A new Displacement based PSO algorithm Optimised PI Controller for Speed Control of a DC Motor [ READ ]
N Ratana Devi* and Robert L Biate
Manufacturing, plant processing, industrial automation, mills power servos, robotics and many more field of industries and automobiles all are possible because of drive systems run by the DC motors. Besides its salient features, in a motor control system, hundreds of problems are faced such as change in load dynamics, speed control or noise parameters. In our research work we have designed a new Displacement based Particle Swarm Optimisation algorithm (DPSO) to control the speed of a DC motor. Our proposed DPSO consider the previous and current velocities of the particles to evaluate the next position of the particles. We have used DPSO to optimise the PI controller parameters. Along with analysis of DPSO, we have done a comparative test with Standard PSO and accelerated PSO optimised PI controller. Design and simulation of controllers are done in LabVIEW VI.
N Ratana Devi* and Robert L Biate
Manufacturing, plant processing, industrial automation, mills power servos, robotics and many more field of industries and automobiles all are possible because of drive systems run by the DC motors. Besides its salient features, in a motor control system, hundreds of problems are faced such as change in load dynamics, speed control or noise parameters. In our research work we have designed a new Displacement based Particle Swarm Optimisation algorithm (DPSO) to control the speed of a DC motor. Our proposed DPSO consider the previous and current velocities of the particles to evaluate the next position of the particles. We have used DPSO to optimise the PI controller parameters. Along with analysis of DPSO, we have done a comparative test with Standard PSO and accelerated PSO optimised PI controller. Design and simulation of controllers are done in LabVIEW VI.
