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Developments of fuzzy PID controllers
Expert Systems, 2005Abstract: This paper describes the development and tuning methods for a novel self-organizing fuzzy proportional integral derivative (PID) controller. Before applying fuzzy logic, the PID gains are tuned using a conventional tuning method. At supervisory level, fuzzy logic readjusts the PID gains online.
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An Improved Robust Fuzzy-PID Controller With Optimal Fuzzy Reasoning
IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics), 2005Many fuzzy control schemes used in industrial practice today are based on some simplified fuzzy reasoning methods, which are simple but at the expense of losing robustness, missing fuzzy characteristics, and having inconsistent inference. The concept of optimal fuzzy reasoning is introduced in this paper to overcome these shortcomings.
Han-Xiong, Li +3 more
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2009
This chapter contains sections titled: Introduction PID Control Different Types of Fuzzy Controllers Fuzzy PI/PD Controllers as Linear PI/PD Controllers Fuzzy PI/PD Controllers as Piecewise Linear PI/PD Controllers Simplest Fuzzy PI Controller as Nonlinear Variable Gain PI Controller Another Simplest Fuzzy PI ...
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This chapter contains sections titled: Introduction PID Control Different Types of Fuzzy Controllers Fuzzy PI/PD Controllers as Linear PI/PD Controllers Fuzzy PI/PD Controllers as Piecewise Linear PI/PD Controllers Simplest Fuzzy PI Controller as Nonlinear Variable Gain PI Controller Another Simplest Fuzzy PI ...
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Comparative Study on Fuzzy PID Controller and Conventional PID Controller
Applied Mechanics and Materials, 2013PID controller is simple, stable and reliable. But the controller parameters cannot adjust themselves when the object varies. To solve the problem, this paper combined fuzzy control and PID controller, realized self-adjustment of PID parameters using fuzzy reasoning method, analysed the advantages over the traditional PID controller. The simulation was
Huan Xin Cheng +2 more
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Between fuzzy-PID and PID-conventional controllers: a good choice
Proceedings of North American Fuzzy Information Processing, 2002The main problem in the synthesis of a control system is its parameter adjustment. Fuzzy logic controllers (FLC) have been proved to be very efficient in controlling complex and difficult-to-model processes. One of the main problems of these fuzzy controllers is that there is no systematic procedure for tuning.
M. Santos +3 more
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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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Multi-stage fuzzy PID controller with a fuzzy switch
Proceedings of the 2001 IEEE International Conference on Control Applications (CCA'01) (Cat. No.01CH37204), 2002Use of a multi-stage fuzzy logic controller (MSFLC) is explored for PID feedback control. This approach blends a proportional-plus-derivative fuzzy logic controller (PDFLC) with an integral fuzzy logic input. The multi-stage structure operates on fuzzy values by passing the consequence of a prior stage onto the next stage as fact.
J.M. Adams, K.S. Rattan
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Discrete-Time Fuzzy PID Control
2015In this study, a parallel structure of fuzzy PID control systems is presented. It is associated with a new tuning method which, based on gain margin and phase margin specifications, determines the parameters of the fuzzy PID controller. In comparison with conventional PID controllers, the presented fuzzy PID controller shows higher control gains when ...
Khalid Abidi, Jian-Xin Xu
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A New PID Fuzzy Controller (Fuzzy P(I+D))
2011 International Conference on Information Management, Innovation Management and Industrial Engineering, 2011A new two-dimension PID fuzzy controller, fuzzy P(I+D) for short is put forward in this paper. The design of the fuzzy P(I+D) is simply for the reason that the control rules are the same as that of the other popular fuzzy controllers, also the structure of the fuzzy P(I+D) is similar to that of the traditional PID controllers with non-linearity.
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