{"title":"Whale Optimization Algorithm (WOA) Based Control Of Nonlinear Systems","authors":"V. Srivastava, S. Srivastava","doi":"10.1109/PEEIC47157.2019.8976653","DOIUrl":null,"url":null,"abstract":"An efficient optimization technique based controller is proposed, for non-linear systems like inverted pendulum and robotic arm manipulator which are bench mark problems in control engineering. The optimization based controller is optimizing the gain parameters by using the Whale optimization algorithm (WOA). WOA is applied on Conventional PID controller to optimize their parameters i.e. $\\mathbf{K_{p}}, \\mathbf{K_{i}}$ and $\\mathbf{K}_{\\mathbf{d}}$. Mean Square Error (MSE) is taken as the objective function. The Simulation results show substantial improvement in the performance of the nonlinear systems.","PeriodicalId":203504,"journal":{"name":"2019 2nd International Conference on Power Energy, Environment and Intelligent Control (PEEIC)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 2nd International Conference on Power Energy, Environment and Intelligent Control (PEEIC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PEEIC47157.2019.8976653","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
An efficient optimization technique based controller is proposed, for non-linear systems like inverted pendulum and robotic arm manipulator which are bench mark problems in control engineering. The optimization based controller is optimizing the gain parameters by using the Whale optimization algorithm (WOA). WOA is applied on Conventional PID controller to optimize their parameters i.e. $\mathbf{K_{p}}, \mathbf{K_{i}}$ and $\mathbf{K}_{\mathbf{d}}$. Mean Square Error (MSE) is taken as the objective function. The Simulation results show substantial improvement in the performance of the nonlinear systems.