Results 111 to 120 of about 2,589 (149)
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Fuzzy PID control of induction generators
IEEE 10th International Conference on Cognitive Informatics and Cognitive Computing (ICCI-CC'11), 2011Based 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
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Research and application of fuzzy PID controllers
2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery, 2010There 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 +4 more
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A hybrid neuro-fuzzy PID controller
Fuzzy Sets and Systems, 1998A 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
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Development and Analysis of a PID Controller and a Fuzzy PID
2019This 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 +3 more
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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 +3 more
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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 +3 more
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Fuzzy PID controller structures
CCECE '97. Canadian Conference on Electrical and Computer Engineering. Engineering Innovation: Voyage of Discovery. Conference Proceedings, 2002This 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
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Fuzzy precompensation of PID controllers
Proceedings of IEEE International Conference on Control and Applications, 2002While PID controllers are widely used in industrial applications, they exhibit poor performance when applied to systems containing unknown nonlinearities, such as deadzones, saturation, and hysteresis. In this paper, we propose a fuzzy logic-based precompensation approach for PID controllers. We demonstrate the performance of our scheme via experiments
null Jong-Hwan Kim +3 more
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Genetic multi-stage fuzzy PID controller with a fuzzy switch
2001 IEEE International Conference on Systems, Man and Cybernetics. e-Systems and e-Man for Cybernetics in Cyberspace (Cat.No.01CH37236), 2002A genetic algorithm is used to optimize the membership functions and rule bases of a multi-stage fuzzy PID controller with a fuzzy switch. The multistage controller uses the fuzzy switch to blend a proportional-plus-derivative fuzzy logic controller with an integral fuzzy logic input.
James M. Adams, Kuldip S. Rattan
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Optimization of a Fuzzy PID Controller
2011There 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
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Fuzzy PID Control of Microgrids
2019The purpose of this chapter is design and application of intelligent methods based on the fuzzy logic (FL) type PID controller for adaptive controlling of the microgrids. The traditional structure of the power systems is being changed continuously due to environmental limitations and depreciated infrastructures.
Hossein Shayeghi, Abdollah Younesi
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