The research on the coordinated control system of PID neural network based on artificial fish swarm algorithm

The large-scale unit power plant is a typical multiple-inputs and multiple-outputs system, which is of time-delaying, time-varying, nonlinear, strong coupling, and dynamic characteristics variation characteristics. The coordinated control system is the most important and complex system in thermal power plant, and its control effect affects the operating condition of the unit. The PID neural network is applied to the coordinated control system, which optimizes the traditional PID control system, but there are some problems when selecting the initial weights. The article uses the coordinated control system of PID neural network based on artificial fish swarm algorithm, and by simulation, the system improve the control effect and meet the control requirements.