نتایج جستجو برای: fuzzy simulation

تعداد نتایج: 638755  

Journal: :JDIM 2014
Jian-ming Zheng Meng-jie He Er-dong Liu Qilong Yuan Ji-ming Xiao Ao-fei Tang

The direct-drive pump control system has been gradually applied to the industrial control field due to its high control precision, fast response, small throttle loss and compact structure. This paper adopts the fuzzy PID control method to resolve the hydraulic cylinder position servo control of direct-drive pump control system. The system model and fuzzy PID control algorithm was established by...

Journal: :JCP 2008
Norashidah Md Din Norsheila Fisal

Differentiated Services (DiffServ)-aware network potentially can provide the next generation platform for multimedia support in the Internet. In this work we look at improving bandwidth allocation in such a network. We study how to implement bandwidth predicting and policing in a DiffServ aware network using fuzzy logic. A token bucket fuzzy logic bandwidth predictor for real time variable bit ...

2012
Xue Qi - Long Wang Rui - He Song Wei - Qiang Huang Lei - Lei

The purpose of this study is to establish a control method to make borehole trajectory smoother. Considering that the complexity of rotary steerable drilling trajectory control and uncertainty of underground work, analysis of the deficiencies for the traditional trajectory control and the rotary steerable drilling trajectory deviation vector control theory, introduced the concept of "trend Angl...

2012
Yang Wenchen

This paper presents two optimal approaches of two-stage fuzzy controller for traffic signals at isolated intersections. Firstly, in the light that traffic status variables in two-stage controller leads to the inefficiency of traffic status weakening under low traffic flow, a two-stage combination fuzzy controller is designed from the perspective of structural optimization; this controller intro...

2001
Jianping Wu Mark Brackstone Mike McDonald

Microscopic simulation modelling has recently become attractive to researchers in traffic engineering as it appears to offer a cost effective and ‘safe’ way of investigating Intelligent Vehicle-Highway System (IVHS) at a fundamental level. However, the deterministic approach used assumes a consistency of behaviour which may severely detract from model validity. This may be overcome by using a ‘...

2011
Wang Lili Zhang Tao

State of the research about the technology of solar energy with LHTS (Latent Heat Thermal Storage ) at home and abroad was firstly introduced, and a fresh air system with solar energy and LHTS was then introduced. After that the fuzzy control system of fresh air temperature was studied. Firstly, a mathematical model of the fan coil was built as the controlled plant. Then, a fuzzy controller was...

2012
S. Leghmizi S. Liu F. Naeim

This paper presents a fuzzy control system for a three degree of freedom (3-DOF) stabilized platform with explicit decoupling scheme. The system under consideration is a system with strong interactions between three channels. By using the concept of decentralized control, a control structure is developed that is composed of three control loops, each of which is associated with a single-variable...

2013
Khalid Al-Mutib Adamali Shah Ebrahim Mattar

This paper proposes to control the speed of the permanent magnet (PM) DC motor drive using fuzzy logic control (FLC) based on Matlab simulation environment. The proposed speed controller is developed based on fuzzy logic, to minimize maximum overshoot and steady state error. A comparison study and analysis of proposed fuzzy logic control to classical PID control system applied to PM DC motor is...

2006
A. Azadeh Z.Javaheri

Fuzzy optimization deals with finding the values of input parameters of a complex simulated system which result in desired output. Traditional techniques may require an enormous amount of simulation runs to evaluate the system. To alleviate this problem, the proposed work provides the means of incorporating knowledge, expressed in natural language, that is often available among analysts and dec...

2013
GANG LIU

A fuzzy neural network controller which is the combination of the fuzzy control and neural network technology, is presented based on the severe nonlinearity and large hysteresis of the pH value control process. It shows that,by digital simulation, the control effect of the proposed FNNC's control algorithm is much better than it of the conventional PID control and ecumenic fuzzy control algorit...

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