An ILC-Based Adaptive PI Controller for Two-Link Robot Manipulator: Minimum Entropy Approach
Skaf, Z., Ashry, M., Al-Bayati, A. (2011). An ILC-Based Adaptive PI Controller for Two-Link Robot Manipulator: Minimum Entropy Approach. EKB Journal Management System, 14(AEROSPACE SCIENCES & AVIATION TECHNOLOGY, ASAT - 14 – May 24 - 26, 2011), 1-9. doi: 10.21608/asat.2011.23287
Z. Skaf; M. Ashry; A. Al-Bayati. "An ILC-Based Adaptive PI Controller for Two-Link Robot Manipulator: Minimum Entropy Approach". EKB Journal Management System, 14, AEROSPACE SCIENCES & AVIATION TECHNOLOGY, ASAT - 14 – May 24 - 26, 2011, 2011, 1-9. doi: 10.21608/asat.2011.23287
Skaf, Z., Ashry, M., Al-Bayati, A. (2011). 'An ILC-Based Adaptive PI Controller for Two-Link Robot Manipulator: Minimum Entropy Approach', EKB Journal Management System, 14(AEROSPACE SCIENCES & AVIATION TECHNOLOGY, ASAT - 14 – May 24 - 26, 2011), pp. 1-9. doi: 10.21608/asat.2011.23287
Skaf, Z., Ashry, M., Al-Bayati, A. An ILC-Based Adaptive PI Controller for Two-Link Robot Manipulator: Minimum Entropy Approach. EKB Journal Management System, 2011; 14(AEROSPACE SCIENCES & AVIATION TECHNOLOGY, ASAT - 14 – May 24 - 26, 2011): 1-9. doi: 10.21608/asat.2011.23287

An ILC-Based Adaptive PI Controller for Two-Link Robot Manipulator: Minimum Entropy Approach

International Conference on Aerospace Sciences and Aviation Technology
Article 53, Volume 14, AEROSPACE SCIENCES & AVIATION TECHNOLOGY, ASAT - 14 – May 24 - 26, 2011, May 2011, Page 1-9  XML PDF (2.52 MB)
Document Type: Original Article
DOI: 10.21608/asat.2011.23287
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Authors
Z. Skaf1; M. Ashry2; A. Al-Bayati3
1Control Systems Center, University of Manchester, Manchester, M60 1QD, UK.
2Egyptian Armed Forces, Egypt.
3PhD Student, Control Systems Center, University of Manchester, Manchester, M60 1QD, UK.
Abstract
In this paper, a new algorithm for an adaptive proportional-Integrator (PI) controller for nonlinear systems subject to stochastic non-Gaussian disturbance is studied. The minimum entropy control is applied to decrease the closed-loop tracking error under an iterative learning control (ILC) basis. The key issue here is to divide the control horizon into a number of equal time intervals called batches. Within each intervals there are a fixed number of sample points. The design procedure is divided into two main algorithms, within each batch and between any two adjacent batches. However, within each batch the (PI) coefficients are fixed. A sufficient condition has been established to guarantee the stability of the closed-loop system. An illustrated example of two-link is included to demonstrate the use of control algorithm, and satisfactory resultshave been obtained.
 
Keywords
Entropy; nonlinear systems; iterative control
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