Research On Active Disturbance Rejection Control And Parameters Tuning Of A Bearingless Induction Motor

A bearingless induction motor(BIM),combining the functions and advantages of magnetic bearings and induction motors,can achieve “self-suspension” operation in special environments such as high speed,cleanliness,corrosion and vacuum.The BIM has the advantages of simple structure,no lubrication,no friction and wear,uniform air gap,long service life and so on.It has a wide range of applications in rail transit,aerospace,high-speed hard disks,life sciences,flywheel energy storage and other fields.Therefore,the operational principle of BIM,the establishment of mathematical model,the design,improvement and parameter tuning of active disturbance rejection controllers and the realization of digital control system are studied in this dissertation.The main work and success are as follows:(1)The research background,the current research status at home and abroad,the future development trend and the application fields of BIM are introduced.At the same time,the basic situation of active disturbance rejection control(ADRC)technology is clarified.The generation mechanism of BIM radial force is discussed in detail,the BIM mathematical model is deduced,and the air-gap magnetic field directional control system is set up,which lays the foundation for further proposing active disturbance rejection control of the BIM.(2)To overcome the lack of anti-disturbance performance of the BIM under traditional vector control,an ADRC strategy based on hyperbolic tangent tracking differentiator is proposed.First-order speed ADRC and second-order suspension ADRC are designed for the two sets of torque and suspension windings.At the same time,the hyperbolic tangent function is introduced as the acceleration function of the tracking differentiator to simplify its structure,and the ADRC parameters are determined through the sweep-frequency test.Simulation results show that this strategy improves the anti-disturbance performance and suspension characteristics of the BIM.(3)To overcome the limitations that ADRC system of the BIM has difficulty in tuning parameters depending on experience to select parameters,an ADRC strategy based on Improved Particle Swarm Optimization-Genetic Algorithm(IPSO-GA)is proposed.The parameters of the basic particle swarm optimization algorithm are optimized by considering the characteristics of the basic particle swarm algorithm parameters,and the crossover and mutation operations are introduced to enhance global search capability.Meanwhile,through the performance test based on the test function,the performance of IPSO-GA is verified.Simulation results show that this algorithm improves the rotation and suspension accuracy of BIM.(4)A BIM digital control system with TMS320F2812 DSP as the core chip is designed,and the feasibility of BIM is experimentally verified.The experimental results show that the designed control system can realize the stable suspension and rotation of BIM at the same time.