Supachai Prainetr, Tharathip Phurahong, K. Janprom, Natchanun Prainetr
{"title":"Design Tuning PID Controller For Temperature Control Using Ant Colony Optimization","authors":"Supachai Prainetr, Tharathip Phurahong, K. Janprom, Natchanun Prainetr","doi":"10.1109/ICPEA.2019.8818517","DOIUrl":null,"url":null,"abstract":"Proportion Integral Derivative(PID) controller have to apply in the control system and industries. The objective of this paper was to propose a design the tuning PID used Ant Colony Optimization(ACO) with simulation temperature control of the plant model. The methodology were used technique to search the optimization parameter for tuning controller and comparison with Ziegler-Nichols(ZN). The results found that the time response by ZN has been the overshoot 5.51% and ACO 1.22%. The performance of simulation the plant model has clearly, ACO has been overshoot lower than ZN method, this technique were bring to develop for tuning controller system and application in the practical.","PeriodicalId":427328,"journal":{"name":"2019 IEEE 2nd International Conference on Power and Energy Applications (ICPEA)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE 2nd International Conference on Power and Energy Applications (ICPEA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPEA.2019.8818517","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Proportion Integral Derivative(PID) controller have to apply in the control system and industries. The objective of this paper was to propose a design the tuning PID used Ant Colony Optimization(ACO) with simulation temperature control of the plant model. The methodology were used technique to search the optimization parameter for tuning controller and comparison with Ziegler-Nichols(ZN). The results found that the time response by ZN has been the overshoot 5.51% and ACO 1.22%. The performance of simulation the plant model has clearly, ACO has been overshoot lower than ZN method, this technique were bring to develop for tuning controller system and application in the practical.