基于模糊控制的电机减速控制策略设计OA
Design of motor deceleration control strategy based on fuzzy control
油气田所采用的电机设备在比例积分控制的作用下,电机减速系统存在鲁棒性和抗扰性弱、实际输出与期望输出之间的目标误差大等问题.为此,基于模糊控制和终端滑模控制技术,提出一种电机减速控制策略.以电机系统的基本结构和旋转坐标系下的数学模型为基础,分别建立终端滑模控制的滑模面函数和趋近律函数,弱化外在复合扰动对电机系统的影响,提升电机系统的鲁棒性.同时,以模糊规则和模糊收敛函数为基础,引入模糊控制对终端滑模控制中的各类控制参数进行优化调节,从而提升电机系统的响应速度和控制精度.与单一模糊控制和终端滑模控制方法进行对比,结果表明,所提控制策略在各类扰动影响下的目标误差均在1%以内,可为电机在复杂工况下的稳定运行提供解决方案.
Under the action of proportional-integral(PI)control applied to motor equipment in oil and gas fields,the motor deceleration system suffers from weak robustness and anti-disturbance capability,as well as large target error between the actual output and the expected output.On this basis,a motor deceleration control strategy is proposed based on fuzzy control and terminal sliding mode control technology.Based on the basic structure of the motor system and its mathematical model in the rotating coordinate system,the sliding mode surface function and reaching law function of terminal sliding mode control are established respectively,which weakens the influence of external compound disturbances on the motor system and improves the robustness of the motor system.On the basis of fuzzy rules and fuzzy convergence function,fuzzy control is introduced to optimize various control parameters in terminal sliding mode control,thus effectively improving the response speed and control accuracy of the motor system.In comparison with single fuzzy control and terminal sliding mode control,the experimental results show that the target error of the proposed control strategy under the influence of various disturbances is within 1%,which provides a new solution for the stable operation of the motor under complex conditions.
张宏忠;苏敏文;李景彬;陈立;隆世明
低渗透油气田勘探开发国家工程实验室,陕西 西安 710000低渗透油气田勘探开发国家工程实验室,陕西 西安 710000低渗透油气田勘探开发国家工程实验室,陕西 西安 710000长庆油田分公司 第六采油厂采油工艺研究所,陕西 榆林 718600低渗透油气田勘探开发国家工程实验室,陕西 西安 710000
信息技术与安全科学
电机系统减速控制模糊控制终端滑模控制模糊优化复合扰动
motor systemdeceleration controlfuzzy controlterminal sliding mode controlfuzzy optimizationcompound disturbance
《现代电子技术》 2026 (12)
31-36,42,7
国家自然科学基金项目(52078062)
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