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一个新的CCS-MPC算法用于SPMSM位置控制,具有创新的约束处理策略
Lingbo Kong1,2,3, Jianli Wang1,2, Xinyu Dong3
1Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130000, China.
一个新的连续控制集模型预测控制 (NCCS-MPC) 策略增强了安装在表面的永磁同步电机 (SPMSM) 位置控制. 这种方法提高了稳定状态性能,并解决了限制冲突,以改善系统运行.
科学领域:
- 电气工程 电气工程
- 控制系统 控制系统
- 机器人技术 机器人技术 机器人技术
背景情况:
- 安装在表面的永磁同步电机 (SPMSM) 在现代自动化中至关重要.
- 精确的位置控制对于SPMSM应用是必不可少的.
- 现有的模型预测控制 (MPC) 策略面临着稳定状态性能和约束处理的挑战.
研究的目的:
- 为SPMSM位置控制开发一种新的连续控制集模型预测控制 (NCCS-MPC) 策略.
- 为了提高SPMSM位置控制的稳定状态性能.
- 在预测控制系统中解决和解决约束冲突.
主要方法:
- 开发一个改进的多步模型预测位置控制 (IMS-MPPC) 算法.
- 在MPC框架内重新制定预测模型.
- 实施一项创新的约束处理策略 (ICPS),考虑速度,电流和电压的约束.
- 在NCCS-MPC框架内,对单步计算延迟的补偿.
主要成果:
- 拟议的NCCS-MPC战略保证了稳定状态的表现.
- 该ICPS有效地处理速度,电流和电压限制,防止冲突.
- 对比模拟和实验结果验证了NCCS-MPC策略的有效性.
结论:
- 该NCCS-MPC战略在SPMSM位置控制方面取得了重大进展.
- 整合IMS-MPPC和ICPS提供了强大的和准确的控制.
- 开发的战略克服了用于SPMSM应用的传统MPC方法的局限性.
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