Pub Date : 2024-05-17DOI: 10.2174/0118722121298798240430051039
Xiaoyu An, Chenglong Ren, Leilei Guo, Lianhui Jia, Zhihong Sun, Yongxiang Mei, Haoyu Wang
With the continuous progress of technology and the development of shield enterprises, higher requirements are put forward for speed estimation and system stability in the sensorless control system of induction motors in shield machines. In order to solve the problems of velocity observation error and sliding mode vibration of the induction motor velocity observation method based on sliding mold observer, an improved superhelical sliding mold observer is proposed by combining the currently known invention patents and the information based on the induction motor control. The open square of the current error value is introduced into the continuous function of the sliding variable of the observer, and two different functions are used in the boundary layer to replace the sign function, which reduces the sliding mode noise and vibration problems, and the stability of the observer is proved by the Lyapunov stability theory. After that, a phase-locked loop alternative model-referenced adaptive algorithm is used as the rotational speed observation link, which solves the problem that the conventional model-referenced adaptive algorithm relies on the current-modeled magnetic chain observer. The improved super-helical sliding mode observer and phase-locked loop control method effectively reduce the system vibration and speed estimation error of the motor under different speeds and loading conditions, and the observed currents are smoother, which improves the stability of the system. Simulation and experimental results under different working conditions show the effectiveness of the proposed method.
{"title":"Speed Sensor-less Control of Induction Motor based on Super-helical\u0000Sliding Mold","authors":"Xiaoyu An, Chenglong Ren, Leilei Guo, Lianhui Jia, Zhihong Sun, Yongxiang Mei, Haoyu Wang","doi":"10.2174/0118722121298798240430051039","DOIUrl":"https://doi.org/10.2174/0118722121298798240430051039","url":null,"abstract":"\u0000\u0000With the continuous progress of technology and the development of shield\u0000enterprises, higher requirements are put forward for speed estimation and system stability in the sensorless\u0000control system of induction motors in shield machines.\u0000\u0000\u0000\u0000In order to solve the problems of velocity observation error and sliding mode vibration of\u0000the induction motor velocity observation method based on sliding mold observer, an improved superhelical\u0000sliding mold observer is proposed by combining the currently known invention patents and\u0000the information based on the induction motor control.\u0000\u0000\u0000\u0000The open square of the current error value is introduced into the continuous function of the\u0000sliding variable of the observer, and two different functions are used in the boundary layer to replace\u0000the sign function, which reduces the sliding mode noise and vibration problems, and the stability of\u0000the observer is proved by the Lyapunov stability theory. After that, a phase-locked loop alternative\u0000model-referenced adaptive algorithm is used as the rotational speed observation link, which solves\u0000the problem that the conventional model-referenced adaptive algorithm relies on the current-modeled\u0000magnetic chain observer.\u0000\u0000\u0000\u0000The improved super-helical sliding mode observer and phase-locked loop control method\u0000effectively reduce the system vibration and speed estimation error of the motor under different\u0000speeds and loading conditions, and the observed currents are smoother, which improves the stability\u0000of the system. Simulation and experimental results under different working conditions show the effectiveness\u0000of the proposed method.\u0000","PeriodicalId":40022,"journal":{"name":"Recent Patents on Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140962432","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}