Qihui Bian , Qingqing Miao , Zhiyong Yu , Tao Tang , Haotong Ma
{"title":"用于惯性稳定跟踪平台抑制瞬态峰值扰动的非线性加速度扰动观测器。","authors":"Qihui Bian , Qingqing Miao , Zhiyong Yu , Tao Tang , Haotong Ma","doi":"10.1016/j.isatra.2025.02.024","DOIUrl":null,"url":null,"abstract":"<div><div>A high-bandwidth nonlinear acceleration disturbance observer (NOADOB) is proposed to reject transient peak disturbances mainly arising from velocity commutation of an inertial stabilization-tracking platform (ISTP). The approach is essentially based on extracting acceleration peak signals and applying a saturation function. The observer structure employs acceleration measurements and combines velocity loop input and control quantity to acquire peak signals. Differing from the general disturbance observer, the extraction of acceleration peaks is used to quickly capture the change in error and effectively reduce the impact of signal noise for the observer implementation. To trade off the observer bandwidth and the system stability, a partial compensatory scheme of limiting the filter output with a nonlinear saturation function is adopted. The relationship between the saturation threshold and the filter bandwidth is analyzed for optimal balance. It is theoretically and experimentally proved the effectiveness of NOADOB in attenuating error peaks. Moreover, the proposal accelerates the dynamic response to peak disturbances, breaks through the constraint of accurate modeling, and improves disturbance rejection performance.</div></div>","PeriodicalId":14660,"journal":{"name":"ISA transactions","volume":"160 ","pages":"Pages 237-247"},"PeriodicalIF":6.5000,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Nonlinear acceleration disturbance observer to reject transient peak disturbances for an inertial stabilization-tracking platform\",\"authors\":\"Qihui Bian , Qingqing Miao , Zhiyong Yu , Tao Tang , Haotong Ma\",\"doi\":\"10.1016/j.isatra.2025.02.024\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>A high-bandwidth nonlinear acceleration disturbance observer (NOADOB) is proposed to reject transient peak disturbances mainly arising from velocity commutation of an inertial stabilization-tracking platform (ISTP). The approach is essentially based on extracting acceleration peak signals and applying a saturation function. The observer structure employs acceleration measurements and combines velocity loop input and control quantity to acquire peak signals. Differing from the general disturbance observer, the extraction of acceleration peaks is used to quickly capture the change in error and effectively reduce the impact of signal noise for the observer implementation. To trade off the observer bandwidth and the system stability, a partial compensatory scheme of limiting the filter output with a nonlinear saturation function is adopted. The relationship between the saturation threshold and the filter bandwidth is analyzed for optimal balance. It is theoretically and experimentally proved the effectiveness of NOADOB in attenuating error peaks. Moreover, the proposal accelerates the dynamic response to peak disturbances, breaks through the constraint of accurate modeling, and improves disturbance rejection performance.</div></div>\",\"PeriodicalId\":14660,\"journal\":{\"name\":\"ISA transactions\",\"volume\":\"160 \",\"pages\":\"Pages 237-247\"},\"PeriodicalIF\":6.5000,\"publicationDate\":\"2025-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ISA transactions\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0019057825001144\",\"RegionNum\":2,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/3/1 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"AUTOMATION & CONTROL SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ISA transactions","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0019057825001144","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/3/1 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
Nonlinear acceleration disturbance observer to reject transient peak disturbances for an inertial stabilization-tracking platform
A high-bandwidth nonlinear acceleration disturbance observer (NOADOB) is proposed to reject transient peak disturbances mainly arising from velocity commutation of an inertial stabilization-tracking platform (ISTP). The approach is essentially based on extracting acceleration peak signals and applying a saturation function. The observer structure employs acceleration measurements and combines velocity loop input and control quantity to acquire peak signals. Differing from the general disturbance observer, the extraction of acceleration peaks is used to quickly capture the change in error and effectively reduce the impact of signal noise for the observer implementation. To trade off the observer bandwidth and the system stability, a partial compensatory scheme of limiting the filter output with a nonlinear saturation function is adopted. The relationship between the saturation threshold and the filter bandwidth is analyzed for optimal balance. It is theoretically and experimentally proved the effectiveness of NOADOB in attenuating error peaks. Moreover, the proposal accelerates the dynamic response to peak disturbances, breaks through the constraint of accurate modeling, and improves disturbance rejection performance.
期刊介绍:
ISA Transactions serves as a platform for showcasing advancements in measurement and automation, catering to both industrial practitioners and applied researchers. It covers a wide array of topics within measurement, including sensors, signal processing, data analysis, and fault detection, supported by techniques such as artificial intelligence and communication systems. Automation topics encompass control strategies, modelling, system reliability, and maintenance, alongside optimization and human-machine interaction. The journal targets research and development professionals in control systems, process instrumentation, and automation from academia and industry.