RBF Neural Network Used on Universal Intelligent Monitoring System in Heavy Machinery

2014 
In the intelligent monitoring system of heavy machinery, the key technology is control algorithm because it is difficult to formulate exact mathematical model to the nonlinear and time-varying characteristic in heavy machinery. The monitoring system is firstly designed and developed for the universal system in heavy machinery. And then, RBF Neural Network is applied in the control strategy by OD2131 MCU(micro controller unit). The simulated curve is displayed by Matlab. Their dada communication between OD2131 MCU and Matlab is in CANopen protocol. Finally, the simulation is made for an electric motor. The simulation results show that adding artificial neural network compensation can enhance the accuracy in the intelligent control system.
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