نتایج جستجو برای: fuzzy controller optimization algorithm

تعداد نتایج: 1073592  

2017
Nordin Saad Muawia A. Magzoub Rosdiazli Ibrahim Muhammad Irfan

This paper discusses the performance and the impact of disturbances onto a proposed hybrid fuzzy-fuzzy controller (HFFC) system to attain speed control of a variable speed induction motor (IM) drive. Notably, to design a scalar controller, the two fea‐ tures of field-oriented control (FOC), i.e., the frequency and current, are employed. Specifically, the features of fuzzy frequency and fuzzy cu...

Journal: :the modares journal of electrical engineering 2016
r. rahmani a. fakharian

microgrids are small-scale, low voltage (lv) power networks which employ renewable distribution energy resources (ders) with power electronic interfaces (peis). microgrids as single controlled units and active distribution networks require flexible control systems to ensure reliable and secure operation in different modes. these various operations of microgrid cause variations in voltage and fr...

Journal: :journal of electrical and computer engineering innovations 2016
jalal rostami monfared mehdi fazeli yaser lotfi

in this article, a speed control of dc motor is designed and illustrated using fuzzy logic-based programmable logic controller (plc). the dc motor is an attractive part of electrical equipment in many industrial applications requiring variable speed and load specifications due to its ease of controllability. the designed system is consisted of three main parts including programmable logic contr...

2009
Yeong-Hwa Chang Chia-Wen Chang Hung-Wei Lin C. W. Tao

In this paper, an improved ant colony optimization (ACO) algorithm is proposed to enhance the performance of global optimum search. The strategy of the proposed algorithm has the capability of fuzzy pheromone updating, adaptive parameter tuning, and mechanism resetting. The proposed method is utilized to tune the parameters of the fuzzy controller for a real beam and ball system. Simulation and...

2016
Saji Chacko Chandrashekhar N. Bhende Shailendra Jain Rajesh Kumar Nema

Induction motor with indirect field oriented control is preferred for high performance applications due to its excellent dynamic behavior. However, it is sensitive to variations in rotor time constant, especially variation in rotor resistance which needs to be estimated online. Conventionally the model reference adaptive system with fuzzy logic controllers as adaptation is used, which works sat...

2005
H. Nejat Pishkenari S. H. Mahboobi

Trajectory tracking; Mobile robot; Differential evolution; Genetic algorithm; Fuzzy membership functions. Abstract Differential Evolution (DE) and Genetic Algorithms (GA) are population based search algorithms that come under the category of evolutionary optimization techniques. In the present study, these evolutionary methods have been utilized to conduct the optimum design of a fuzzy controll...

2011
Mosè Galluzzo Bartolomeo Cosenza

A fuzzy controller for the closed loop control, by insulin infusion of glycaemia in type 1 diabetic patients is proposed. The controller uses type-2 fuzzy sets. The controller was tested in simulation using a complex nonlinear model of the glucose metabolism. Simulation results confirm the effectiveness and the robustness of the type-2 fuzzy logic controller. The design of the controller uses a...

Journal: :International Journal of Power Electronics and Drive Systems 2022

<span>In this paper, a photovoltaic (PV) fuzzy maximum power point tracking (MPPT) method optimized by the chimp algorithm is presented. The logic controller (FLC) of seven triangular membership functions (MFs) used. optimization fitness function composed transient and steady-state indices under different irradiation temperature operating conditions. By using MATLAB package, performance e...

Journal: :CoRR 2010
C. Srisailam Mukesh Tiwari Anurag Trivedi

This paper describes the use of fuzzy logic controller for efficiency optimization control of a drive while keeping good dynamic response. At steady-state light-load condition, the fuzzy controller adaptively adjusts the excitation current with respect to the torque current to give the minimum total copper and iron loss. The measured input power such that, for a given load torque and speed, the...

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