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The PID Prediction Control System Using Particle Swarm Optimization and Genetic Algorithms

並列摘要


In this paper, the particle swarm optimization (PSO) algorithm and genetic algorithm (GA) are employed to optimize the parameters of PID algorithm in order to improve the performance of PID control system. Moreover, we propose the grey model based on grey system theory to combine with PID control to establish the PID prediction control system. The proposed control system can realize the accurate control in real-time. Finally, we validated the effectiveness of the proposed control system by computer simulation.

被引用紀錄


張文郁(2010)。使用粒子群聚演算法設計最佳化灰色PID與模糊控制器〔碩士論文,國立臺北科技大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0006-2401201114280200

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