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A new DC-DC converter PWM (Pulse Width Modulation) algorithm is presented in this paper. In contrast to the conventional voltage-error-based PWM PI (Proportional-Integral) controller, inductor current controller is implemented as the derivative action of PID control to stabilize the dynamic behavior of the system. Back-Propagation neural network (BPNN) is applied to optimize the Pseudo PID parameters...
A control strategy based on single current sensor is proposed for a four-switch three-phase brushless DC (BLDC) motor system to lower cost and improve performance. The system's whole working process is divided into two groups. In modes 2, 3, 5, and 6, where phase c works, phase-c current is sensed to control phases a and b, and phase-c current is consequently regulated. In modes 1 and 4, the combination...
The brushless DC motor has such advantages as simple structure, convenient to control, high reliability, and has been applied in many industrial fields. In order to simplify the converter topology and lower the system cost, four-switch three-phase BLDCM recently becomes research highlight of scholars. Conventional hysteresis controllers suffer from big phase current ripple and inaccuracy current threshold...
The brushless DC motor (BLDCM) is a multi-variable and non-linear system, so it is difficult to get a satisfying result for BLDCM using the conventional linear control method. This paper presents an approach of single neuron PID adaptive control for BLDCM based on wavelet neural network on-line identification. The method uses single neuron PID to construct the adaptive controller of BLDCM. In addition,...
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