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of its best position as the environment changes, to avoid making direction and velocity decisions on the basis of outdated information.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.
Highlights
1.1 Introduce the Energy CrisisThe energy crisis in Indonesia that reliance on fossil fuels is so big, so often discussed about the need for new alternative energy sources that can reduce environmental pollution which is used as a source of electrical energy
The purpose of the control system was added to the turbine is set rotational speed of the wind turbine shaft connected to the generator that has been rotated by the wind turbine will produce electrical energy [2]
From the above graph it can be seen that the major influence to get the best response is the number of iterations, the number of the swarm will affect the response to be generated because the more the number the faster the swarm to find the best response but it all depends on the initial state of the particle in the PSO program
Summary
The energy crisis in Indonesia that reliance on fossil fuels is so big, so often discussed about the need for new alternative energy sources that can reduce environmental pollution which is used as a source of electrical energy. This is why humans began to search for new energy sources to replace the old energy source is fossil energy. One of the benefits of the current turbine that has an important role for Indonesia, namely the application of wind turbines to generate electricity, but this time the presence of wind turbines in Indonesia is still very conventional and lack of control systems so that the electrical energy generated is still not optimal [1]. The purpose of the control system was added to the turbine is set rotational speed of the wind turbine shaft connected to the generator that has been rotated by the wind turbine will produce electrical energy [2]
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