Brushless DC Motor Fuzzy Neural Network Control Algorithms

Brushless DC motor is not only traditional motor structure is simple, easy to maintain, good dynamic and static performance characteristics, but also has a fast DC motor speed control, high speed, as well as many of the advantages of the small excitation loss, it once appeared to be applied soonand promotion. Such as CNC machine tools, metallurgy and textile, robotics, automotive, home appliances, instruments, and many other fields. The brushless DC motor is currently a hot topic.Firstly, the establishment of a mathematical model of the brushless DC motor, deduced system model premise, it is the principle of commutation detailed analysis, after further analysis of the size of a five PWM pulse modulation modes on commutation torque rippleimpact, in order to identify the most appropriate modulation to determine control of motor speed control system. Simulink v6.1simulation toolkit in MATLAB v7.0.1SimPowerSystems v4.0Simulation Module set of special tools, to establish a very close to the actual motor speed control system simulation model, simulation of the control scheme.Complex change in practical work, working conditions or various unfavorable factors become more serious, the conventional PI control algorithm is difficult to meet the requirements of the system, because it is heavily dependent on the accuracy of the controlled object linear mathematical model. In view of this situation, this paper introduces the fuzzy neural network control theory. Fuzzy control, neural network control, intelligent control theory is introduced into the field of motor control, can solve the electrical system model uncertainty and nonlinear problems. This improved control scheme, can improve the performance of brushless DC motor system. Simulation results are good and viable.In this paper, the state-of-the-art simulation software not only conventional PI control algorithm brushless DC motor speed control system validation, and also study the speed control system based on fuzzy neural network control of brushless DC motor smart, new type brushlesshas important guiding significance for practical engineering application of the DC motor.