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Application of an improved PSO algorithm in PID parameters optimization

Shao Hui-feng

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Abstract

PID control is the most common control method used in process control, and the core technology lies in the optimization of the PID parameters. An improved particle swarm optimization is proposed in tuning and optimization of PID parameters. The simulation results show the effectiveness of improved PSO and its performance is better than GA algorithm and base PSO, which means a well prospective.

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What this paper is about

PID control is the most common control method used in process control, and the core technology lies in the optimization of the PID parameters. An improved particle swarm optimization is proposed in tuning and optimization of PID parameters. The simulation results show the effectiveness of improved PSO and its performance is better than GA algorithm and base PSO, which means a well prospective.

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Available abstract

PID control is the most common control method used in process control, and the core technology lies in the optimization of the PID parameters. An improved particle swarm optimization is proposed in tuning and optimization of PID parameters. The simulation results show the effectiveness of improved PSO and its performance is better than GA algorithm and base PSO, which means a well prospective.

Key concepts: PID controller, Particle swarm optimization, Control theory (sociology), Base (topology), Process (computing), Computer science, Algorithm, Mathematical optimization

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