| 基于GA优化模糊PID控制的ATO算法研究 |
| |
| 作者单位： | ;1.兰州交通大学自动控制研究所;2.国家绿色镀膜技术与装备工程技术研究中心;3.重庆交通职业学院 |
| |
| 摘 要： | 针对城市轨道列车的自动驾驶系统(ATO)传统PID控制方法适应性差和智能化不足的问题,基于该领域专家知识和驾驶司机的操作经验,将遗传算法优化的模糊PID控制算法运用在ATO的控制系统中,并运用MTALAB进行仿真。仿真结果表明,该控制算法优于传统的PID控制,能够满足ATO系统对不同工况下的适应性和智能性要求,可以达到精确停车和准点到站的目的,能够有效提高列车舒适性和降低列车能耗。
|
| 关 键 词： | ATO 模糊PID 遗传算法 MATLAB仿真 |
Research on ATO Algorithm Based on Fuzzy PID Control with Optimized GA |
| |
| Institution: | ,Institute of Automatic control, Lanzhou Jiaotong University,National Green Coating Ttechnology and Equipment Engineering Technology Research Center,Chongqing Vocational College of Transportation |
| |
| Abstract: | Aiming at the poor adaptability and lack of intelligence of the traditional PID control method ofthe urban rail trains automatic train operation(ATO) system, the fuzzy PID control algorithm optimizedby genetic algorithm is applied to the control of ATO based on the operation experiences of experts anddrivers in this field, and the simulation is carried out by using MTALAB. Simulation results show that thisalgorithm is better than traditional PID control, allowing ATO system to satisfy requirements ofadaptability and intelligence in different working conditions, achieve precise stop and punctual arrival,improve ride comfort and reduce effectively energy consumption of train. |
| |
| Keywords: | ATO Fuzzy PID Genetic algorithm(GA) MTALAB simulation |
| 本文献已被 CNKI 等数据库收录！ |
|
