Air conditioning system optimization based on improved internal model decoupling control
Liang Xinmeng, Zhang Jiugen, Xie Jinxin and Chen Zhe
The internal model decoupling control method has better anti-interference ability and better control effect on time lag problem, but its multi-variable internal model decoupling controller has complex internal structure and large computational complexity. Presents using the genetic algorithm to optimize the parameters of the internal model controller. Designs a decoupling controller of the variable air volume air conditioning system, determines the optimization parameters of the objective function, and designs the steps of optimization, finally performs the simulation by MATLAB. The simulation results show that the system has small overshoot and strong anti-interference ability, which can achieve stable control even if the model does not match.