Tuning of Proportional Derivative Control Parameters Base Particle Swarm Optimization for Automatic Brake System on Small Scale Wind Turbine Prototype

Ali Musyafa, S. Pratama and Ronny Nuriyati

Modern Applied Science, 2015, vol. 9, issue 2, 289

Abstract: In this paper the authors propose a method for tuning proportional derivative control parameters using the particle swarm optimizer for dynamic environments. The process consists of the brake system in wind turbine plant. Each particle to reset its record of its best position as the environment changes, to avoid making direction and velocity decisions on the basis of outdated information. In this study designed and implemented an automatic brake control system based Proportional-Derivative Particle Swam Optimization (PD-PSO). The goal is to maintain the reliability of the wind turbine generator, safety systems and the application of control systems in the system is more appropriate. Wind turbine rotation speed is detected using a rotary encoder to transmit data to the microcontroller and further control signals sent to the servo motor which serves to reduce the rotational speed of the wind turbine rotational. In this study the PD control mode parameters based on PSO, from the experiment for each parameter set points, among others when the set point in 5 pulse per second (PPS), have gain Kip?=0.2812 and Kid=1.2459, maximum overshoot = 9 % and error steady state = 2 second. For set point 10 PPS, Kp=??0.4738 and Kd=0606, maximum overshoot = 914% and error steady state = 2 second. And last set point 15 PPS obtained parameter gain Kp=0.7147 and Kd = 2.0804, maximum overshoot=17% and error steady state 2 % criterion=2 second. Â

Date: 2015
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