Unlike traditional hybrid excitation motor

DC-Biased hybrid excitation motor integrates field winding and armature winding into one set of winding to generate DC current and AC current at the same time. Thus

the additional field winding can be eliminated

which gives rise to enhanced torque density and flux adjustment capability. To efficiently utilize current and hybrid excitation function

a maximum torque per ampere (MTPA) control strategy based on actual signal injection for the DC-Biased hybrid excitation motor is presented in this paper. Firstly

the mathematical model of the motor in the rotating coordinate system is established. Then

according to the MTPA control principle

the currents of dq0 axis and the MTPA criterion are obtained. Also

the relationship between mechanical power with actual signal and MTPA criterion is deduced. A signal demodulation module is designed to obtain the optimal current vector angle to realize MTPA control. Through this control strategy

the effect of inaccurate motor parameters on the optimal current vector angle can be avoided and control accuracy of the MTPA can be improved. Experimental results show that with the proposed control strategy

the root-mean-square current of the motor can be reduced by 7.0% and 3.5% at 6 N⋅m and 10 N⋅m torque loads

which verify the effectiveness of the proposed control strategy.