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电动助力转向系统Sugeno型模糊及PID的滤波控制研究 被引量:2

Study on EPS Using Sugeno-Fuzzy and PID Filter Control
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摘要 在阐述车辆电动助力转向系统结构与工作原理的基础上,建立其动态数学模型。针对助力电机目标电流输出控制的特点,建立了Sugeno型模糊控制器,同时采用PID闭环反馈控制助力电机实际电流,并由幅频复合滤波对控制信号进行滤波处理,从而进一步提高了控制效果。模拟仿真、硬件在环仿真试验结果表明,该设计方法对控制性能的改善是明显的。 Based on introducing the structure and work principle of vehicle EPS,a dynamic mathematical model was established. According to the characteristics of output control of assist power motor objective current, Sugeno-- fuzzy controller was designed, at the same time, PID closed-- loop feedback controller was applied to control the actual motor current. To make the control effect better,the control signals were filtered with scope and frequency filter. The result of analog simulation, hardware--in --loop simulation test shows that the performance of control becomes better by using this design.
作者 刘俊 陈无畏
机构地区 合肥工业大学
出处 《中国机械工程》 EI CAS CSCD 北大核心 2009年第14期1758-1763,共6页 China Mechanical Engineering
基金 国家自然科学基金资助项目(50575064)
关键词 电动助力转向 Sugeon型模糊控制 PID闭环控制 幅频复合滤波 electric power steering (EPS) Sugeon-- fuzzy control PID closed-- loop control scope and frequency filter
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