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In this work the application of additional switching states for the asymmetric converter is studied for its use in direct torque control. The proposed algorithm makes use of previously discarded states, that can increase the operational range of asymmetric converters by increasing the total number of switching states available for control. The proposed algorithm was simulated while controlling an...
This work presents the PLATAFORMA system impact over the teaching and research activities of the lecturers and the post graduate students at Master and Doctorate levels working in the Power Electronics Industrial Systems group (Grupo de Sistemas Industriales de Electronica de Potencia, SIEP) of the Universidad Simon Bolivar. PLATAFORMA is an integrated test system intended for experiments requiring...
This work presents a control scheme for the switched reluctance machine (SRM). The proposed control scheme combines the principles of direct torque control (DTC), space vector modulation (SVM) and variable structure fuzzy control to provide a high performance, robust and simple driver. Simulations of the proposed controller show that the current, flux and torque ripple are considerable reduced during...
In this work a fuzzy inference system is employed for the control of a PWM based direct torque control (DTC), driving an induction machine, to reduce ripple torque while limiting the current during start-up or when the stator flux magnitude changes. The proposed control scheme uses a fuzzy inference system to modulate the stator voltage vector applied to the induction motor, in magnitude and phase...
In this paper a PWM-fuzzy direct torque controller for induction machines is proposed, with a current limiting function during start-up or for changes in the flux-linkage reference. The use of PWM in the controller provides a constant switching frequency, and provides additional degrees of freedom to regulate the stator current, stator flux-linkage build-up and torque production. Also, these additional...
This paper presents a low cost, high efficiency, power electronics training platform of modular architecture for educational purposes, based on the PIC family of microcontrollers. It can operate both as a stand-alone system or connected to a standard PC. It is design to be programmed with microchip freeware MPLAB. The platform supports laboratory work in the study of the power stages and the study...
A neural network induction machine model, including its dynamic behavior, has been developed. The model is intended to be used in vector control drives and 15 linearly dependent on the machine parameters For this reason, the model parameters can be adapted in real time without retraining.
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