Results 181 to 190 of about 45,725 (208)

Fuzzy-PID controllers vs. fuzzy-PI controllers

Proceedings of IEEE 5th International Fuzzy Systems, 2002
The 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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A fuzzy PID controller being like parameter varying PID

FUZZ-IEEE'99. 1999 IEEE International Fuzzy Systems. Conference Proceedings (Cat. No.99CH36315), 1999
A fuzzy-PID controller using the minimum inference engine and center average defuzzification is analyzed and shown that it behaves approximately like a parameter varying PID controller. We then try to analyze the effect of this kind of controller when using different rule bases. Simulation results are used to demonstrate the feasibility of this method.
null Tsung-Tai Huang, null Hung-Yuan Chung, null Jin-Jye Lin   +2 more
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Hybrid fuzzy logic PID controller

Proceedings of the IEEE 1993 National Aerospace and Electronics Conference-NAECON 1993, 2002
This paper investigates two fuzzy logic PID controllers that use simplified design schemes. Fuzzy logic PD and PI controllers are effective for many control problems but lack the advantages of the fuzzy PID controller. Design methodologies are in their infancy and still somewhat intuitive.
T. Brehm, K.S. Rattan
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Stability of fuzzy PID controllers

IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans, 1998
In this paper, the stability of fuzzy PID controllers is studied. Using the passivity theorem, the stability region of the effective PID parameters can be derived and hence some sufficient conditions for a stable fuzzy controller can be obtained. With these conditions satisfied, a stable set of fuzzy rules can be designed easily.
K.C. Sio, C.K. Lee
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Incremental fuzzy expert PID control

IEEE Transactions on Industrial Electronics, 1990
An approach to intelligent PID (proportional integral derivative) control of industrial systems which is based on the application of fuzzy logic is presented. This approach assumes that one has available nominal controller parameter settings through some classical tuning technique (Ziegler-Nichols, Kalman, etc.).
S. Tzafestas, N.P. Papanikolopoulos
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Statistical fuzzy PID controller design

Proceedings of 6th International Fuzzy Systems Conference, 2002
Neural-fuzzy control techniques have been employed in semiconductor equipment and manufacturing control applications. Many successful case studies have been reported to deal with nonlinear, time-varying systems. However, the problem of excessive control actions due to random disturbances or controller over-reactions to random noise has caused ...
H.H. Li, B. Vaidhyanathan, null Shan Sun
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Fuzzy precompensation of PID controllers

Proceedings of IEEE International Conference on Control and Applications, 2002
While 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, null Seon-Woo Lee, null Kwang-Choon Kim, E.K.P. Chong   +3 more
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Adaptive Neuro-Fuzzy-PID and Fuzzy-PID-Based Controller Design for Helicopter System

2019
The paper presents designing and control of two-degree-of-freedom helicopter system, with two degrees of freedom. The helicopter is a combination of rotor motors which helps to lift the body of system. This is a nonlinear and unstable system in nature. The control techniques focused are adaptive neuro-fuzzy inference-PID and fuzzy-PID.
Rupam Singh, Bharat Bhushan
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Self-tuning fuzzy PID controller

2013 International Conference on Process Control (PC), 2013
In this paper method of design of self-tuning fuzzy PID controller is addressed, proposed and tested. Fuzzy logic is used to tune each parameter of PID controller. The proposed controller is tested in control of the concentration in the chemical reactor, manipulating its flow rate.
Jana Paulusova, Lukas Orlicky, Maria Dubravska   +2 more
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An optimal fuzzy PID controller

IEEE Transactions on Industrial Electronics, 2001
This paper introduces an optimal fuzzy proportional-integral-derivative (PID) controller. The fuzzy PID controller is a discrete-time version of the conventional PID controller, which preserves the same linear structure of the proportional, integral, and derivative parts but has constant coefficient yet self-tuned control gains. Fuzzy logic is employed
K.S. Tang, null Kim Fung Man, null Guanrong Chen, S. Kwong   +3 more
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