نتایج جستجو برای: mpso

تعداد نتایج: 158  

Journal: :Complexity 2021

The traveling salesman problem (TSP) is one of the most important issues in combinatorial optimization problems that are used many engineering sciences and has attracted attention scientists researchers. In this issue, a starts to move from desired node called warehouse returns starting place after meeting n customers provided each customer only met once. aim issue determine cycle with minimum ...

B. Farhadi E. Fallah Choolabi S.H. Shahalami

In this paper, a new approach is proposed for the optimum design of single-phase induction motor. By using the classical design equations and the evolutionary algorithms such as Genetic Algorithms (GA), Particle Swarm Optimization (PSO) and Modified Particle Swarm Optimization (MPSO), a Single Phase Induction Motor (SPIM) was designed with the maximum efficiency. The Finite Element Method (FEM)...

Journal: :International Journal of Fuzzy Systems 2021

A linear permanent magnet synchronous motor (LPMSM) drive system is keeping in many nonlinear effects such as the external load force, flux saturation, cogging column friction and Stribeck parameters variations. Due to uncertainty existing controllers can not achieve better control performances for LPMSM system. To raise robustness under occurrence of uncertainty, integral backstepping with hit...

Journal: :Journal of physics 2021

Abstract Several studies exist in the literature that utilized metaheuristics and nature-inspired algorithms to solve engineering problems. Particle Swarm Optimization (PSO) is a well-known algorithm has been used for different optimization problems due its simplicity ability find near-optimal solutions. However, PSO suffers from problem of balancing between global search local abilities when a...

Journal: :Frontiers in Earth Science 2023

Accurate inversion of seismic fault parameters has been a challenge in the studies geophysical non-linear problems. Many methods such as Simulated Annealing (SA), Genetic Algorithm (GA), Particle Swarm Optimization (PSO), and Multipeaks (MPSO), have usually applied to inverse from geodetic observation data. However, their accuracy availability can vary different-type earthquakes (pure strike-sl...

Journal: :Mathematical Problems in Engineering 2022

The height of the water flowing fractured zone (HWFFZ) is key parameter for safe coal mining under bodies. In order to improve accuracy prediction model HWFFZ, grey relational analysis (GRA) used quantitatively analyze influencing factors main HWFFZ condition comprehensive mechanized and top caving are selected scientifically, these five that include depth, thickness, inclined length working fa...

Journal: :Sustainable Cities and Society 2021

Abstract Although several energy management schemes are developed in the literature, they not thoroughly examined order to reduce impact of uncertain power generation, demand and electricity prices minimise operating cost a small-scale system. This paper investigates under environments proposes scheduling scheme grid-connected microgrid. Optimisation problems formulated as real-time approaches,...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه شیراز - دانشکده مهندسی برق و کامپیوتر 1391

رباتهای گروهی در کاربردهای رباتیکی به طور گسترده مورد استفاده قرار میگیرند؛ به خصوص در مواردی که استفاده از رباتهای انفرادی برای به نتیجه رساندن کاری مشخص امکانپذیر نباشد. بنابراین، طراحی الگوریتمی کارا برای کنترل رباتهای گروهی یکی از مسائل مورد بحث در رباتیک میباشد. در این پایان نامه در ابتدا شبیه سازی ای طراحی شده تا کارکرد جستجوی گروهی رباتها با استفاده از بهینه سازی ذرات بررسی شود. سپس دو ا...

2010
G. SHABIB A. G. MOSLEM A. M. RASHWAN

This paper present a new method to determine the optimal tuning of the PID controller parameter of an AVR system using Modified particle swarm optimization (MPSO) algorithm. the AVR is not robust to variations of the power system parameters therefore, it is necessary to use PID controller To increase the stability and performance of the AVR system. Fast tuning of optimum PID controller paramete...

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