{"title":"倒立摆稳定与PID、LQ和MPC控制的比较","authors":"Peter Bakaráč, Martin Klauco, M. Fikar","doi":"10.1109/CYBERI.2018.8337540","DOIUrl":null,"url":null,"abstract":"This paper covers mathematical modeling of the inverted pendulum process and design of three types of controllers: PI, linear-quadratic (LQR), and model predictive controller (MPC). Since the dynamics of the inverted pendulum process is in range of milliseconds, the explicit version of MPC is applied. All three controllers are implemented and experimentally tested on a laboratory scale of the inverted pendulum device.","PeriodicalId":6534,"journal":{"name":"2018 Cybernetics & Informatics (K&I)","volume":"111 1","pages":"1-6"},"PeriodicalIF":0.0000,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":"{\"title\":\"Comparison of inverted pendulum stabilization with PID, LQ, and MPC control\",\"authors\":\"Peter Bakaráč, Martin Klauco, M. Fikar\",\"doi\":\"10.1109/CYBERI.2018.8337540\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper covers mathematical modeling of the inverted pendulum process and design of three types of controllers: PI, linear-quadratic (LQR), and model predictive controller (MPC). Since the dynamics of the inverted pendulum process is in range of milliseconds, the explicit version of MPC is applied. All three controllers are implemented and experimentally tested on a laboratory scale of the inverted pendulum device.\",\"PeriodicalId\":6534,\"journal\":{\"name\":\"2018 Cybernetics & Informatics (K&I)\",\"volume\":\"111 1\",\"pages\":\"1-6\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"14\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 Cybernetics & Informatics (K&I)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CYBERI.2018.8337540\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 Cybernetics & Informatics (K&I)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CYBERI.2018.8337540","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Comparison of inverted pendulum stabilization with PID, LQ, and MPC control
This paper covers mathematical modeling of the inverted pendulum process and design of three types of controllers: PI, linear-quadratic (LQR), and model predictive controller (MPC). Since the dynamics of the inverted pendulum process is in range of milliseconds, the explicit version of MPC is applied. All three controllers are implemented and experimentally tested on a laboratory scale of the inverted pendulum device.