نتایج جستجو برای: optimal fuzzy controlled system

تعداد نتایج: 2873683  

2002
F. Janabi-Sharifi

A fuzzy logic control (FLC) is designed to maintain constant tension for tandem rolling mills. Genetic algorithm (GA) is used as self-organization technique for FLC to locate the optimal parameters. Simulation results verify the superior performance of genetic fuzzy controller. Keywords-tension control, fuzzy logic, genetic fuzzy system, rolling mill.

2014
Vivek Saxena Satya Prakash

The power system stabilizer is used to damp out the low frequency oscillations that improve the small signal stability of the power system. If ignored these low frequency oscillations may lead to cascaded failure of the complete power system. This paper presents the comparative study of conventional power system stabilizer (CPSS) with newly proposed Adaptive Fuzzy Logic Controlled Power System ...

2014
M. L. Aggarwal

In this paper, different semi-active control strategies for non-linear quarter car model equipped with controllable magneto-rheological (MR) shock absorbers and fuzzy logic controller are compared. Polynomial model is selected to characterize the experimental results of MR shock absorber. A combination of Forward Fuzzy Logic Controller (FFLC) and Inverse Fuzzy Logic Controller (IFLC) is designe...

2006
YI HU

In this paper, a fuzzy logic control system was constructed for controlling the green time length for a real single intersection with multiple lanes, turns, and two pedestrian crossings. Control of pedestrian crossingd was achieved by assigning pedestrian crossingd into related light phases, which were controlled by a fuzzy logic controller. An evolutionary algorithm was employed to generate th...

2004
M. M. Takami A. Fatehi

Because of increasingly application of fuzzy systems, great deal of attention has been paid to design of fuzzy controller system. Many methods of fuzzy controller design have been suggested such as genetic algorithm and neural network. In this paper, our purpose is to design fuzzy controller rule base by GA. In fact, by GA through possible rule base we search for a subset of optimal rules for f...

2015
Chenxing Zhong Yu Guo Lu Wang

Based on active disturbance rejection control (ADRC) and fuzzy logic control, a control scheme for attitude maneuver control of spacecraft is proposed. In which a maneuver path is planned to reduce overshoot and improve rapidity, and an extended state observer is designed to cope with unknown disturbances and parameter uncertainties. Furthermore, in order to improve dynamic performance of the c...

2010
Kurniawan Eka Permana Zaiton Mohd Hashim

In this paper, we will propose a method to generate fuzzy membership function automatically. Particle Swarm Optimization is used as optimized algorithm, supplement the performance of fuzzy system. PSO is able to generate an optimal of fuzzy set for the membership functions automatic adjustment. Fuzzy control system that automatically back up a truck to a specified point on a loading dock is use...

2012
A. Puras Trueba J. R. Llata García

A nonlinear optimal controller with a fuzzy gain scheduler has been designed and applied to a Line-Of-Sight (LOS) stabilization system. Use of Linear Quadratic Regulator (LQR) theory is an optimal and simple manner of solving many control engineering problems. However, this method cannot be utilized directly for multigimbal LOS systems since they are nonlinear in nature. To adapt LQ controllers...

2008
A. Lakshmi Devi B. Subramanyam

Distributed generators are beneficial in reducing the losses effectively compared to other methods of loss reduction. In this paper optimal DG unit placement using fuzzy logic is discussed. The optimal size of the DG unit is calculated analytically using approximate reasoning suitable nodes are determined for DG unit placement. Voltage and power loss reduction indices of distribution system nod...

Multivariable liquid level control is essential in process industries to ensure quality of the product and safety of the equipment. However, the significant problems of the control system include excessive time consumption and percentage overshoot, which result from ineffective performance of the tuning methods of the PID controllers used for the system. In this paper, fuzzy logic was used to t...

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