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RISS 인기검색어
- 검색키워드
- 저자 : Dastfan, Ali (검색결과 4 건)
- 무료
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Optimal Controller Design for Single-Phase PFC Rectifiers Using SPEA Multi-Objective Optimization
Amirahmadi, Ahmadreza,Dastfan, Ali,Rafiei, Mohammadreza The Korean Institute of Power Electronics 2012 JOURNAL OF POWER ELECTRONICS Vol.12 No.1
In this paper a new method for the design of a simple PI controller is presented and it has been applied in the control of a Boost based PFC rectifier. The Strength Pareto evolutionary algorithm, which is based on the Pareto Optimality concept, used in Game theory literature is implemented as a multi-objective optimization approach to gain a good transient response and a high quality input current. In the proposed method, the input current harmonics and the dynamic response have been assumed as objective functions, while the PI controller's gains of the PFC rectifier (Kpi, Tpi) are design variables. The proposed algorithm generates a set of optimal gains called a Pareto Set corresponding to a Pareto Front, which is a set of optimal results for the objective functions. All of the Pareto Front points are optimum, but according to the design priority objective function, each one can be selected. Simulation and experimental results are presented to prove the superiority of the proposed design methodology over other methods.
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S. Sedghi,A. Dastfan,A.Ahmadyfard 전력전자학회 2011 ICPE(ISPE)논문집 Vol.2011 No.5
The multilevel inverters (MLIs) utilization has been increased in recent years due to their lots of advantages. The MLI has many switches that increase the probability of fault events. In this paper a fault diagnosis method for a cascade H-bridge 7-level inverter is proposed. The output phase voltage is used to detect fault type and their locations. The histogram analysis is used for feature extraction and these features have been used as input to the Neural Networks (NNs). The multilayer perceptron NNs have been used for fault diagnosis. Simulation results are given for a cascade 7-level inverter at different modulation indices and show that this method is accurate for detection of faults and their locations. This method works correctly under noisy condition and the classification performance for the noise with variance up to 1500 is 100%. The proposed method is faster and less complicated because of using histogram analysis instead of using sophisticated methods such as FFT or wavelet
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A New Multilevel Carrier Based Pulse Width Modulation Method For modular Multilevel Inverter
S. Sedghi,A. Dastfan,A.Ahmadyfard 전력전자학회 2011 ICPE(ISPE)논문집 Vol.2011 No.5
The multilevel inverters (MLIs) utilization have been increased in recent years due to its advantages such as: staircase waveform quality, better harmonic spectrum, reduced EMI, eliminated common mode voltage and etc. Different methods have been proposed for multilevel inverter modulation that one of them is levelshifted PWM method (LS-PWM). In this paper a new LSPWM method is introduced that uses rotating carrier waveforms for generation of gate signals of switches to balance switching pattern in all cells for a modular MLI, at all modulation indices. A three phase seven level modular inverter is used to explain the method. This method can be easily extended to an n-level inverter. Simulation has been carried out and results show that the proposed method can balance switching pattern for all cells compare to the conventional LS-PWM while the quality of waveforms has not been changed.
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Optimal Controller Design for Single-Phase PFC Rectifiers Using SPEA Multi-Objective Optimization
Ahmadreza Amirahmadi,Ali Dastfan,Mohammadreza Rafiei 전력전자학회 2012 JOURNAL OF POWER ELECTRONICS Vol.12 No.1
In this paper a new method for the design of a simple PI controller is presented and it has been applied in the control of a Boost based PFC rectifier. The Strength Pareto evolutionary algorithm, which is based on the Pareto Optimality concept, used in Game theory literature is implemented as a multi-objective optimization approach to gain a good transient response and a high quality input current. In the proposed method, the input current harmonics and the dynamic response have been assumed as objective functions, while the PI controller’"s gains of the PFC rectifier (Kpi, Tpi) are design variables. The proposed algorithm generates a set of optimal gains called a Pareto Set corresponding to a Pareto Front, which is a set of optimal results for the objective functions. All of the Pareto Front points are optimum, but according to the design priority objective function, each one can be selected. Simulation and experimental results are presented to prove the superiority of the proposed design methodology over other methods.
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