{"title":"直接驱动电液伺服系统的鲁棒模型预测位置控制","authors":"Haris Sheh Zad, A. Ulasyar, Adil Zohaib","doi":"10.1109/INTELSE.2016.7475169","DOIUrl":null,"url":null,"abstract":"In this paper a robust Model Predictive Controller (MPC) is designed for direct drive electro-hydraulic position servo system in presence of unknown dynamics and uncertain nonlinearities. While considering the nonlinearity of dead zone and also the saturation in direct drive electro-hydraulic servo system, the PID controller suffers from problem of poor robustness and also adaptability. In MPC control technique, model of the position servo system is used in order to predict the future evaluation of the plant for optimizing the control signal. The proposed controller is tested for different scenarios of unmeasured and measured disturbances to the system. The results presented show enhancement in the position tracking performance with the rejection of both measured disturbances and unmeasured Gaussian disturbances. The performance of MPC is also compared with PID controller. The control accuracy, robustness capability and response speed of the position servo system have been significantly improved with MPC controller.","PeriodicalId":127671,"journal":{"name":"2016 International Conference on Intelligent Systems Engineering (ICISE)","volume":"267 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":"{\"title\":\"Robust Model Predictive position Control of direct drive electro-hydraulic servo system\",\"authors\":\"Haris Sheh Zad, A. Ulasyar, Adil Zohaib\",\"doi\":\"10.1109/INTELSE.2016.7475169\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper a robust Model Predictive Controller (MPC) is designed for direct drive electro-hydraulic position servo system in presence of unknown dynamics and uncertain nonlinearities. While considering the nonlinearity of dead zone and also the saturation in direct drive electro-hydraulic servo system, the PID controller suffers from problem of poor robustness and also adaptability. In MPC control technique, model of the position servo system is used in order to predict the future evaluation of the plant for optimizing the control signal. The proposed controller is tested for different scenarios of unmeasured and measured disturbances to the system. The results presented show enhancement in the position tracking performance with the rejection of both measured disturbances and unmeasured Gaussian disturbances. The performance of MPC is also compared with PID controller. The control accuracy, robustness capability and response speed of the position servo system have been significantly improved with MPC controller.\",\"PeriodicalId\":127671,\"journal\":{\"name\":\"2016 International Conference on Intelligent Systems Engineering (ICISE)\",\"volume\":\"267 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"12\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 International Conference on Intelligent Systems Engineering (ICISE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/INTELSE.2016.7475169\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 International Conference on Intelligent Systems Engineering (ICISE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INTELSE.2016.7475169","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Robust Model Predictive position Control of direct drive electro-hydraulic servo system
In this paper a robust Model Predictive Controller (MPC) is designed for direct drive electro-hydraulic position servo system in presence of unknown dynamics and uncertain nonlinearities. While considering the nonlinearity of dead zone and also the saturation in direct drive electro-hydraulic servo system, the PID controller suffers from problem of poor robustness and also adaptability. In MPC control technique, model of the position servo system is used in order to predict the future evaluation of the plant for optimizing the control signal. The proposed controller is tested for different scenarios of unmeasured and measured disturbances to the system. The results presented show enhancement in the position tracking performance with the rejection of both measured disturbances and unmeasured Gaussian disturbances. The performance of MPC is also compared with PID controller. The control accuracy, robustness capability and response speed of the position servo system have been significantly improved with MPC controller.