PSO based tuning of PID controller for coupled tank system
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This paper presents modern optimization methods for determining the optimal parameters of proportional-integral-derivative (PID)controller for coupled tank systems. The main objective is to obtain a fast and stable control system for coupled tank systems by tuning of the PIDcontroller using the Particle Swarm Optimization algorithm. The result is compared in terms of system transient characteristics in time domain. Theobtained results using the Particle Swarm Optimization algorithm are also compared to conventional PID tuning method like the Ziegler-Nicholstuning method, the Cohen–Coon method and IMC (Internal Model Control). The simulation results have been simulated by MATLAB and showthat tuning the PID controller using the Particle Swarm Optimization (PSO) algorithm provides a fast and stable control system with low overshoot,fast rise time and settling time.
Abstract
This paper presents modern optimization methods for determining the optimal parameters of proportional-integral-derivative (PID)controller for coupled tank systems. The main objective is to obtain a fast and stable control system for coupled tank systems by tuning of the PIDcontroller using the Particle Swarm Optimization algorithm. The result is compared in terms of system transient characteristics in time domain. Theobtained results using the Particle Swarm Optimization algorithm are also compared to conventional PID tuning method like the Ziegler-Nicholstuning method, the Cohen–Coon method and IMC (Internal Model Control). The simulation results have been simulated by MATLAB and showthat tuning the PID controller using the Particle Swarm Optimization (PSO) algorithm provides a fast and stable control system with low overshoot,fast rise time and settling time.
참고문헌 (14)
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