| Bearingless switched reluctance motor(BLSRM)is in the switched reluctance motor(SRM)on the basis of introducing the bearingless technology.It not only inherits the advantages of switched reluctance motor such as simple and solid structure,simple manufacturing process,low cost,good operating performance characteristics under adverse conditions,but also inherits the advantages of bearingless technology,such as no contact,no wear,no need of sealing and lubrication,etc.As there is only one stator pole on the stator of BLSRM with traditional structure,the coupling degree of torque and suspension force is greater.The 12/14 pole hybrid stator pole type bearingless switched reluctance motor is different from the traditional structure.By reasonably designing the stator pole arc,this structure effectively solves the coupling problem of torque and suspension force which is common in BLSRM research.By studying the traditional control strategy of 12/14 pole BLSRM,it is found that the controller parameters are fixed and it is difficult to have ideal control performance.In this paper,the 12/14 pole hybrid stator pole bearingless switched reluctance motor is studied to improve the torque and suspension force control of the motor under different speeds,torque loads and radial loads.In this paper,the basic structure,working principle,torque and suspension force characteristics of 12/14 pole BLSRM are summarized firstly.The mathematical model of the motor is derived by using the method of split magnetic circuit and equivalent magnetic circuit.Finite element software simulation is used to verify the correctness of the model and prepare for the subsequent motor control.Then,aiming at the disadvantage that the control parameters of the traditional PID controller are fixed and cannot change with the control system in real time,this paper proposes an adaptive variable parameter PID controller combining the improved longicorn-beetles search algorithm and PID controller with 12/14 pole BLSRM.The algorithm has several advantages,such as fewer parameters,easy implementation and fast optimization speed,etc.However,due to the problem that the algorithm is easy to fall into local optimum in multi-dimensional space,the Metropolis criterion of simulated annealing algorithm is introduced to combine with the algorithm,and the effectiveness of the improved algorithm is verified by the benchmark test function simulation on Matlab.The control block diagram is established according to the new control strategy.Finally,the simulation model of the motor is established in Matlab/Simulink to simulate the dynamic performance of the motor.The simulation results of the two control strategies were compared and analyzed under different rotor speeds,torque loads and radial force loads to verify that the new control strategy has better response ability and anti-interference ability under different speeds,torque loads and radial force loads,verifies the effectiveness of the new control strategy. |