Switch reluctance machine (SRM) torque pulse control method and system of torque-current neutral network model
A neural network model and neural network technology, applied in the field of electric vehicle motor control, can solve the problem of non-linear torque ripple of switched reluctance motor, inability to accurately obtain constant torque, and difficulty in accurately describing torque and current non-linearity. Linear relations etc.
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[0052] Embodiment of Torque Ripple Control Method of Torque-Current Neural Network Model SRM
[0053] This torque-current neural network model SRM torque ripple control method embodiment, as figure 1 As shown, the main steps are as follows:
[0054] Ⅰ. Establish torque-current conversion relationship
[0055] Take the torque expression of SRM as
[0056]
[0057] In formula (1), m is the number of SRM phases, m=3, kk=1,2,3; T is the total torque of three phases, T kk is the kkth phase torque, i kk is the kkth phase current, L kk (θ) is the inductance of the kkth phase winding, and θ is the rotor position angle.
[0058] According to formula (1), the torque of the SRM is related to the phase current and the inductance derivative. Under the limit of the positive torque drive of the motor, the conduction is conducted in the interval where the inductance derivative is positive. The torque-current conversion relationship is:
[0059]
[0060] Ⅱ. Total reference torque ...
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