Please use this identifier to cite or link to this item: https://hdl.handle.net/11499/6302
Title: A comparative study on a novel model-based PID tuning and control mechanism for nonlinear systems
Authors: İplikçi, Serdar
Keywords: Adaptive control
Neural networks
Pid auto-tuning
Support vector machines
Adaptive Control
Autotuning
Comparative studies
Control actions
Control approach
Control mechanism
Control performance
Convergence performance
Convergence properties
Measurement Noise
Model-based
NARX models
Parameter convergence
PID controllers
PID tuning
Predictive models
Proportional integral derivatives
Simulation result
Steady state tracking
Support vector
Model predictive control
Nonlinear systems
Proportional control systems
Three term control systems
Tuning
Two term control systems
Adaptive control systems
Abstract: This work presents a novel predictive model-based proportional integral derivative (PID) tuning and control approach for unknown nonlinear systems. For this purpose, an NARX model of the plant to be controlled is obtained and then it used for both PID tuning and correction of the control action. In this study, for comparison, neural networks (NNs) and support vector machines (SVMs) have been used for modeling. The proposed structure has been tested on two highly nonlinear systems via simulations by comparing control and convergence performances of SVM-and NN-Based PID controllers. The simulation results have shown that when used in the proposed scheme, both NN and SVM approaches provide rapid parameter convergence and considerably high control performance by yielding very small transient-and steady-state tracking errors. Moreover, they can maintain their control performances under noisy conditions, while convergence properties are deteriorated to some extent due to the measurement noises. Copyright © 2009 John Wiley & Sons, Ltd.
URI: https://hdl.handle.net/11499/6302
https://doi.org/10.1002/rnc.1524
ISSN: 1049-8923
Appears in Collections:Mühendislik Fakültesi Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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