预定义时间位置跟踪优化控制,根据观察员的感应电机规定的性能
Le Liu1, Peng Liu1, Zhaopeng Teng1
1Key Lab of Industrial Computer Control Engineering of Hebei Province, Yanshan University, Qinhuangdao 066004, Hebei, China; Key Laboratory of Intelligent Rehabilitation and Neromodulation of Hebei Province, Yanshan University, Qinhuangdao 066004, Hebei, China.
ISA transactions
|March 2, 2024
概括
本研究引入了感应电机的新控制方法,在设定的时间内实现精确的位置跟踪. 它有效地处理系统不确定性,并使用先进的算法优化性能.
科学领域:
- 控制系统工程 控制系统工程
- 电气机器 电气机器
- 优化算法 优化算法
背景情况:
- 感应电机在位置控制方面面临挑战,原因是参数变化,负载干扰和建模不准确.
- 精确估计不可测量的变量,如转子流量连接,对于有效的控制至关重要.
- 在不确定的条件下,现有的控制方法可能难以在保证的时间框架内实现精确的跟踪.
研究的目的:
- 开发一种预定义时间位置跟踪优化控制方法,用于具有规定的性能的感应电机.
- 为了解决参数干扰,负载干扰和感应电机控制中的建模错误.
- 为了提高感应电机位置控制的收率和稳定状态精度.
主要方法:
- 一个预定义时间的滑动模式观察器 (PTSMO) 用于准确的转子流量连接估计.
- 预定义时间干扰观察员 (PTDOs) 用于识别系统的不确定性.
- 预定义时间控制与位置和流量连接控制器规定的性能功能的集成.
- 使用自适应遗传算法 (AGA) 和改进的粒子群优化 (IPSO) 的综合优化.
主要成果:
- 拟议的方法可以在预定义的时间内实现感应电机的准确位置跟踪.
- 通过AGA和IPSO优化的控制器表现出更好的收率和稳定状态精度.
- 模拟和dSPACE实验验证了控制策略的有效性和实际适用性.
结论:
- 开发的预定义时间控制策略有效地解决了各种不确定性的感应电机的位置控制问题.
- PTSMO,PTDO和混合优化算法 (AGA-IPSO) 的组合显著提高了控制性能.
- 拟议的方法为实际的感应电机位置控制应用提供了强大而高效的解决方案.
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