نتایج جستجو برای: particle swram optimization pi controller

تعداد نتایج: 570470  

Journal: :International Journal of Power System Operation and Energy Management 2011

Journal: :journal of artificial intelligence in electrical engineering 2014
milad babakhani qazijahan

the purpose of load frequency control is to reduce transient oscillation frequencies than its nominal valueand achieve zero steady-state error for it.a common technique used in real applications is to use theproportional integral controller (pi). but this controller has a longer settling time and a lot of extramutation in output response of system so it required that the parameters be adjusted ...

2009
R. Farkh M. Ksouri

In this paper, we consider the control of time delay system by Proportional-Integral (PI) controller. By Using the HermiteBiehler theorem, which is applicable to quasi-polynomials, we seek a stability region of the controller for first order delay systems. The essence of this work resides in the extension of this approach to second order delay system, in the determination of its stability regio...

Journal: :Bulletin of Electrical Engineering and Informatics 2022

This article uses a dynamic voltage restorer to tackle wide range of power quality issues, such as drooping and swelling, spikes, distortions, so on. The proportional controller, integrated controller (PI), adaptive neuro-fuzzy inference system (ANFIS) are proposed (DVR) controllers. control strategy's goal is employ an injection transformer mitigate for the needed keep load fixed. settings PI ...

2014
A. S. Oshaba

This paper presents the speed control of a DC series motor supplied by Photovoltaic (PV) system. The proposed design problem of speed controller is formulated as an optimization problem. Bacteria Foraging Optimization Algorithm (BFOA) is employed to search for optimal Proportional Integral (PI) parameters of speed controller by minimizing the time domain objective function. The performance of t...

B. Mirzaeian, M. Moallem, V. Tahani and Caro Lucas,

In this paper, a new method based on genetic-fuzzy algorithm for multi-objective optimization is proposed. This method is successfully applied to several multi-objective optimization problems. Two examples are presented: the first example is the optimization of two nonlinear mathematical functions and the second one is the design of PI controller for control of an induction motor drive supplie...

Journal: : 2021

Magnetic Levitation System (MLS) is one of the benchmark laboratories models for designing and testing feedback control systems in presence parametric uncertainties disturbances effect. Therefore, MLS can be regarded as a tool to study verify certain robust controller design. In this paper, two types powerful schemes are presented MLS. The first PI-PD controller, while other fractional order FO...

This paper addresses the problems caused by an inappropriate selection of sliding surface parameters in fuzzy sliding mode controllers via an optimization approach. In particular, the proposed method employs the parallel distributed compensator scheme to design the state feedback based control law. The controller gains are determined in offline mode via a linear quadratic regular. The particle ...

پایان نامه :دانشگاه آزاد اسلامی - دانشگاه آزاد اسلامی واحد تهران مرکزی - دانشکده برق و الکترونیک 1390

there are many approaches for solving variety combinatorial optimization problems (np-compelete) that devided to exact solutions and approximate solutions. exact methods can only be used for very small size instances due to their expontional search space. for real-world problems, we have to employ approximate methods such as evolutionary algorithms (eas) that find a near-optimal solution in a r...

Journal: :journal of computer and robotics 0
mojtaba gholamian faculty of computer and information technology engineering, qazvin branch, islamic azad university, qazvin, iran mohammad reza meybodi department of computer engineering and information technology, amirkabir university of technology, tehran, iran

so far various methods for optimization presented and one of most popular of them are optimization algorithms based on swarm intelligence and also one of most successful of them is particle swarm optimization (pso). prior some efforts by applying fuzzy logic for improving defects of pso such as trapping in local optimums and early convergence has been done. moreover to overcome the problem of i...

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