Research On The Control Of Single Winding Bearingless Switched Reluctance Motor For Flywheel Battery

The energy and environmental problems faced by mankind are becoming more and more serious.The world's attention to clean new energy power generation,distributed power supply,microgrid and electric vehicle have been elevated to unprecedented heights.The energy storage technology closely related has become One of the important research topics both at home and abroad.Flywheel battery as a typical mechanical energy storage device with its energy storage density,clean and pollutionfree,long life,high efficiency to attract a large number of scientific to explore and research on it,in the power system,electric vehicles,aerospace and other fields Also has a broad application prospects.(BSRM / G)set of switched reluctance motor and magnetic levitation technology advantages in one,in the High-speed,low-loss flywheel battery field has important research significance and application value with its advantages of simple structure,high flexibility,no mechanical wear,no friction loss,high critical speed and other superior performance.Under the support of the National Natural Science Foundation of China(51377074),this paper takes the three-phase 12/8 pole rotor single-winding bearingless switched reluctance motor / generator(SWBSRM / G)as the object of study,around the motor suspension / electric decoupling control,Suspension / power generation,hardware circuit design research,the main research content is as follows:(1)The structure of single-winding magneto-switched switched reluctance motor and the working mechanism of suspension / electric / floating / power generation mode are described.The inductance matrix based on equivalent magnetic circuit method and virtual displacement method is given.The radial levitation force / Torque mathematical model of the derivation process,and through the finite element simulation was verified.(2)Aiming at the complex characteristics of SWBSRM multivariable,strongly coupled and nonlinear,the optimization of kernel parameters of least squares support vector machine(LSSVM)is realized by introducing particle swarm optimization algorithm,and then the inverse identification model of motor is established.The simulation results show that the control strategy has good decoupling effect and dynamic response characteristic.The simulation results show that the proposed method has good decoupling effect and dynamic response.(3)In order to reduce the copper consumption of the SWBSRG suspension power generation,the problem of radial suspension force interference caused by the unbalanced excitation of the suspension control is solved.A low copper consumption power generation control strategy is proposed,Suspension,excitation,power generation interval and time length formula to control the phase current and other current power generation,weaken the power generation area of the radial interference force,and closed loop control excitation current to feedback control output voltage.The simulator and the Maxwell joint simulation model are set up,and the simulation is given.(4)For SWBSRM / G hardware circuit signal acquisition volume,high precision,highspeed computing,logic processing capacity of the characteristics of the choice of DSP + FPGA joint control mode.To simplify the control system,saving hardware costs,the choice of electric / power integrated main power conversion circuit.According to the system working environment,the design of the signal sampling,drive circuit and other modules,lay the foundation for the experimental work.