Parameter identification–based virtual direct current injection maximum torque per ampere control for interior permanent magnet synchronous motor

The maximum torque per ampere control system of an interior permanent magnet synchronous motor is highly sensitive to parameter changes. Parameter variations can cause the motor to deviate from its point of minimum loss, resulting in increased current amplitude, reduced efficiency, and compromised torque output accuracy. To reduce the dependence of maximum torque per ampere control on parameters, this paper proposes an maximum torque per ampere control method based on virtual direct current signal injection. First, to enhance the parameter robustness of the control system, a model reference adaptive system with a fuzzy logic controller is used for parameter identification. Its adaptive law is designed by adopting a fuzzy proportional–integral controller to improve the identification accuracy and dynamic response when operating conditions change abruptly. Meanwhile, incorporating a feedback gain term into the adjustable model enhances its adaptability to a wider range of control systems and improves the stability of the identification system. Second, the integration of the identification results into the virtual direct current injection maximum torque per ampere control significantly enhances the parameter robustness of the control system, reduces speed fluctuations and torque ripples, optimizes the allocation of d–q axis currents, and improves the efficiency of the system. Finally, the proposed method is validated through comparative experiments.