Intelligent Control Of The Brushless Excitation System Of The Synchromotor

Intelligent control is the latest development period of automatic control, which aims at resolving the control problems of complex system that can not be resolved by traditional methods. Neural network and fuzzy control, as the important branches of intelligent control, can be used widely in many fields.Brushless motor is one of the important development directions of big motor. The brushless excitation system is the most pivotal and the most promising composing part of the synchromotor, which is the core of the synchromotor. The principle and particularities, classifies and control methods, and their respective advantages and disadvantages of the brushless excitation system have been introduced in detail in the paper. The intelligent control of the brushless system of the synchromotor based on S7-300 and PROFIBUS-DP technology, using advanced SIEMENS 6RA70 rectifier has been analyzed significantly.Algorithms of fuzzy control and neural network have been introduced to the power factor control system of the synchromotor, so as to form the fuzzy-neural controller to force control during its starting stage in the intelligent control of the brushless excitation system of the synchromotor. When the speed reaches its rated value of the motor, the PID controller will activate to force zero error control to bring the given current value to SIEMENS 6RA70 rectifier, which will control the excitation current of the generator. The combination of fuzzy control and neural network takes full advantage of the specialty which offsets each other to improve the dynamic and robust performance of the system further. The traditional PID control assures no error control in stable. The control methods mentioned above have been simulated by MATLAB/Simulink, the validity and correctness can be explained by simulated result.