Research On Bearingless Induction Motors And Design Of Optimization Control System

Based on the common induction motor, the bearingless induction motor is embedded a set of suspension winding to realiaze the bearingless operation. Due to the bearingless induction motor without friction and wear, and has high mechanical strength and widely used for the high speed performance requirements. So, it has widely application in the high speed and precision numerical control machine tools, aeropace and flywheel energy storage. Also, it is the earliest and most types of bearingless motor for research on domestic and overseas.The control systems of speed and rotor radial position in the BIM are usually controlled by PID controller. When the BIM is running in high speed and ultra-high speed operation, the PID controller will produce high overshoot, concussion and external sensitive to the disturbance. These phenomenons will affect the high operation performance of the motor. Therefore, the optimization design for the PID controller of the BIM has important practical significance and realistic meaning. Project supported by National Natural Science Foundation of China(61104016, 51475214), focus on the optimization design for the PID controller of the BIM in the speed and position control system. The concrete contents can be written as follows:Firstly, the current situation, development trend and application field of the BIM has carried on the brief overview. Then the research background and development status of the classical PID controller has been introduced. The research background of two kinds of PID controller optimization design: fuzzy adaptive PID controller and ADRC have been proposed. Based on the analysis of equations of the suspension force, torque and motion, the mathematical model of BIM has been built based on the air-gap magnetic field orientation control strategy. The simulation results have been analyzed.Secondly, this paper in order to prevent the overshoot of motor speed and rotor radial position which caused by the classical PID controller, and reduce the system disturbance when the motor parameters have been changed and load has been added. This paper put forward two kinds of the optimization strategy for PID controller. One is added the method of fuzzy adaptive module to the classical PID controller, which optimizes parameters of PID controller by on line intelligent adaptiv; another is to use the ADRC to replace the classical PID controller. This method can overcome the limitation of the PID controller. On the basis of these, in order to improve the anti-interference ability of the system, the ADRC has been further optimized to improve the anti-interference ability of the system.Finally, in this paper, an experimental platform system of the BIM has been constructed, which the rotor speed and rotor radial position control systems are based on ADRC and the experimental study has been carried out. Through the analysis of the experimental waveforms, the digital control system can effectively reduce the high overshoot in rotor speed and radial position control systems, and has good dynamic and static performances.