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Current Search: Performance Evaluation and Application to DC Motor Speed Control System Design

Intelligent Control and Automation 2013年第1期4卷 42-54页

作者： deacha puangdownreong Department of Electrical Engineering South-East Asia University Bangkok Thailand

This paper proposes the current search (CS) metaheuristics conceptualized from the electric current flowing through electric networks for optimization problems with continuous design variables. The CS algorithm possesses two powerful strategies, exploration and exploitation, for searching the global optimum. Based on the stochastic process, the derivatives of the objective function is unnecessary for the proposed CS. To evaluate its performance, the CS is tested against several unconstrained optimization problems. The results obtained are compared to those obtained by the popular search techniques, i.e., the genetic algorithm (GA), the particle swarm optimization (PSO), and the adaptive tabu search (ATS). As results, the CS outperforms other algorithms and provides superior results. The CS is also applied to a constrained design of the optimum PID controller for the dc motor speed control system. From experimental results, the CS has been successfully applied to the speed control of the dc motor.

关键词： Current Search Metaheuristics PID Controller DC Motor Speed Control System

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Application of Current Search to Optimum PIDA Controller Design

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Intelligent Control and Automation 2012年第4期3卷 303-312页

作者： deacha puangdownreong Department of Electrical Engineering South-East Asia University Bangkok Thailand

An application of the current search (CS), one of the most efficient metaheuristic optimization search techniques, to design the PIDA (proportional-integral-derivative-accelerated) controllers is proposed in this paper. The CS is applied to search for the optimum PIDA controller’s parameters. The obtained controllers are tested against nine benchmark systems collected by ?sstr?m and H?gglund considered as the hard-to-be-controlled plants and an automatic voltage regulator (AVR) system. As results, the optimum PIDA controllers can be successfully obtained by the CS and the responses of controlled systems are very satisfactory.

关键词： Current Search Metaheuristics PIDA Controller AVR System

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Current Search and Applications in Analog Filter Design Problems

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通讯和计算机（中英文版） 2012年第9期9卷 1083-1096页

作者： deacha puangdownreong Anusom Sakulin Department of Electrical Engineering Faculty of Engineering South-East Asia University Bangkok 10160 Thailand

The AI (artificial intelligent) search techniques have become acceptable worldwide as the most efficient and powerful tools for various real-world problems. In this paper, a novel meta-heuristic optimization algorithm named the CS (current search) is proposed. The CS is inspired by an electric current flowing through electric networks. Performance of the CS is evaluated against six benchmark surface optimization problems. Results obtained by the CS are compared with those obtained by the popular search techniques widely used to solve combinatorial optimization problems, i. e., the GA (genetic algorithm), the PSO (particle swarm optimization), and the ATS (adaptive tabu search). As results, it could be concluded that the CS outperforms other algorithms. Results obtained by the CS are superior within reasonable time consumed. Finally, the proposed CS is applied to solve analog filter design problems.

关键词：模拟滤波器搜索技术滤波器设计应用启发式优化算法组合优化问题粒子群优化人工智能

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