Optimization of closed-loop poles for limited control action and robustness

Abstract

The presented paper exploits optimization and simulation tools of the MATLAB environment to design a robust control system in case of limitations on the controller’s manipulated variable. The design is based on the polynomial approach resulting in the pole-placement problem to be solved. This is addressed numerically by means of the standard MATLAB functions for nonlinear constrained optimization to meet both robustness of the designed loop and constraints on the control input. For this purpose, convenient performance criteria are suggested together with a procedure for the optimization. Presented results of constrained robust control for the AMIRA servo-system show potential of the suggested methodology. © Springer International Publishing Switzerland 2016.