Overload Flat Panel Truck Motor-driven Neuron Adaptive Pid Vector Control

Large-scale equipments such as large-tonnage mining dump trucks, heavy plate vehicles, electric drive tanks and armored vehicles are playing increasingly important roles in the country's economic and military fields.The stability and synchronization of vehicle transmission systems directly affect the safety of the transport process.In the meantime, energy crisis exists.Thus, electric driving systems having better performance and meeting energy saving have gradually become a research hotspot. In view of practical heavy plate hydraulic lift truck driving systems, a vector control induction motor electric driving system model is established and a single neuron adaptive PID coupled with the bias control method and vector control is proposed for multi-motor synchronous control.The main contents of the thesis are as follows:1) The basic principles of electric driving systems for heavy plate trucks are analyzed. The mathematical model of AC motors is established. Vector control system model of induction motors is built by using Matlab/simulink and rotor magnetic field oriented vector control algorithm is studied..2) In view of three-phase induction motor vector control, a Single Neuron Adaptive PID Control System is designed for the speed control loop.The stability of Single Neuron Adaptive PID Control System is studied. The vector control system combining with single neuron adaptive PID is simulated and studied.3)In view of multi-motor driving in heavy plate trucks, synchrounous control strategy is proposed based on multi-motor synchronization control and vector control.The stability of the synchronization control system is analysed and studied based on the Lyapunov direct method.4) Control performance of traditional PID and the single neuron adaptive PID of inductive motor with vector control is compared by experiments based on a VWF experimental system.Research results show that single neuron adaptive PID combining with relative coupling control strategy including multi-motor synchronous vector control can achieve the accuracy and reliability of the synchronous control system.