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提升机电机械盘式制动器的间隙与压力控制
引用本文:王传礼,王顺,靳华伟,霍环宇,许虎威. 提升机电机械盘式制动器的间隙与压力控制[J]. 科学技术与工程, 2022, 22(30): 13242-13248
作者姓名:王传礼  王顺  靳华伟  霍环宇  许虎威
作者单位:安徽理工大学 机械工程学院
基金项目:国家自然科学基金项目(面上项目,重点项目,重大项目)
摘    要:制动间隙调节和正压力控制是电机械盘式制动器设计和实现的关键问题。通过对矿井提升机电机械盘式制动器的分析,建立了包括电机、减速器、碟簧及螺纹副的数学模型。使用遗传算法和模糊控制律优化比例-积分-微分控制器(proportional-integral-derivative, PID)的参数选择。针对制动间隙和正压力控制,将具有自整定功能的PID应用在矿井提升机电机械盘式制动器。对比仿真与试验结果,讨论了控制器的性能。试验表明:制动间隙调节时间为0.8 s,上升时间为0.4 s,稳态误差为4%;制动器正压力与电机电压呈线型关系,模糊PID控制器能够将制动正压力控制在目标范围内,具有很好的跟踪性能。

关 键 词:间隙调节  正压力控制  电机械制动  遗传算法  模糊PID
收稿时间:2021-10-27
修稿时间:2022-07-23

Braking Gap and Force Control for Electromechanical Disc Brake of Mine Hoist
Wang Chuangli,Wang Shun,Jin Huawei,Huo Huanyu,Xu Huwei. Braking Gap and Force Control for Electromechanical Disc Brake of Mine Hoist[J]. Science Technology and Engineering, 2022, 22(30): 13242-13248
Authors:Wang Chuangli  Wang Shun  Jin Huawei  Huo Huanyu  Xu Huwei
Affiliation:School of Mechanical Engineering,Anhui University of Science and Technology
Abstract:Braking gap adjustment and positive force control are among the key issues in the design and implementation of electromechanical disc brake. The mathematical model including motor, reducer, disc spring, and thread pair was established by analyzing the disc brake of mine hoisting machinery. Genetic algorithm and fuzzy control law were used to optimize proportional integral derivative (PID) parameter selection. In order to control braking gap and positive force, PID with self-tuning function was applied to electromechanical disc brake of mine hoist. The performance of the controller was discussed by comparing the simulation and test results. The test results show that the brake gap adjustment time is 0.8 s, the rise time is 0.4 s, and the steady-state error is 4%. The positive brake pressure is linearly related to the motor voltage, and the fuzzy PID controller is able to control the positive brake pressure within the target range with good tracking performance.
Keywords:gap adjustment   positive force control   electromechanical brake   genetic algorithm   fuzzy PID
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