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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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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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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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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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A Fuzzy PID controller applied in AGV control system
2016 International Conference on Advanced Robotics and Mechatronics (ICARM), 2016With the rapid progress in science and technology, intelligent AGV (Automated Guided Vehicle) is more and more popular in industrial automation. However, since it is very difficult for the traditional proportional-integral-derivative (PID) to strike a balance between the static and dynamic performance of system. In order to make AGV control system more
Xinde Li, Chaomin Luo, Yefan Xu, Pei Li
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