K. Ashutha, E. Yadav, Thirunavukkarasu Indiran, C. Shreesha
{"title":"Implementation of fuzzy control for a nonlinear system — Conical level process","authors":"K. Ashutha, E. Yadav, Thirunavukkarasu Indiran, C. Shreesha","doi":"10.1109/ICITEED.2017.8250455","DOIUrl":null,"url":null,"abstract":"Fuzzy logic is the trending control strategy and ideal in its performance to the real world of control. It has been implemented in most of the control fields because of its expertise in fault tolerance, knowledge representation, nonlinearity, uncertainty, real time operation etc. In this paper mamdani type of fuzzy controller is considered for controlling nonlinear conical tank process. The identification of conical tank system is performed by two point method and fuzzy controller is implemented. The results of fuzzy controller is compared with AMIGO (Approximate M constrained Integral Gain Optimization) and conventional controllers for evaluating its performance indices like IAE, ITAE and ISE using MATLAB simulation environment and real time experimentation was also carried out. It is also observed that the fuzzy controllers perform better than that of AMIGO PI and conventional PI controller.","PeriodicalId":267403,"journal":{"name":"2017 9th International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"129 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 9th International Conference on Information Technology and Electrical Engineering (ICITEE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICITEED.2017.8250455","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
Fuzzy logic is the trending control strategy and ideal in its performance to the real world of control. It has been implemented in most of the control fields because of its expertise in fault tolerance, knowledge representation, nonlinearity, uncertainty, real time operation etc. In this paper mamdani type of fuzzy controller is considered for controlling nonlinear conical tank process. The identification of conical tank system is performed by two point method and fuzzy controller is implemented. The results of fuzzy controller is compared with AMIGO (Approximate M constrained Integral Gain Optimization) and conventional controllers for evaluating its performance indices like IAE, ITAE and ISE using MATLAB simulation environment and real time experimentation was also carried out. It is also observed that the fuzzy controllers perform better than that of AMIGO PI and conventional PI controller.
模糊逻辑是一种趋势控制策略,对现实世界的控制具有理想的性能。由于其在容错、知识表示、非线性、不确定性、实时性等方面的优势,在大多数控制领域得到了应用。本文考虑用mamdani型模糊控制器控制非线性锥槽过程。采用两点法对圆锥罐系统进行辨识,并采用模糊控制器进行辨识。在MATLAB仿真环境下,将模糊控制器与AMIGO (Approximate M constrained Integral Gain Optimization)和常规控制器的结果进行比较,评价其IAE、ITAE和ISE等性能指标,并进行了实时实验。模糊控制器的性能优于AMIGO PI控制器和传统PI控制器。