نمایش همه 2 نتیجه
Design and simulation of fuzzy controller based (IPM) converter fed DC Motors
This paper proposesرایگان!
This paper proposes a DSPF2812 based 32- bit micro-controller is used to to generate PWM waveform required to switch IPM_DRIVE, by using fuzzy logic controller to control dc motor fed by ACIDC (IPM) converter. The fuzzy controller is designed in such a way that it can be implemented in a micro-controller or DSP processor based embedded system. The system designed consists of an inner ON/OFF current controller and an outer fuzzy speed controller. The fuzzy speed controller is used to change the duty cycle of the(IPM) converter and thereby, the voltage fed to the DC motor regulates its speed. The performance in respect of load variation and speed change has been reported. Simulations results are presented to demonstrate the proposed performance and then, compared with the reported results and found that the performance of fuzzy based IPM_DRIVE drive for DC motors is improved.
Reactive power control for improving voltage profiles: A comparison between two decentralized approaches
This paper is concerرایگان!
This paper is concerned with a local regulation of the voltage profiles at buses where wind power distributed generators are connected. In particular, the aim of the work is to compare two voltage control methods: the first based on a sensitivity analysis and the second on the designing of a fuzzy control system. The two methods are tested by means of simulations on a real distribution system and the results indicate that both methods allow the voltage profiles to be regulated at the wind generator connection bus within voltage standard limits, by taking into account the capability curves of the wind generators. Nevertheless, the fuzzy method presents more advantage in comparison with the sensitivity method. In fact, (i) it provides a gentler action control with a lower reactive power consumption during control operations as the reactive power profile follows better the voltage variations; (ii) the design of the fuzzy controller is independent from the knowledge of network parameters and its topology.