نتایج جستجو برای: improved pso using fuzzy logic f

تعداد نتایج: 4048992  

Journal: :Indonesian Journal of Electrical Engineering and Computer Science 2021

The three-phase power transformer in the transmission or distribution substations represents one of essential devices on electric networks. Losing this devise cause a disconnection utility to large number electrical loads. robust protection system must be designed protect device during abnormal operations. A complete for poly-phase Karbala networks (East substation) is modeled and simulated, ad...

Journal: :journal of advances in computer research 0
vahid khodashenas limouni department of electrical engineering, ali abad katoul branch, islamic azad university, ali abad katoul, iran young researchers and elite club, ali abad katoul branch, islamic azad university, ali abad katoul, iran s.asghar gholamian faculty of electrical and computer engineering, babol university of technology, babol, iran mehran taghipour gorjikolaie faculty of electrical engineering, university of birjand, birjand, iran

the idea of this paper is designing an automatic fault detection system based on fuzzy logic, therefore two signals of pmsm in fault condition are analyzed for inter turn fault detection: current and torque. in this fault type there is some distortion in these signals, but it is not good enough to detecting with fuzzy logic solely, so with combination of wavelet transform and fcm a new method f...

2016
Thi Mai Phuong DAO Yao Nan WANG Ngoc Khoat NGUYEN Phuong Dao Yao Nan Wang Ngoc Khoat Nguyen

A novel control approach to design efficient speed controllers for Switched Reluctance Motor (SRM) drives based on fuzzy logic (FL) and Particle Swarm Optimization (PSO) techniques is investigated in this study. The PSO mechanism with the simple implementation and high efficiency is adopted to optimize five parameters, including three scaling factors of a PI-like FL architecture and two switchi...

2013
Mostafa Ghaemi

Here, an Indirect Adaptive Interval Type-2 Fuzzy Sliding Mode Control (AIT2FSMC) is introduced for a class of nonlinear systems. In order to approximate unknown nonlinear functions, interval type-2 fuzzy logic system (IT2FLS) can be useful in presence of noisy data and external disturbances. Since, adjusting the interval type-2 fuzzy Membership Functions (MFs) to improve performance is a diffic...

Journal: :The Transactions of The Korean Institute of Electrical Engineers 2012

2013
Mickael Aghajarian Kourosh Kiani

Trial and error method can be used to find a suitable design of a fuzzy controller. Generally, the design of fuzzy controller involves determination of the fuzzy rules, Membership Functions (MFs) and scaling factors. An optimization algorithm facilitates the design process and finds an optimal design to achieve a desired performance. This paper presents an Improved Bacterial Foraging Optimizati...

2017

Autoepistemic logic is an important formalism for nonmonotonic reasoning originally intended to model an ideal rational agent reflecting upon his own beliefs. Fuzzy autoepistemic logic is a generalization of autoepistemic logic that allows to represent an agent?s rational beliefs on gradable propositions. It has recently been shown that, in the same way as autoepistemic logic generalizes answer...

Journal: :International journal of electrical & electronics research 2023

The development of a reliable power filter is essential for meeting the need high-quality power. Current and voltage harmonics are major contributor to poor quality must be eliminated. Shunt active filters (SAPFs) can installed reduce negative effects harmonics. Fuzzy logic proportional integral (PI) controllers excel at regulating DC link in shunt (SAPFs). This research assessed how well Parti...

Journal: :Expert Syst. Appl. 2012
Mohammad Bagher Javanbarg Charles Scawthorn Junji Kiyono Babak Shahbodaghkhan

This paper presents a fuzzy optimization model to solve multicriteria decision making (MCDM) systems based on a fuzzy analytic hierarchy process (fuzzy AHP). To deal with the imprecise judgments of decision makers, a fuzzy AHP decision making model is proposed as an evaluation tool, where the expert’s comparison judgments are translated into fuzzy numbers. Unlike the conventional fuzzy AHP meth...

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