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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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