Research On The Blushless DC Motor Control System Based On Neuron Network Controller

Brushless DC motor has the feathers such as small size, light weight, small inertia, simple controlling method so that makes it apply to many fields of today's national economy.The issue first, which studies brushless DC motor of the domestic and international development and its control methods and introduces the brushless DC motor working principle in according to its structure and operation. The establishment of a brushless DC motor of the mathematical model.Secondly, study BP network in according to the basic principles of neural network control and the design method of neural network controller, and design the neural network controller which is based on NARMA-L2 control algorithm depending on BP network. With the use of MATLAB simulation environment, establish a brushless DC motor control system which will be in charge of designed neural network controller based on the establishment of mathematical model, and research the effect of its control. And get the better results.Finally, designs brushless DC motor control system hardware circuits based on TI's DSP chip TMS320F2812 and IR's IR2133, and compose the corresponding software. Carry out the debugging of A brushless DC motor control system hardware and software, meanwhile analyse and explain problems they encounter , at last putting up with solutions.From the results of the research, usage of neural network controller for brushless DC motor control has such advantages: identify effective, reliable control system, high accuracy of control, dynamic performance, and better anti-interference ability.