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电磁主动悬架阻尼系数优化设计 被引量:1

Optimization Design of Damping Value of Electromagnetic Active Suspension
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摘要 为提高电磁主动悬架可靠性,将液压阻尼器与线性电机并联。首先建立了电磁主动悬架动力学模型;随后设计了双环控制系统,外环为LQG控制下的车辆动力学控制,内环为电流跟踪控制,并采用粒子群算法确定了不同控制目标下的加权系数;然后分别以乘坐舒适性和行驶安全性为控制目标,研究了不同控制目标下阻尼系数对动力学性能和能耗特性的影响规律,结果表明:时域内,阻尼系数对LQG控制下的电磁主动悬架动力学性能无影响,但其能量消耗随着阻尼系数的增大先减小后增大,为此分别确定了c_s=1000Ns/m作为乘坐舒适性为控制目标下的阻尼值,c_s=2000Ns/m作为行驶安全为控制目标下的阻尼值。频域内,无论是以乘坐舒适性为控制目标,还是以行驶安全为控制目标,阻尼系数都会使得乘坐舒适性有所恶化,而行驶安全性得到改善。 In order to improve the reliability of electromagnetic active suspension, the hydraulic damper is parallel with the linear motor. At first, the electromagnetic active suspension dynamics model is established. Then the dual loop control system is designed. The outer loop for the vehicle dynamics control is under the LQG control, the inner loop is under the current tracking control,and Particle Swarm Algorithm is used to determine the weighting factor when different control objects are considered. According to the ride comfort and driving safety as the control target, the paper studies the influence of damping coefficient under different control targets on the terms of dynamic performance and power consumption characteristics. The results show that: in the time domain, the damping coefficient have no influence on the dynamic performance while the electromagnetic active suspension is in LQG control, but its energy consumption with damping increases first and then decreases and then increases. As a result, we identifies the cs=1000Ns/m when the ride comfort is the control target, and cs= 2000Ns/m when driving safety is the control target .In the frequency domain, no matter how to change the damping value whether with the ride comfort as the goal, or with the driving safety as the goal, ride comfort is worsen, and driving safety is improved.
出处 《机械设计与制造》 北大核心 2017年第4期222-225,共4页 Machinery Design & Manufacture
基金 国家自然科学基金(51505247) 江苏省道路载运工具新技术应用重点实验室开放基金项目(BM20082061501) 2016年绍兴市高等教育教学改革课题
关键词 电磁主动悬架 阻尼系数 动力学性能 能耗特性 仿真分析 Electromagnetic Active Suspension Damping Value Dynamic Performance Simulation Analysis
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