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This paper proposes the predictive controller design for a sensorless interior permanent magnet synchronous motor drive system. The predictive controllers include a current-loop predictive controller and a speed-loop predictive controller. By using the proposed control algorithms, the closed-loop sensorless interior permanent magnet synchronous motor drive system can achieve fast transient responses,...
This paper presents a new approach to control the turn-off angle θoff used to excite the Switched Reluctance Motor (SRM) used in electric vehicles (EV). The controller selects the turn-off angle which will improve the performance of the electric drive system with turn-on angle constant. This control scheme consisting of classical current controller and speed controller depend on lookup table to choose...
Induction Motor (IM) speed control is an area of research that has been in prominence for some time now. In this paper, a nonlinear controller is presented for IM drives. The nonlinear controller is designed based on input-output feedback linearization control technique, combined with sliding mode control (SMC) to obtain a robust, fast and precise control of IM speed. The input-output feedback linearization...
To solve the strong randomicity and slow convergence of the Particle Swarm Optimization (PSO) algorithms, two new particlepsilas position renewal formulas were analyzed on the basis of extrapolation in mathematics. A new modified PSO algorithm (called Leading PSO algorithms) was put forward. The direct torque control (DTC) system was built in the environment of Matlab (Simulink). The weight and threshold...
Based on the nonlinearity in direct torque control (DTC) system, a modified PSO (particle swarm optimization) algorithm is proposed to optimize BP (back-propagation) neural network and structure the rotational speed identifier. Combined a linear digression method of inertia weight with a particle turning laws, this algorithm can accelerate the convergence speed of BP neural network and realize global...
In the last decades, several schemes have been proposed for speed-sensorless control of induction motor (IM) drives. Promising approaches are closed-loop observers, as Model reference adaptive systems (MRAS) and Kalman filters. Recently, open-loop estimators have aroused lively interest because of their simplicity and low-cost profile. As known, open-loop algorithms use only motor equations to derive...
This paper presents an improved stator flux orientated (SFO) control strategy of induction motors. Based on coordinate transformation and stator flux orientation, a mathematical model of induction motor is derived. In this new system, the stator flux linkage is directly controlled by the d-axis component of stator voltage and in the speed control channel, the output of current controller is regarded...
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