MRAS-based displacement sensorless control for bearingless switched reluctance motor
Traditional mechanical displacement sensors are often expensive and highly sensitive to environ-mental factors.To address these issues,a novel displacement sensorless control strategy for Bearingless Switched Reluctance Motors(BSRM)is proposed by applying the Model Reference Adaptive System(MRAS)to the observation of radial displacement.First,the mathematical model of the bearingless switched reluctance motor with shared suspension windings is presented,and reference and adjustable mod-els are established using winding currents as state variables.Second,a proportional-integral adaptive law is chosen to construct the displacement sensorless control system,and the stability of the system is verified using Popov's hyperstability theory.Finally,simulation and experimental studies are conducted under a wide speed range with external disturbances.The results demonstrate that the system is capable of real-time tracking and accurate estimation of the rotor's radial displacement under varying speeds and external disturbances.The displacement signal obtained from the displacement sensorless observation scheme is fed back into the motor's suspension control system,maintaining the radial displacement within the range of-0.08 mm to 0.08 mm at three typical speeds of 500,1 000,1 500 rpm and under external disturbances.This system successfully achieves stable suspension of the motor without displacement sensor.
BSRMshared suspension windingsMRASdisplacement sensorless control
万方数据
维普
