Speed identification about enhanced magnetism motor with MRAS

Speed identification is important to apply the enhanced magnetism motor system on the situation that need speed signal but without speed sensor. Taking system dynamic mathematics model as the investigated subject, set up the speed identification adaptive system of the enhanced magnetism motor system on the basic of Model Reference Adaptive System and POPOVpsilas hyperstability theory. Derive the equivalence nonlinear feedback system of the speed identification adaptive system. Prove its stability and dynamic follow character. There is no pure integration, moment of inertia and system load in the speed estimation system. Taking system mechanic model as the verified subject, studied the speed estimation algorithms performance when the system works in drive, regenerative braking operation mode and disturbance happens to the motor system. Bench test verified the speed estimator when the system in acceleration. The results show that the identification speed can follow the real speed quickly in above all operation modes and the estimation error is small. The results of dynamic performance study are the basic of optimization of its control performance.