منابع مشابه
Fuzzy Gain Scheduling For Improved PID Control
The present paper describes the development of a simple yet effective gain scheduling type fuzzy PID controller algorithm that can employ fuzzy adaptation to dynamically vary conventional PID controller gain(s). While one scheme can dynamically vary the reset rate only, an even improved scheme can effectively vary both proportional gain and reset rate of a PID controller simultaneously, employi...
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This paper describes the development of a fuzzy gain scheduling scheme of PID controllers for process control. Fuzzy rules and reasoning are utilized on-line 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 ZieglerNichols controllers and Kitamori’s PID cont...
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Inherent nonlinearities like, deadband, stiction and hysteresis in control valves degenerate plant performance. Valve stiction standouts as a more widely recognized reason for poor execution in control loops. Measurement of valve stiction is essential to maintain scheduling. For industrial scenarios, loss of execution due to nonlinearity in control valves is an imperative issue that should be t...
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After the development of fuzzy logic, an important application of it was developed in control systems and it is known as fuzzy PID controllers. They represent interest in order to be applied in practical applications instead of the linear PID controllers, in the feedback control of a variety of processes, due to their advantages imposed by the non-linear behavior. The design of fuzzy PID contro...
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This paper aims to utilize fuzzy rules and reasoning to determine the controller parameters and the PID controller generates the control signal. The objective of this study is to simulate the proposed scheme on various processes and arrive at results providing better response of the system when compared with best industrial auto-tuning technique: Ziegler-Nichols. The proposed scheme is based up...
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ژورنال
عنوان ژورنال: Journal of Korean Institute of Intelligent Systems
سال: 2005
ISSN: 1976-9172
DOI: 10.5391/jkiis.2005.15.1.120