电动车转向系统的模糊控制仿真
首发时间:2011-03-08
摘要:本仿真的背景基于全国大学生智能车竞赛,研究电动车在随机轨迹上的跟踪转向控制。由于电动车转向控制系统的不确定性,使用传统PID控制无法满足控制需求并可能产生调节振荡。模糊控制技术基于模糊数学理论,通过模拟人的近似推理和综合决策过程,使控制算法的可控性、适应性和合理性得到提高。根据电动车转向控制的特点设计了一种简化了的模糊控制器,并与传统PID控制器进行比较。通过在MATLAB下搭建传统PID控制器模型和简化了的模糊控制器模型,最终分析和比较了该模糊控制器和传统PID控制器的不同控制效果。
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The Simulation of Fuzzy Logic Control in Electronic Vehicle Turning System
Abstract:This simulation's background is the National Undergraduate Electronic Vehicle Design Contest. Studied the control of the electronic vehicle turning system on random route. Because the vehicle turning control system is uncertain, using traditional PID controller will be not suitable for the control system or may bring oscillation to control system. Fuzzy logic control technology is based on fuzzy mathematics theory, by imitating the process of human's approximate logic and general strategic to improve the control algorithm's control ability, adapted ability and rationality. Based on the electronic vehicle moving feature, designed a simplifying fuzzy logic controller and compared this fuzzy logic controller with the traditional PID controller. In the end analyzed and compared the simulation results by using Matlab software.
Keywords: simulation technology fuzzy logic control electronic vehicle tracking random route
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