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As a novel electrical variable transmission (EVT) in hybrid electric vehicles (HEV), the dual mechanical port electric machine (DMPM) has been being researched and developed recently. In this paper, a control and drive system for permanent magnetic DMPM (PM-DMPM), consisting of the inverter unit and the control unit, is designed and developed. The inverter unit adopts a back-to-back inverter topology...
This paper presents a novel control scheme for a two-phase synchronous reluctance motor (TPSynRM) . A three-leg two-phase inverter is used to drive the TPSynRM. The torque of the TPSynRM is controlled with a direct torque control (DTC) method. DTC uses the space vectors of the three-leg inverter. The speed controller has a two-degree of freedom (TDOF) structure. A pole-zero cancellation (PZC) method...
The motor is the workhorse of industry. The control and identification of induction motor with artificial intelligence is the key point for high performance electrical drives. A novel architecture of nonlinear autoregressive moving average (NARMA) model based on wavelet neural networks (WNN) is presented for enhancing the performance of induction motor. The Akaikepsilas final predication error (AFPE)...
In high power medium voltage drives, the switching frequency of power semiconductor devices is restricted because of high switching losses. Such drives often include an LC output filter, introducing a resonant circuit that may be excited for instance by fast control transients. One way to avoid such oscillations is using damping control schemes, which in turn usually require switching frequencies...
Generally, PWM voltage source inverter (VSI) has been used for the variable speed permanent magnet synchronous motor (PMSM) drives. However, the PWM-VSI fed PMSMs has two disadvantages. Firstly, PMSMs cannot operate at the speed at which the motor terminal voltage exceeds voltage constraint imposed by the DC-link voltage. Secondly, the distortion of the voltage commands increase at the low speed,...
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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