Optimal IIR digital filter design using spiral technique
The multi-functional digital filters design using spiral optimization technique is introduced in this paper. The metaheuristic technique inspired by the dynamics of spirals is used to optimize the performance in terms of its robustness, implementation, local optimal trapping as well as fast convergence. In this article multiple functional IIR filter design with mathematical is introduced for power system application. Next, the spiral optimization algorithm featured and applied to solve the optimization task. The optimization aim is to match a desired magnitude response as well as the other requirements including minimum and constant group delay. The optimization problem is unfolded by discretizing the stability margin parameter & to generate the corresponding filter coefficients the magnitude optimization algorithm is used on the basis of the group delay by minimizing the objective function. The objectives of IIR filter design include matching some frequency response characteristics to reduce the time response with minimum linear phase.