نتایج جستجو برای: controller system

تعداد نتایج: 2257339  

In this paper, the optimal design of supplementary controller parameters of a unified powerflow controller(UPFC) for damping low-frequency oscillations in a weakly connected systemis investigated. The individual design of the UPFC controller, using hybrid particle swarmoptimization and gravitational search algorithm (PSOGSA)technique under 3 loadingoperating conditions, is discussed. The effect...

The aim of this paper is to investigate a novel approach for output feedback damping controller design ofSTATCOM in order to enhance the damping of power system low frequency oscillations (LFO). The design ofoutput feedback controller is considered as an optimization problem according with the time domain-basedobjective function which is solved by a honey bee mating optimization algorithm (HBMO...

Journal: :the modares journal of electrical engineering 2005
maryam khodabandeh alireza alfi

this paper introduces a technique for controlling a class of uncertain chaotic systems using an adaptive fuzzy proportional-integrator-derivative (pid) controller with h∞ tracking performance. the purpose of this work is to achieve optimal tracking performance of the controller using backtracking search algorithm (bsa). bsa, which is a novel heuristic algorithm, has an easy structure with singl...

Smart home is composed of several controllers with different plants in control. If each controller works independently, without considering the mutual effect of the others in the control process, the whole system could definitely not converge to an optimum desired status and may not ever reach the demanded condition. The function of different controller system may has conflict In some condition...

Journal: :international journal of automotive engineering 0
e. khanmirza h. darvish .f gholami e. alimohammadi

accurate and correct performance of controller in cruise control systems is important. hence, in such systems, controller should optimize itself against noise and probable changes in system dynamic. as a matter of fact, in this article three approaches have been conducted to-ward this purpose: mit, direct estimation and indirect estimation. these approaches are used as controllers to track refe...

This paper presents a new strategy based on Multi-stage Fuzzy (MSF) PID controller based on Artificial Bee Colony (ABC) for damping Power System Stabilizer (PSS) in multi-machine environment. The recent studies in artificial intelligence demonstrated that the ABC optimization is strong intelligent method in complicated stability problems. Also, finding the parameters of PID controller in power ...

This paper presents a new strategy based on Multi-stage Fuzzy (MSF) PID controller based on Artificial Bee Colony (ABC) for damping Power System Stabilizer (PSS) in multi-machine environment. The recent studies in artificial intelligence demonstrated that the ABC optimization is strong intelligent method in complicated stability problems. Also, finding the parameters of PID controller in power ...

Increasing of word demand load caused a new Distributed Generation (DG) to enter to powersystem. One of the most renewable energy is the Photovoltaic System. It is beneficial to use thissystem in both separately as well as connected to power system using power electronics interface.In this paper an optimal PID controller for Photovoltaic System systems has been developed. Theoptimization techni...

In this paper, an optimal adaptive sliding mode controller is proposed for anti-synchronization of two identical hyperchaotic systems. We use hyperchaotic complex T-system for master and slave systems with unknown parameters in the slave system. To construct the optimal adaptive sliding mode controller, first a simple sliding surface is designed. Then, the optimal adaptive sliding mode controll...

The aim of this paper was to present an optimized method in order to use maximum capacity of the photovoltaic panels. In this regard, we presented a method for the maximum power point tracking in the photovoltaic systems by using the neural networks and adaptive controller. In the proposed system, we estimated an error by using neural network. If this error is lower than the allowable systems e...

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