Robust pole placement using firefly algorithm

Abstract

In this paper, the new automatic tool that is based on the firefly algorithm whose purpose is optimization of pole location in the control of state feedback has been presented. The aim is satisfying specifications of performance like settling and rise time, steady state as well as overshoot error. Utilization of Firefly algorithm has demonstrated the benefits of controllers based on this kind of time domain over controllers based on the frequency domain like Proportional-Integral Derivative (PID). The presented method is more particular for the multi-input multi-output (MIMO) systems that have substantial state numbers. The simulation results indicated that the proposed method had superior performance in providing solution to the problems that involved stabilization of helicopter under the Rationalized Model of helicopter/ Moreover, it demonstrates the Firefly algorithm effectiveness with regards to, the state observer design and feedback controller and auto-tuning.

Design of a Matlab toolbox and GUI for minimal realizations

“…The controller canonical form was obtained from a right coprime fraction. This is particularly interesting for controller design using pole placement [22]. If a left coprime fraction is used, the result is a minimal realization in observer canonical form.…”

Combined economic-emission load dispatch solution using firefly algorithm and fuzzy approach

“…The FA is first introduced by Xin-She Yang in 2008 and the behavior of the algorithm is inspired by fireflies' movement [3]. Moreover, the main advantages of FA are simple concept and easy to implement since it is based on the global communication among the swarming particles [20][21][22].…”