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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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Hardware Implementation of Fuzzy PID Controllers
Fuzzy Optimization and Decision Making, 2006For 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 +4 more
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Fuzzy gain scheduling of PID controllers
IEEE Transactions on Systems, Man, and Cybernetics, 1993This 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 +2 more
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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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Fuzzy-PID controllers vs. fuzzy-PI controllers
Proceedings of IEEE 5th International Fuzzy Systems, 2002The synthesis of a control system includes both the controller selection and the adjustment of its parameters. In some cases, the type of controller might be more complex or more general, like PID instead PI or PD, to improve the control system performance. In all cases, the tuning problem must be satisfactorily solved. On the other hand, fuzzy control
M. Santos, S. Dormido, J.M. de la Cruz
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Fuzzy PID control in the process control
2012 International Symposium on Instrumentation & Measurement, Sensor Network and Automation (IMSNA), 2012This paper introduces the advantages and disadvantages of traditional PID control and fuzzy control technology, and discusses the excellent characteristics of fuzzy PID control and the reasons which are suitable for applying in industrial process, The paper further presents the design method and realization process of PID parameters of self-tuning ...
Dingxue Zhang, Zhen Xu
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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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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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