The simulation of neural network decoupling control of the unit coordinated control system

Neural network control is a new intelligent control method. Large thermal power unit coordinated control system is a relatively complex multi-variable control system, the control object has a large time delay, time-varying, nonlinear and strong coupling features, the traditional PID control algorithm is difficult to achieve good process parameters tracking and ideal control effect for the process parameters. For the characteristics of the unit coordinated control system use the neural network decoupling control in the unit coordinated control system, the simulation results show that neural network decoupling control has strong adaptability and high control precision and improve the load response rate, the control effect is better than the conventional PID control algorithms.