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Industrial applications often require two or more variable-speed electric drives, which have to be controlled independently. Over the past decade research efforts have been made to reduce the number of power electronic devices required in multi-motor drive systems in order to reduce the complexity and hence cost of the drive. One such drive system comprises n three-phase motors supplied by a (2n+1)-leg...
The paper presents a model of a poly-phase permanent magnet motor of the marine propulsion drive energized by multistage VSI. The model defines more precisely the non-sinusoidal waveform of back-EMF and its impact on the current distortion and electromagnetic torque ripples. The paper concludes by analyzing simulation results that have shown significant suppression of high order current harmonics...
A new H-bridge cascaded multilevel inverter which can do regenerative action for motor drive is proposed. The proposed system adds a regenerative unit to the usual non-regenerative cascaded inverter, and the zero-sequence voltage is controlled to keep the regenerated power constant. In this case about 20% of capacitance of the rated motor power is enough for the proposed unit to decelerate motor as...
This paper presents a new kind of direct torque control (DTC) system based on the inverter with double-frequency for the motor drives of electric vehicles (EVs). According to the theory of the converter with double-frequency, the topology of a new kind of inverter with double-frequency is derived, and the operation states of the new circuit are analyzed. This kind of inverter has good dynamic and...
Direct torque control (DTC) can directly control the inverter states in order to reduce the torque error within the prefixed band limit DTC of brushless dc drive with trapezoidal back-EMF is presented in this paper. Using the rotor flux vector position in alpha - beta axis stationary reference frame and torque error, the proper switching pattern can be selected to control the generated torque and...
Principle of a new adaptive neuro-fuzzy inference system (ANFIS) with supervisory learning algorithm is introduced and is used to regulate the speed of a four-switch, three-phase inverter (FSTPI) brushless DC (BLDC) drive. The proposed algorithm has advantages of neural and fuzzy networks. To enhance of drive's performance, instead of well-known back propagation learning method, a fuzzy based supervisory...
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