Research of wheat dampening MPC system based on RBF neural network algorithm
2013 25th Chinese Control and Decision Conference, CCDC 2013(2013)
摘要
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. © 2013 IEEE.
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关键词
dmc,predictive model,rbf neural network,time delay,model predictive control,shock absorbers,vibration control,humidity,neural networks,predictive control,predictive models,process control,pattern recognition,food processing industry
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