Results 151 to 160 of about 4,408 (190)

Adaptive fuzzy tuning of PID controllers

Neural Computing and Applications, 2012
In this paper, the performances of fuzzy proportional-integral-derivative (PID) and classic PID controllers are compared through simulation studies. For this purpose, the level control of a two interacting tanks system, temperature control of unstable continuous stirred tank reactor (CSTR), and pH control of pH neutralization process were selected.
Morteza Esfandyari, Mohammad Ali Fanaei, Hadi Zohreie   +2 more
openaire   +1 more source

A Comparison of Fuzzy-PID Controller, Fuzzy Logic Controller and PID Controller of an Autonomous Robot

2021
Recently, autonomous mobile robots have been increasingly developed for many applications related with surveillance, transportation, and inspection. This paper introduces an autonomous robot motion control based on PID, Fuzzy, and Fuzzy-PID controllers. The experiment is implemented on a mobile robot to compare the performances among three controllers.
Thi Thoa Mac, Nguyen Cao Thanh, Nguyen Cao Cuong, Nguyen Cong Hoang   +3 more
openaire   +1 more source

Hardware Implementation of Fuzzy PID Controllers

Fuzzy Optimization and Decision Making, 2006
For traditional hardware implementation of fuzzy PID controllers, it is large at computation and bad in real-time performance, so, a kind of PID control algorithm, whose gain parameters could be tuned by their fuzzy system, was selected as studying example for a novel idea of hardware implementation. In this paper, authors presented hardware network of
Taifu Li, Jundi Xiong, Rui Zhang 0011, Qifu Tan, Ruizheng Xu   +4 more
openaire   +1 more source

Fuzzy gain scheduling of PID controllers

IEEE Transactions on Systems, Man, and Cybernetics, 1993
This paper describes the development of a fuzzy gain scheduling scheme of PID controllers for process control. Fuzzy rules and reasoning are utilized online to determine the controller parameters based on the error signal and its first difference. Simulation results demonstrate that better control performance can be achieved in comparison with Ziegler ...
Zhen-Yu Zhao, Masayoshi Tomizuka, Satoru Isaka   +2 more
openaire   +1 more source

Development and Analysis of a PID Controller and a Fuzzy PID

2019
This document presents the development of a Proportional Integral Derivative (PID) and a Fuzzy-PID, for the control of the level of the MPS PA plant, which is constituted by industrial sensors and actuators. The mathematical model and the parameters of the system were obtained using the software the MATLAB environment using a STM32F4 card.
Morelva Saeteros, Wilman Paucar, Cristian Molina, Gustavo Caiza   +3 more
openaire   +1 more source

Fuzzy PID control of induction generators

IEEE 10th International Conference on Cognitive Informatics and Cognitive Computing (ICCI-CC'11), 2011
Based on wind-turbine character analyzing, maximum wind energy tracking is selected as active power control target. A method of using fuzzy logic principles to deduce optimum turbine speed was proposed, to keep optimum tip speed rate operating without the wind velocity measurement.
Zhiming Yang, Xiaorong Wang
openaire   +1 more source

Research and application of fuzzy PID controllers

2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery, 2010
There are Z - N oscillation method and reaction curve and so on in based methods classical approaches. In fuzzy PID auto-tuner conventional gain scheduling involves using extra information from the plant, environment, or user to tune (via “schedules”) the gains of a controller.
Yanchang Liu, Shaohua Sun, Jiasheng Zhang, Yang Liu, Junxue Gai   +4 more
openaire   +1 more source

A hybrid neuro-fuzzy PID controller

Fuzzy Sets and Systems, 1998
A hybrid neuro-fuzzy control strategy and its corresponding rule generating approach is proposed. According to this approach, the fuzzy control rules can be generated automatically via fuzzy inputs, and then the appropriate control action can be deduced efficiently by a simplified fuzzy inference engine.
Min-You Chen, Derek A. Linkens
openaire   +1 more source

Fuzzy PID controller structures

CCECE '97. Canadian Conference on Electrical and Computer Engineering. Engineering Innovation: Voyage of Discovery. Conference Proceedings, 2002
This paper provides a systematic procedure for designing fuzzy PID controllers. The fuzzy nonlinear mapping with respect to error, error change and rate of error change is analyzed to produce different fuzzy PID controller structures. The design procedure is identified as a two-level tuning problem.
G.K.I. Mann, B.-G. Hu, R.G. Gosine
openaire   +1 more source

Optimization of a Fuzzy PID Controller

2011
There are strong nonlinear characteristics in an active magnetic bearing (AMB) system. For a simple magnetic levitation ball model with one degree of freedom (DOF), there are problems that are difficult to be solved by using linear control methods (such as PID control method).
Dongxu Liu, Kai Zhang, Jinping Dong
openaire   +1 more source