نتایج جستجو برای: fuzzy pi controller

تعداد نتایج: 186081  

2015
Mustafa Dursun Ali Fuat Boz

Original scientific paper This paper presents the use of proportional integral (PI), proportional integral derivative (PID) and fuzzy logic (FL) speed controller techniques in the permanent magnet synchronous motor (PMSM) drive. PI and PID controllers require precise linear mathematical model of the system. On the other hand, FL needs linguistic description of the system. The dynamic response o...

2014
Sri Latha Eti Prema Kumar

Brushless DC Motors are widely used for many industrial applications because of their high efficiency, high torque and low volume. This paper proposed an improved Adaptive Fuzzy PI controller to control the speed of BLDC motor. This paper provides an overview of different tuning methods of PID Controller applied to control the speed of the transfer function model of the BLDC motor drive and the...

2013
José L. AZCUE-PUMA Alfeu J. SGUAREZI FILHO Ernesto RUPPERT

This article proposes a Takagi-Sugeno Fuzzy (TSF) controller for vector control method applied in three-phase induction motor control. The conventional vector control method has two PI current controllers. With the aim to reduce the quantity of these controllers, it is proposed a unique fuzzy controller to substitute both PI controllers. The performance of the proposed TSF controller is analyze...

In this paper, a model of frequency response has been used which shows the effect of output power of distributed generation on microgrid frequency. To have better assessment, nonlinear conditions are considered. These nonlinear conditions are delays, dead bands and limiters. A diesel generator controls the Microgrid frequency.  It can control frequency influenced by step changing in load.  A PI...

1999
Thomas Brehm Kuldip S. Rattan

This paper investigates two fuzzy logic PID controllers that use simplified design schemes. Fuzzy logic PD and PI controllers are effective for many control problems but lack the advantages of the fuzzy PID controller. Design methodologies are in their infancy and still somewhat intuitive. Fuzzy controllers use a rule base to describe relationships between the input variables. Implementation of...

2015
Jian-Ping Wen

31 www.erpublication.org  Abstract—In order to overcome the nonlinear characteristics of permanent magnet synchronous motor (PMSM), fractional order (FO) fuzzy proportional integral (PI) controller was designed based on the fractional order calculus and fuzzy technology for PMSM with the nonlinearity and time-varying parameters at work. Fuzzy control rules are designed in the light of running ...

2014
Lakshmi Mohan

Brushless DC (BLDC) motors are commonly used in applications that require high reliability, high efficiency and high power-to-volume ratio such as industrial automations, manufacturing, robotics and aerospace. The speed of a brushless dc motor can be controlled in a closed loop by measuring the actual speed of the motor.PI (Proportional Integral), PID (Proportional Integral Derivative) and fuzz...

2016
Adeel Sabir Mahmoud Kassas

A novel speed controller for the trapezoidal three–phase Brushless DC (BLDC) Motor Drive is proposed using a hybrid fuzzy logic/proportional plus integral (PI) control. The structure of the fuzzy logic controller is different from conventional fuzzy logic implementations such that it only uses three simple rules based on speed error being either in the positive, negative or zero regions. The co...

2013
Baozhu Jia Hui Cao Jie Ma

The fuzzy switched PID controller which combines fuzzy PD and conventional PI controller is proposed for ship track-keeping autopilot In this paper. By using rudder angle, the whole voyage is divided into two operating regimes which named transient operating regime and steady operating regime respectively. The fuzzy PD controller is employed in transient operating regime for increasing response...

2010
Mohammed Yousif Hassan

Dr. Mohammed Yousif Hassan* Received on:28/6/2009 Accepted on:3/12/2009 Abstract Pneumatic circuits are widely used in industrial automation, such as drilling, sawing, squeezing, gripping, and spraying. Furthermore, they are used in motion control of materials and parts handling, packing machines, machine tools, foodprocessing industry and in robotics. In this paper, a Neural Network based Fuzz...

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