Optimal weighting matrices design for LQR controller based on genetic algorithm and PSO
SA Ghoreishi, MA Nekoui - Advanced Materials Research, 2012 - Trans Tech Publ
In this paper, considering some important indices such as closed-loop pole locations, speed
of response and combining them into an objective function an optimization problem is
defined in order to select the weighting matrices in Linear Quadratic Regulator (LQR)
controller. To solve this optimization problem the Genetic Algorithm (GA) and Particle Swarm
Optimization (PSO) are utilized and compared. The proposed method is applied to rotational
inverted pendulum. Simulation results show the relative superiority of PSO over GA.
of response and combining them into an objective function an optimization problem is
defined in order to select the weighting matrices in Linear Quadratic Regulator (LQR)
controller. To solve this optimization problem the Genetic Algorithm (GA) and Particle Swarm
Optimization (PSO) are utilized and compared. The proposed method is applied to rotational
inverted pendulum. Simulation results show the relative superiority of PSO over GA.
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