Automatic Tuning for Model Predictive Control: Can Particle Swarm Optimization find a better parameter?

This paper presents an automatic tuning method of model predictive control (MPC) using particle swarm optimization (PSO). Although it is difficult for unskilled control designers to tune MPC weight parameters, PSO can solve this issues and practical control can be realized in various industrial problems. One of the challenges in MPC is how control parameters can be tuned for various target plants and usage of PSO for automatic tuning is one of the solutions. The numerical results show the effectiveness of the proposed PSO-based automatic tuning method.