Artificial bee colony algorithm based PID controller for steel stripe deviation control system
He Wang, Hualong Du, Qiuyu Cui, Hua Song
Abstract
To improve the performance of the PID controller for a steel strip deviation control system (SSDCS), an enhanced artificial bee colony algorithm (EABC) is proposed to optimize PID controller gains (EABC-PID). The proposed EABC changes the candidate solution equation to balance its explorative and exploitative capabilities. The experiment presents a detailed comparison of EABC-PID and four bio-inspired algorithms based PID controllers considering four types of objective functions. Simulation results show that EABC-PID proves to be superior for SSDCS compared to four bio-inspired algorithms based PID controller in terms of convergence, dynamic adjustment, and robustness.
Topics & Concepts
PID controllerControl theory (sociology)Robustness (evolution)Artificial bee colony algorithmConvergence (economics)Computer scienceAlgorithmControl engineeringEngineeringControl (management)Temperature controlArtificial intelligenceBiologyBiochemistryGeneEconomicsEconomic growthAdvanced Algorithms and ApplicationsAdvanced Sensor and Control SystemsAdvanced Control Systems Design