Research Of Energy-saving Control Based On FPGA For Asynchronous Motors

Asynchronous motor drive system is essential for industrial production, its large power consumption wastes a lot of power when the majority of our system is non-economic operations. Current induction motor energy-saving control is based mainly on vector control, the dynamic decoupling and tracking performance degradation have a greater impact on the energy saving effect. Therefore, it is great theoretical and practical significance to study induction motor energy saving control.This dissertation studies the algorithm of energy-saving control of asynchronous motor and its application on FPGA chip. Explain the asynchronous motor energy saving control and related problems of the development situation. After analyzing three-phase mathematical model of asynchronous motor that has increased iron loss winding and its mathematical model while in two-phase and revolving coordinates, state equation include magnetic flux, voltage, rotating speed, torque of asynchronous motor are constructed, and simulation model of asynchronous motor, including iron loss is constructed through Simulink module. The program of energy-saving control based on neural network inverse decoupling according to the theory of neural network inverse controlling is produced. First, the optimal excitation formula of induction motors is derived based on Loss model. Briefly introduces the neural network inverse decoupling theory, find the point by analyzing a combination of two methods: the loss model-based optimal excitation output can be used as flux input of neural network inverse decoupling control. As a starting point, make a combination of the neural network inverse decoupling control and energy saving control strategies based on loss model, through characteristics of the neural network inverse decoupling control can dynamic decoupling speed and flux. the simulation model is done, aiming to solve the problems that decreasing decoupling quality and effect of efficiency optimization based on the method of vector control during dynamic procedure.Based on the program of energy-saving control and according to structure and quality of FPGA chip, energy-saving control of asynchronous motor based on FPGA is brought into used in this dissertation. The project takes Xilinx-FPGA as main control chip, intelligent power module IPM as main control-loop, makes closed loop control system by using detection circuitry for current and rotating speed , as well as other hardware circuit such as 3.3V power,current detection,speed detection. In line with the FPGA, the whole energy-saving control system is divided into a series of sub-module. The structure of important module such as speed detection,current detection,coordinate transformation,energy-saving control,neural network inverse decoupling controller,SVPWM as well as their realization are brought into further research. New thought is brought out in the process of formulizing algorithm in module.Simulation experiment proves the satisfactory of the project. The imperfect in this methodology needs further improvement and study.