DSP-based currenttorque control system with rault prognostic algorithm for brushless DC motor drive system

Abstract EN

Three-Phase Brushless DC Motor (BLDCM) fault prognostic has been widely researched.

An algorithm for motor current / torque control with automated fault detection / monitoring still needed.

This paper presents a new embedded control and fault prediction / diagnostic algorithm for the BLDCM.

The new algorithm is implemented using the Analog Devices Blackfin™ ADSP-BF561 dual core Digital Signal Processor (DSP).

Core 1 dedicated to implement the current / torque control algorithm while core 2 mainly implements the fault prediction / diagnostic algorithm.

The diagnostic algorithm can shutdown the drive system on an imminent catastrophic fault.

The algorithm employs various techniques to detect and predict different faults of the BLDCM drive system.

In this paper, the Inverter fault prediction and diagnosis are covered.

The DSP communicates the system electrical and mechanical parameters to the PC via the USB connection to monitor and display the electrical parameters of the inverter and the motor.

It also allows updating of the DSP controller parameters for current / torque adjustments.