نتایج جستجو برای: Particle Swram Optimization PI Controller
تعداد نتایج: 570470 فیلتر نتایج به سال:
this paper introduces a novel control methodology based on fuzzy controller for a glucose-insulin regulatory system of type i diabetes patient. first, in order to incorporate knowledge about patient treatment, a fuzzy logic controller is employed for regulating the gains of the basis proportional-integral (pi) as a self-tuning controller. then, to overcome the key drawback of fuzzy logic contro...
This paper introduces a novel control methodology based on fuzzy controller for a glucose-insulin regulatory system of type I diabetes patient. First, in order to incorporate knowledge about patient treatment, a fuzzy logic controller is employed for regulating the gains of the basis Proportional-Integral (PI) as a self-tuning controller. Then, to overcome the key drawback of fuzzy logic contro...
-This paper presents the scheme of vector control of Induction Motor using three different types of speed controllers, conventional PI controller, ANN speed controller and PI controller, for which parameters are optimized using Particle Swarm Optimization technique. The disadvantage of the PI controller like slow response and large settling time are avoided using the ANN speed controller. The d...
In recent years, there has been an increasing interest on applying advanced and intelligent control designs in power engineering area. As a heuristic optimization technique, Particle Swarm Optimization (PSO) is used for tuning the parameters of the STATCOM. Regulating the DC capacitor voltage in STATCOM is a common task and can improve the system dynamic. The nonlinear control is based on exact...
in this paper, the unified power flow controller (upfc) is enhanced with a chaotic particle swarm optimization (cpso) damping controller in order to mitigate the low frequency oscillations (lfo) in a single machine infinite bus (smib) power system. the designed damping controller is an optimized lead-lag controller, which extracts the speed deviation of the generator rotor and generates the out...
In this paper, the speed tracking for permanent magnet synchronous motor (PMSM) in field oriented control (FOC) method is investigated using linear proportional-integral (PI) controller, sliding mode controller (SMC) and its advanced counterparts. The advanced SMCs considered in this paper are fuzzy SMC (FSMC) and sliding mode controller with time-varying switching gain (SMC+TG) which can effec...
In this work Artificial Intelligence (AI) techniques like Fuzzy logic, Genetic Algorithms and Particle Swarm Optimization have been used to improve the performance of the Automatic Generation Control (AGC) system. Instead of applying Genetic Algorithms and Particle swarm optimization independently for optimizing the parameters of the conventional AGC with PI controller, an intelligent tuned Fuz...
In order to meet the requirements of high precision and fast response of permanent magnet direct drive (PMDD) wind turbines, this paper proposes a fuzzy proportional integral (PI) controller associated with a new control strategy for wind turbine converters. The purpose of the control strategy is to achieve the global optimization for the quantization factors, ke and kec, and scale factors, kup...
s : This paper proposes the improvement of power flow during transient condition of HVDC light using PI Controller. The Optimal design of PI controller for a HVDC light is a challenging task and time consuming using the conventional techniques. This work presents analysis of transient stability of HVDC link using PI controller, and the stability has been improved by optimized gains of PI contro...
This article presents particle swarm optimization (PSO)-based optimal gain tuning of proportional integral (PI) speed controller in an induction motor (IM) drive (30 hp) with mine hoist load diagram. Optimization considers the load and speed variations, and provides appropriate gains to the speed controller to obtain good dynamic performance of the motor. IM performance is checked with the opti...
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