35 research outputs found
A model for current source inverter fed induction motor / Piush Kumar and Vineeta Agarwal
No full textA model has been developed for self-commutated current source inverter (SCCSI) fed induction motor in synchronously rotating d-q reference frame using proportional regulators in speed and current loops. The steady-state parameters and slip regulator characteristics of the drive are determined experimentally. Transient as well as steady state performance is obtained by developing a computer programme in MATLAB. The analysis has been carried out for the different values of the speed and current controller parameters. It has been found that with an increase in speed controller parameter Kps, the stator current as well as torque developed by the motor both reduces but the transient time to reach the steady state condition increases. There is a large drop in dc link current with a change in speed. However, there is no effect on current and torque when current controller parameter Kpi changes, But, the stator voltage increases rapidly with an increase in Kpi.. For the selected motor, controller parameter are obtained such that Kps 20 and Kpi 0.6
Design Fuzzy PI Based Controller for Load Frequency Control of Thermal Thermal Area Interconnected Power System
No full textThis paper presents how to design proportional integral controller and Fuzzy PI based controller for efficiently load frequency control. Loads on the electrical system always vary in relation to that time, which results in diversity of frequency, causing frequency control problems to be loaded. The frequency difference is highly undesirable and the maximum allowable difference in frequency is ±0.5 Hz. This paper load frequency control is done by PI controller, which is a conventional controller. This type of controller is slow and the controller does not allow the designer to keep in mind the potential change in operating conditions and non linearity in the generator unit. To overcome these flaws, new intelligent controllers like Fuzzy PI Controller are presented to extinguish tie line power due to deviation in frequency and various load disturbances. The effectiveness of the proposed controller has been confirmed using the MATLAB SIMULINK software. The results show that the PI fuzzy controller provides fast response, little undershoots and negligible overshoot with small state transfer time to reach the final stable position. Ajay Kumar Maurya | Dr. G. K. Banerjee | Dr. Piush Kumar "Design Fuzzy-PI Based Controller for Load Frequency Control of Thermal - Thermal Area Interconnected Power System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-1 , December 2018, URL: https://www.ijtsrd.com/papers/ijtsrd19164.pd
Design of fuzzy PI controller for CSI fed induction motor drive / Piush Kumar, Vineeta Agarwal and Asheesh K. Singh
No full textIn this paper the closed loop control of CSI fed induction motor is investigated using fuzzy logic controller. A slip control scheme has been used for the induction motor. The evaluation of the fuzzy logic controller behavior is made through computer simulation with MATLAB coding. The starting transient of the motor is investigated for different operating speeds with different load torque. It has been found that for fuzzy controller, once the parameters are selected for a specified load and speed it will work for all other load and speed whereas for conventional PI controller, the parameters have to be changed for each load and speed setting. The fuzzy controller reduces the over shoot value of speed by approximately 2 to 5 % while for dc link current it reduces around 4% as compared to conventional PI controller. This reduces the rating of the devices used in the drive system. It has also been found that the system shows some what slow response with less oscillation so that fuzzy controller can be used where smooth operation is required
Design of fuzzy PI controller for CSI fed induction motor drive
No full textIn this paper the closed loop control of CSI fed induction motor is investigated using fuzzy logic controller. A slip control scheme has been used for the induction motor. The evaluation of the fuzzy logic controller behavior is made through computer simulation with MATLAB coding. The starting transient of the motor is investigated for different operating speeds with different load torque. It has been found that for fuzzy controller, once the parameters are selected for a specified load and speed it will work for all other load and speed whereas for conventional PI controller, the parameters have to be changed for each load and speed setting. The fuzzy controller reduces the over shoot value of speed by approximately 2 to 5 % while for dc link current it reduces around 4% as compared to conventional PI controller. This reduces the rating of the devices used in the drive system. It has also been found that the system shows some what slow response with less oscillation so that fuzzy controller can be used where smooth operation is required
Comparison of Artificial Intelligence-Based Solutions Applied to Economic Load Dispatch Problem
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Fractional Ecosystem Model and Its Solution by Homotopy Perturbation Method
No full textAbstract In the present paper we propose an algorith m based on Ho motopy Perturbation Method to solve the fractional Ecosystem model and show the efficiency and accuracy of the algorith m . Th is Ecosystem model is solved with time fractional derivatives in the sense of Caputo. The nonlinear terms can be easily handled by the using He's Polynomials. The numerical solutions of the Ecosystem model reveal that only a few iterations are sufficient to obtained accurate approximate analytical solutions. The numerical results obtained are presented graphically. The four different cases are considered and proved that the method is extremely effective due to fractional approach and performance. Co mparing the methodology (FHPM) with the some known technique (HPM) shows that the present approach is effective and powerful. The proposed scheme finds the solution with the help of Mathematica and without any restrictive assumptions. We imp lement it to four different problems
A software approach for the prediction of efficiency of three phase induction motor at optimize iron losses
No full textDesign Improvement and Assessment of Efficiency of Three Phase Induction Motor Operating Under the Rated Voltage
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