Iterative Learning-Based Negative Effect Compensation Control of Disturbance to Improve the Disturbance Isolation of System

doi:10.3390/s22093464

CIOMP OpenIR

	Iterative Learning-Based Negative Effect Compensation Control of Disturbance to Improve the Disturbance Isolation of System
	X. T. Li; L. Wang; X. Q. Xia; Y. Z. Liu and B. Zhang
	2022
发表期刊	Sensors
卷号	22 期号:9 页码:18
摘要	At present, the cogging torque of permanent magnet synchronous motors (PMSM) seriously limits the Los pointing accuracy of aviation photoelectric stabilization platforms based on PMSM, which also restricts the requirements of ultra-long-distance and high-precision aviation reconnaissance and detection. For this problem, an off-line iterative learning control (ILC) was designed, and on this basis, a control method of negative effect compensation of disturbance (NECOD) is proposed. Firstly, the "dominant disturbance torque" in the system, that is, the cogging torque with the characteristics of position periodicity, was suppressed by off-line ILC according to different positions. Then, for the "residual disturbance" after compensation, NECOD was used to suppress it. In the constant speed scanning experiment of the aviation photoelectric stabilization platform, the method of combining the off-line iterative learning controller and the negative effect compensation of disturbance (NECOD + ILC) proposed in this paper significantly improved the Los control accuracy of the platform when compared with the classical active disturbance rejection control (ADRC) and ADRC + ILC methods, and the Los pointing error of the constant speed scanning process had only increased by less than 5% when the system had +/- 15% parameter perturbation. In addition, NECOD + ILC has fewer parameters and is easy to adjust, which is conducive to engineering application and promotion.￥internal-pdf://0229904595/Iterative Learning-Based Negative Effect Compe.pdf￥10.3390/s22093464￥https://mdpi-res.com/d_attachment/sensors/sensors-22-03464/article_deploy/sensors-22-03464-v2.pdf?version=1651895367￥英语￥sci&ei
DOI	10.3390/s22093464
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收录类别	sci ; ei
语种	英语
引用统计
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/66783
专题	中国科学院长春光学精密机械与物理研究所
推荐引用方式 GB/T 7714	X. T. Li,L. Wang,X. Q. Xia,et al. Iterative Learning-Based Negative Effect Compensation Control of Disturbance to Improve the Disturbance Isolation of System[J]. Sensors,2022,22(9):18.
APA	X. T. Li,L. Wang,X. Q. Xia,&Y. Z. Liu and B. Zhang.(2022).Iterative Learning-Based Negative Effect Compensation Control of Disturbance to Improve the Disturbance Isolation of System.Sensors,22(9),18.
MLA	X. T. Li,et al."Iterative Learning-Based Negative Effect Compensation Control of Disturbance to Improve the Disturbance Isolation of System".Sensors 22.9(2022):18.

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