Optimal design of fractional-order PID controllers for multi-input multi-output (variable air volume) air-conditioning system using particle swarm optimization

摘要

Nowadays, since variable air volume (VAV) systems are more economical than other alternative systems, the building industry has widely adopted them in the building engineering to maintain the cooling and heating demands. In this article a multivariable decoupling fractional-order PID (FOPID) (Pl~λD~μ) controller has been designed for a VAV system. We present a method for optimum tuning of practical Pl~λD~μ controllers for VAV system by using particle swarm optimization (PSO) algorithm. By comparing this technique with the other methods, both its influence and its efficiency are illustrated. Simulations and comparisons with PID controller demonstrate that the proposed PSO-PI~λD~μ controller can provide good control performance with respect to reference input.