Research On Key Technoologies Of Control & Fault Diagnosis System For Resonant Cement Road Breaking Vehicle

The rapid development of road construction of which a considerable amount is cement concrete roads have been realized in our country recent years,the re-using problem of wasted cement concrete should be studied urgently with more and more cement concrete roads need to be built and repaired. The research of Resonant Cement-Road Breaking Vehicle (RCRBV) will make great economic and social benefits.To the development requirements for RCRBV,some key technologies has been studied with respect to its resonant breaking frequency control, the running speed control and fault diagnosis for resonant axis to meet the application requirements for the kind of new road construction vehicle, the main work is as follows:Based on the classic control model, some non-linear factors and uncertainties items has been analyzed Comprehensively which affect the control performance, its dynamic mathematical model of electro-hydraulic proportional pump controlled motor speed control system built for the vehicles.To acquire the breaking effect on the resonant parameters of the control requirements, the main parameters affect the frequency control performance will be identified by DRFNN, adaptive backstepping control algorithm based on DRFNN is designed and simulated in the MATLAB environment to ensure the stability and control performance, and the test result on the vehicle control system shows that the control strategy is feasibility.An adaptive backstepping sliding mode control algorithm is proposed for running speed control of running parts. the requirements of speed control is variary in different conditions, adaptive backstepping sliding mode control algorithm is designed firstly and the stability of the system analysis in running conditions, the adaptive backstepping sliding mode control algorithm based on RBF has been studied to meet the high-precision control requirements of the running speed in breaking conditions. Concerning with the characteristics of the complicated mechanical structure and strong nonlinear vibration signals for the vibration axis, a nonlinear PCA was proposed as feature extraction method, simplified methods of training DHMM was studied to reduce the floating-point multiplication computation for some parameters which approximation to 0, to meet the requirements of their diagnosis.The control system has been developed based on two-CAN field bus on vehicle.The architecture are designed by EPEC controller and CANopen/CAN2.0 technology, and completed its hardware and programmer design, install and test completed on the prototype of RCRBV, related software copyright has been applied of control software.