Torque-current neural network model srm torque ripple control method and system

Abstract

The invention relates to a switch reluctance machine (SRM) torque pulse control method and system of a torque-current neutral network model. According to the method, a torque-current conversion relation is obtained by an inductance model of an SRM, each phase control current is obtained by a current allocation function, so that torque pulse is prevented. According to a non-linear characteristic relation between the SRM torque and the current, a function of describing basic change rule of an SRM current is used as an implication layer simulation function, a torque-current neutral network modelof describing the strong non-linear characteristic of the SRM is designed, the total reference current corresponding to torque is calculated by self-learning of the torque-current neutral network model, a reference current corresponding to each phase is obtained by the current allocation function, and the SRM is controlled. A program storage device of a system microprocessor designed by the methodis provided with each program module for executing the method, each sensor signal on the SRM is connected to the microprocessor, and the SRM is connected and controlled by a power converter. By the method, effective control on torque pulse of the SRM is achieved.

Description

technical field [0001] The invention relates to the field of electric vehicle motor control, in particular to a torque-current neural network model SRM (switched reluctance motor) torque ripple control method and system. Background technique [0002] Switched Reluctance Motor (SRM for short) is the main drive motor for new energy vehicles. Because the rotor has no winding and permanent magnet materials, it has the advantages of simple structure, low cost, wide speed range, and high allowable maximum operating temperature, and its main switching device is connected in series with the phase winding to avoid the possibility of short-circuit breakdown. Due to its extremely high safety, it has become a new generation of new energy vehicle drive motor with great potential. However, the unique doubly salient pole structure and severe magnetic saturation of SRM inevitably lead to large torque ripple during operation, which limits the promotion and application of SRM in the field of...

AI Technical Summary

Problems solved by technology

[0005] The torque loop in this kind of torque distribution control is an open loop, which cannot guarantee that the instantaneous torque can track the reference torque in real time

Its torque distribution control adopts the torque-current model based on the linear inductance model to calculate the control current, and the dL kk / dθ is regarded as a constant value, without fully considering the nonlinear characteristics of SRM, it is difficult to accurately describe the nonlinear relationship between torque and current

Therefore, the existing torque distribution TSF control cannot accurately obtain the ideal control current corresponding to the constant torque, and it cannot solve the torque ripple problem caused by the nonlinearity of the switched reluctance motor (SRM).

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