Research of wheat dampening MPC system based on RBF neural network algorithm

For the nonlinear time delay features that exists in the wheat watering system of flour production industrial processes control, according to the RBF Neural Network (RBFNN) that has approaching any complicated nonlinear function relations and strong pattern recognition ability traits, the paper presents a dampening of wheat DMC system on the basic of RBFNN. The nonlinear model that has been identified by RBFNN is as the predictive model in the paper. Finally, the simulation results show that this method has good dynamic characteristics and robustness, it can take effective control of wheat dampener.