Research On Angle Optimal Control Strategy Of Axial Staggered High Speed Switched Reluctance Motor

The stator and rotor of the Switched Reluctance Motor(SRM)are all salient pole structures.Concentrated windings are wound on the stator,but there are no windings or permanent magnets on the rotor.The stator and rotor are all made of silicon steel sheet,which can withstand large mechanical centrifugal force,so it is especially suitable for application in high-speed and ultra-high-speed fields.In this thesis,the high-speed SRM has two sets of stator and rotor salient pole structures,and the problem of large torque ripples in traditional high-speed SRM is improved due to its special staggered structure,but the magnetic circuit analysis of the motor is more complicated,and the non-linearity is serious.The performance of high-speed SRM is severely hindered by wind milling loss when the motor rotates at high speed.In this thesis,in order to optimize the performance of the motor,different angle control strategies are explored through reasonable adjustments to the high-speed SRM turn-on and turn-off angles.Firstly,the structure and working principle of the high-speed SRM are introduced,and the electromagnetic field of the 6/4 pole high-speed SRM is analyzed by the finite element simulation software,and the mathematical model of the high-speed SRM is established.The control method of the high-speed SRM under the low-speed and high-speed operation is emphasized,and the control strategy of the variable-angle current chopping is determined.Secondly,the online optimization,fuzzy control and neural network angle optimization algorithms are introduced in detail.The multi-field co-simulation method of Maxwell,Simplorer and Simulink is used to model the nonlinear system of high-speed SRM,and torque-current ratio is used as the angle optimization performance index to comprehensively compare the optimization effects of different control algorithms.Finally,the turn-off angle of high-speed SRM is optimized by using neural network algorithm,in which motor speed is regarded as the magic network input,and the optimal turn-off angle is regarded as the output.By comparing the changes of current,torque,speed,torque-current ratio and turn-on and turn-off angles under fixed angle and neural network angle optimization,the effectiveness and rationality of angle optimization based on neural network are proved.Finally,this 6/4-pole high-speed SRM experimental platform with a special structure was built.The hardware and software design are analyzed and researched in detail.The hardware part includes TMS320F28335 control chip,power inverter circuit,analog current sampling circuit and position detection circuit.The software part includes main program,initialization program and various subprograms.The advantages of the neural network algorithm in optimizing the turn-off angle of high-speed SRM are verified by relevant experiments,and the goal of angle optimization is realized.