Please use this identifier to cite or link to this item: https://doi.org/10.1049/iet-cta:20050004
Title: Online automatic tuning of a proportional integral derivative controller based on an iterative learning control approach
Authors: Tan, K.K. 
Zhao, S. 
Xu, J.-X. 
Issue Date: 2007
Source: Tan, K.K.,Zhao, S.,Xu, J.-X. (2007). Online automatic tuning of a proportional integral derivative controller based on an iterative learning control approach. IET Control Theory and Applications 1 (1) : 90-96. ScholarBank@NUS Repository. https://doi.org/10.1049/iet-cta:20050004
Abstract: A new approach is proposed for closed-loop automatic tuning of a proportional integral derivative (PID) controller based on an iterative learning control (ILC) approach. The method does not require the control loop to be detached for tuning, but it requires the input of a periodic reference signal. Such a reference signal can be the natural reference signal of the control system when it is used to execute a repetitive sequence, or it can be an excitation signal purely for tuning the PID controller. A modified ILC scheme iteratively changes the control signal by adjusting the reference signal only. Once a satisfactory performance is achieved, the PID controller is then tuned by fitting the controller to yield close input and output characteristics of the ILC component. Simulation and experimental results are furnished to illustrate the effectiveness of the proposed tuning method. © The Institute of Engineering and Technology 2006.
Source Title: IET Control Theory and Applications
URI: http://scholarbank.nus.edu.sg/handle/10635/56913
ISSN: 17518644
DOI: 10.1049/iet-cta:20050004
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