具有扰动输入的非线性倒立摆动力系统的模糊智能控制

2011 INTERNATIONAL CONFERENCE ON RECENT ADVANCEMENTS IN ELECTRICAL, ELECTRONICS AND CONTROL ENGINEERING Pub Date : 2011-12-01 DOI:10.1109/ICONRAEECE.2011.6129799

L. B. Prasad, H. Gupta, B. Tyagi

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引用次数: 17

摘要

以倒立摆这一高度非线性不稳定系统为基准，实现了该控制方法。模糊控制是一种利用人类专家知识进行控制决策的智能控制技术。本文研究了具有扰动输入的非线性倒立摆车动力系统的建模与控制设计。本文利用Mamdani和Takagi-Sugeno-Kang (TSK)模糊推理系统实现了PID控制和模糊控制方法。开发了MATLAB-SIMULINK模型用于控制方案的仿真。仿真结果证明了模糊控制方法的相对优势。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Intelligent control of nonlinear inverted pendulum dynamical system with disturbance input using fuzzy logic systems

The inverted pendulum, a highly nonlinear unstable system is used as a benchmark for implementing the control methods. Fuzzy control, one of the intelligent control techniques, uses the human expert knowledge to make control decisions. In this paper the modeling and control design of nonlinear inverted pendulum-cart dynamic system with disturbance input have been presented. Here PID control and fuzzy control methods using Mamdani and Takagi-Sugeno-Kang (TSK) fuzzy inference systems have been implemented. The MATLAB-SIMULINK models have been developed for simulation of the control schemes. The simulation results justify the comparative advantages of fuzzy control methods.

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来源期刊

2011 INTERNATIONAL CONFERENCE ON RECENT ADVANCEMENTS IN ELECTRICAL, ELECTRONICS AND CONTROL ENGINEERING

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