• Proceedings of the KIPE Conference
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• 2005.07a
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• pp.254-256
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• 2005

This paper describes a design of a vector control module for AC motor using high density FPGA. In the proposed vector controller, the vector control blocks including inverse dq transform, space vector PWM and quadrature encoder pulse module are implemented in a FPGA using a VHDL. The simulation results are provided to show the validity of the proposed vector control module.

• Proceedings of the KIEE Conference
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• 1993.07b
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• pp.764-766
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• 1993

A new static var compensator(SVC) system using three-level inverter is proposed for high voltage and high power applications. A general and simple model for the overall system is obtained using circuit DQ-transform and DC and AC analyses are achieved to characterize the open-loop system. Using the proposed model, a new control method which controls both the phase angle and modulation index of switching pattern simultaneously is suggested to provide fast response of SVC system without using independent voltage source. Finally, predicted results are verified by computer simulation.

• Transactions on Electrical and Electronic Materials
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• v.15 no.6
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• pp.297-304
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• 2014

Due to the nonlinearity and complexity of the three-phase photovoltaic inverter, we propose an intelligent control based on fuzzy logic and the classical proportional-integral-derivative. The feedback linearization method is applied to cancel the nonlinearities, and transform the dynamic system into a simple and linear subsystem. The system is transformed from abc frame to dq0 synchronous frame, to simplify the state feedback linearization law, and make the close-loop dynamics in the equivalent linear model. The controls improve the dynamic response, efficiency and stability of the three-phase photovoltaic grid system, under variable temperature, solar intensity, and load. The intelligent control of the nonlinear characteristic of the photovoltaic automatically varies the coefficients $K_p$, $K_i$, and $K_d$ under variable temperature and irradiation, and eliminates the oscillation. The simulation results show the advantages of the proposed intelligent control in terms of the correctness, stability, and maintenance of its response, which from many aspects is better than that of the PID controller.