改进的粒子群优化方法:一种高效的参数调节方法,使用双引擎主动干扰拒绝控制器的调节参数
Yi Deng1,2, Jiying Zhu1, Hai Liu1,3
1School of Electronic and Electrical Engineering, Wuhan Textile University, Wuhan 430200, China.
Sensors (Basel, Switzerland)
|October 28, 2023
概括
本研究介绍了一种改进的粒子群优化 (IPM) 方法,以优化双引擎系统的活性干扰拒绝控制器 (ADRC). 在双引擎控制应用中,IPM-ADRC增强了同步性,稳定性和稳定性.
科学领域:
- 控制系统工程 控制系统工程
- 机器人技术 机器人技术 机器人技术
- 机械电子学是什么意思 机械电子学
背景情况:
- 双引擎控制系统需要精确的同步,以获得最佳性能.
- 主动干扰拒绝控制器 (ADRC) 提供了稳定性和快速响应,但也带来了参数调整的挑战.
研究的目的:
- 为了解决在双引擎系统中对ADRC的参数设置中的困难.
- 为了提高双电机控制的同步维护和稳定性.
主要方法:
- 开发一个简化的双引擎ADRC模型,包括电流和转速循环.
- 应用一个改进的粒子群优化 (IPM) 方法来调整ADRC参数.
- 将IPM方法与双电机ADRC模型集成,以优化同步.
主要成果:
- 拟议的IPM优化的双引擎ADRC与现有方法相比,表现出优越的稳定性.
- 在系统性能中实现了最小的超速和微不足道的稳定状态错误.
- 在实验结果中验证了高稳定性和增强的同步维护.
结论:
- IPM方法有效地减轻了双引擎系统的ADRC参数设置的挑战.
- 优化的双发动机ADRC为同步维护提供了强大而稳定的解决方案.
- 这种方法为需要精确的双引擎协调的应用提供了显著的改进.
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