行了仿真。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comparative Performance Analysis of Mamdani and Sugeno Fuzzy Controller using Application on 2DoF Ball Balancer System
This paper presents the design of Mamdani Fuzzy Inference System and Sugeno Fuzzy Inference System for controlling the ball position of two degree of freedom ball balancer system which is a nonlinear and unstable system with a complex transfer function. Intelligent control technique such as fuzzy helps in efficient control and position tracking of complex nonlinear systems. A comparative analysis has been performed to test the performance of the Mamdani FIS and Sugeno FIS on the ball balancer system for various characteristics such as ball position, ball plate angle and actuation voltage. The time domain specifications such as rise time, peak time, settling time, delay time and peak overshoot have been used as parameters to compare the two fuzzy systems. The simulations are performed using MATLAB/ Simulink environment.
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