نتایج جستجو برای: fuzzy pd

تعداد نتایج: 147699  

Journal: :journal of computer and robotics 0
mojtaba kazemi faculty of electrical and computer engineering, qazvin branch, islamic azad university, qazvin, iran jalal najafi faculty of electrical and computer engineering, qazvin branch, islamic azad university, qazvin, iran mohamad bagher menhaj department of electrical engineering, amirkabir university, tehran, iran

the ball and beam system is one of the most popular laboratory setups for control education. in this paper, we design a fuzzy pd cascade controller for a ball and beam system using asexual reproduction optimization (aro) technique. the ball & beam system consists of a servo motor, a grooved beam, and a rolling ball. this system utilizes a servo motor to control ball’s position on the beam. chan...

2008
K. Kamali

This paper illustrates an application of intelligent control for a planar 3-RRR parallel manipulator. Unlike control of serial manipulators that has been vastly addressed in scientific literature, control of parallel manipulators has been only addressed by few. A GA optimized bi-level tuning fuzzy PD controller is designed here to control the manipulator. In order to consider the maximum allowa...

2000
Hao Ying

In this paper, analytical structures of TITO (two-input two-output) Mamdani fuzzy PI/PD controllers are investigated with respect to conventional PI/PD control and variable gain control. Components of the fuzzy controllers include two input fuzzy sets for each input variable, five singleton output fuzzy sets for each output variable, 16 fuzzy rules, product AND fuzzy logic operator, the Mamdani...

2011
C. Boeri F. Neto da Silva J. Ferreira M. Soares dos Santos

The contribution of this paper is to provide a nonlinear MIMO scheme for a drying process, composed by four fuzzy controllers: Fuzzy Dehumidifier Controller (FDC-PD), Fuzzy Humidifier Controller (FHRC-PD), Fuzzy Electrical Resistance controller (FERC-PD) and Fuzzy Blower Controller (FBC-FD) and compare with results obtained previously with PID control scheme. The main aim is to allow the resear...

Journal: :Automatica 2003
Hao Ying

Deriving the analytical structure of fuzzy controllers is very important as it creates a solid foundation for better understanding, insightful analysis, and more e1ective design of fuzzy control systems. We previously developed a technique for deriving the analytical structure of the fuzzy controllers that use Zadeh fuzzy AND operator and the symmetric, identical trapezoidal or triangular input...

2012
Sankhadip Saha Mrityunjay Kumar Ray

A comparative study on performance in terms of transient time response specifications for position control of a separately excited DC Servomotor using Fuzzy logic control on PD strategy and general PD control strategy is done. Fuzzy Logic Controller (FLC) based on PD strategy is designed for both the inference mechanismsMamdani type and Takagi-Sugeno type. Robustness test for both the controlle...

2008
Vineet KUMAR Vandna GUPTA

In this paper, a comparative study was carried out to evaluate the real-time performance of fuzzy proportional-integral plus fuzzy proportional-derivative (Fuzzy PI + Fuzzy PD) controller with the real-time performance of Conventional PI for a liquid-level process experiment. The process considered for this experiment shows highly nonlinear behavior due to equal percentage pneumatic control val...

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...

2010
RAMIRO S. BARBOSA ISABEL S. JESUS MANUEL F. SILVA

In this paper, we incorporate fuzzy reasoning in fractional-order PD controllers. The resulting fuzzy fractional PD controller is investigated in terms of its digital implementation and robustness. The combined features of both algorithms will result in a better control system performance. Also, the effectiveness and robustness of the new methodology is illustrated through an application exampl...

2017
K. Harshavardhana REDDY Sudha RAMASAMY Prabhu RAMANATHAN

Article Info Abstract This paper presents a Hybrid Adaptive Neuro Fuzzy Control technique for speed control of BLDC motor drives. The proposed controller is an integration of adaptive neuro fuzzy, fuzzy PID and PD controllers. The objective is to utilize the best attribute of fuzzy PID and PD controllers, which exhibits a better response than the neuro fuzzy controllers. The error back propagat...

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