{"title":"分式模糊PID控制器用于直流电机转速控制","authors":"Sushil Kumar Gupta, P. Varshney","doi":"10.1109/ICACC.2013.7","DOIUrl":null,"url":null,"abstract":"In this paper, a novel technique for controlling the speed of DC motor is developed. It uses the conventional fuzzy control for controlling the K<sub>p</sub>, K<sub>i &</sub> K<sub>d</sub> of an integer-order PID controller along with fractional-order integral and derivative parts. The parameters of the PID controller are first tuned using Ziegler Nichols. Then, using GA, optimized solutions for K<sub>p</sub>, K<sub>i &</sub> K<sub>d</sub> and λ & μ (which are the fractional components of integral & derivative parts) are obtained. A Fuzzy Logic Controller (FLC) whose inputs are error & change in error is designed to obtained the crisp values of K<sub>p</sub>, K<sub>i &</sub> K<sub>d</sub>. These values along with the results of GA, are combined to yield better performance. Simulation results are presented in MATLAB. These results are compared with the conventional PID & fractional-order PID simulation results and it is observed that the proposed technique gives better performance.","PeriodicalId":109537,"journal":{"name":"2013 Third International Conference on Advances in Computing and Communications","volume":"80 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"18","resultStr":"{\"title\":\"Fractional Fuzzy PID Controller for Speed Control of DC Motor\",\"authors\":\"Sushil Kumar Gupta, P. Varshney\",\"doi\":\"10.1109/ICACC.2013.7\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a novel technique for controlling the speed of DC motor is developed. It uses the conventional fuzzy control for controlling the K<sub>p</sub>, K<sub>i &</sub> K<sub>d</sub> of an integer-order PID controller along with fractional-order integral and derivative parts. The parameters of the PID controller are first tuned using Ziegler Nichols. Then, using GA, optimized solutions for K<sub>p</sub>, K<sub>i &</sub> K<sub>d</sub> and λ & μ (which are the fractional components of integral & derivative parts) are obtained. A Fuzzy Logic Controller (FLC) whose inputs are error & change in error is designed to obtained the crisp values of K<sub>p</sub>, K<sub>i &</sub> K<sub>d</sub>. These values along with the results of GA, are combined to yield better performance. Simulation results are presented in MATLAB. These results are compared with the conventional PID & fractional-order PID simulation results and it is observed that the proposed technique gives better performance.\",\"PeriodicalId\":109537,\"journal\":{\"name\":\"2013 Third International Conference on Advances in Computing and Communications\",\"volume\":\"80 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-08-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"18\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 Third International Conference on Advances in Computing and Communications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICACC.2013.7\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 Third International Conference on Advances in Computing and Communications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICACC.2013.7","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Fractional Fuzzy PID Controller for Speed Control of DC Motor
In this paper, a novel technique for controlling the speed of DC motor is developed. It uses the conventional fuzzy control for controlling the Kp, Ki & Kd of an integer-order PID controller along with fractional-order integral and derivative parts. The parameters of the PID controller are first tuned using Ziegler Nichols. Then, using GA, optimized solutions for Kp, Ki & Kd and λ & μ (which are the fractional components of integral & derivative parts) are obtained. A Fuzzy Logic Controller (FLC) whose inputs are error & change in error is designed to obtained the crisp values of Kp, Ki & Kd. These values along with the results of GA, are combined to yield better performance. Simulation results are presented in MATLAB. These results are compared with the conventional PID & fractional-order PID simulation results and it is observed that the proposed technique gives better performance.