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机构地区:[1]北京信息科技大学机电工程学院,北京100192 [2]北京电动车辆协同创新中心,北京100192
出 处:《计算机仿真》2017年第9期151-155,共5页Computer Simulation
基 金:国家自然科学(51275053);北京市教委科研基地建设项目(PXM2014_014224_000065)
摘 要:针对汽车电动助力转向系统控制的可靠性和稳定性要求,由于传统PID控制方法的存在实时跟随性较差,反应滞后,控制精度不足的问题,提出了能动态调整PID参数的模糊PID控制策略,建立了EPS系统联合仿真模型,改善了转向系统的动态响应特性。联合仿真结果表明,开发的EPS系统具有良好的助力性能,与目标电流更加贴近;试验台试验结果表明,建立的模型的正确,并且模糊PID控制下的EPS系统跟随性稳定性明显改善,无论是系统的超调量还是响应速度都要优于传统PID控制器。Aiming at the reliability and stability requirement of the electric power steering system, and due to the poor real-time follow-up, lag and poor control precision of traditional PID control method, a fuzzy PID control strate- gy which can dynamically adjust the PID parameters is proposed, a joint simulation model of ESP system is estab- lished and the dynamic response characteristics of the steering system are improved. Joint simulation results show that the EPS system developed in this paper has a better performance in power-assistance, which is closer to the target current. The test results show that the model is correct, and the following stability of EPS system with fuzzy PID control is improved obviously. Both the overshoot of the system and the response speed are better than the traditional PID controller.
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