Particle Swarm Optimization-based design of polynomial RST controllers

PSO Based Polynomial RST Controller Design and Sensitivity Analysis

“…It is a stochastic Evolutionary Computation technique based on the movement and intelligence of swarms. The PSO mechanism is initialized with a population of random solutions and searches for optima by updating generations [2]. A swarm consists of N particles that are moving around in a D dimensional search space.…”

“…The particle swarm optimization concept involves, at each time step, changing the velocity of each particle towards its global best and local best locations. [2] The particles are manipulated according to the following equations of motion:…”

“…DESIGN EXAMPLE In this paper, the dc drive is taken as a design example [2]. The pulse transfer function is given by:…”

“…Also, there are various optimization techniques for the synthesis of RST controllers. In this paper, particle swarm optimization (PSO) is used for the designing purpose [2]. This algorithm is used to obtain the best and optimal values of controller coefficients by minimizing the integral absolute error of the output.…”

“…It is faster as the number of iterations are lower than other popular techniques like genetic algorithm (GA). Till now in [2], the development of RST controller has already been done using PSO and it was also compared with GA. But, in this paper, the new study is further done which is sensitivity analysis with auxiliary poles.…”