scholarly journals An Iterative Learning Control Technique for Point-to-Point Maneuvers Applied on an Overhead Crane

2014 ◽  
Vol 2014 ◽  
pp. 1-11 ◽  
Author(s):  
Khaled A. Alhazza ◽  
Abdullah M. Hasan ◽  
Khaled A. Alghanim ◽  
Ziyad N. Masoud
Keyword(s):  
Iterative Learning Control ◽  
Equations Of Motion ◽  
Learning Control ◽  
Iterative Learning ◽  
Control Technique ◽  
Double Pendulum ◽  
Overhead Crane ◽  
Scaled Model ◽  
Low Sensitivity ◽  
Nonlinear Equations Of Motion

An iterative learning control (ILC) strategy is proposed, and implemented on simple pendulum and double pendulum models of an overhead crane undergoing simultaneous traveling and hoisting maneuvers. The approach is based on generating shaped commands using the full nonlinear equations of motion combined with the iterative learning control, to use as acceleration commands to the jib of the crane. These acceleration commands are tuned to eliminate residual oscillations in rest-to-rest maneuvers. The performance of the proposed strategy is tested using an experimental scaled model of an overhead crane with hoisting. The shaped command is derived analytically and validated experimentally. Results obtained showed that the proposed ILC control strategy is capable of eliminating travel and residual oscillations in simple and double pendulum models with hoisting. It is also shown, in all cases, that the proposed approach has a low sensitivity to the initial cable lengths.

Research on Synchronous Control Technique of the Tube Hydroforming

2012 ◽  
Vol 233 ◽  
pp. 142-145
Author(s):  
Jin Yu ◽  
Deng Xu ◽  
Guo Qing Huang
Keyword(s):  
Control Strategy ◽  
Iterative Learning Control ◽  
Tube Hydroforming ◽  
Great Influence ◽  
Learning Control ◽  
Iterative Learning ◽  
Control Technique ◽  
Important Indicator ◽  
Synchronous Control ◽  
Control Accuracy

Synchronous control accuracy of side-cylinders of the hydroforming press is a very important indicator , it has a great influence on the quality of products. Generally, people take PID control strategy to improve the precision of hydroforming press. In this paper, a mathematical model of the side-cylinders’ hydraulic system is established and the PID and iterative learning control strategy is used, respectively, to find which one is better . The results show that the iterative learning control strategy has a higher synchronous control accuracy.

scholarly journals Trajectory Tracking between Josephson Junction and Classical Chaotic System via Iterative Learning Control

2018 ◽  
Vol 8 (8) ◽  
pp. 1285 ◽  
Author(s):  
Chun-Kai Cheng ◽  
Paul Chao
Keyword(s):  
Josephson Junction ◽  
Trajectory Tracking ◽  
Iterative Learning Control ◽  
Tracking System ◽  
Learning Control ◽  
Iterative Learning ◽  
Control Technique ◽  
Rossler System ◽  
Rössler System ◽  
Two Stages

This article addresses trajectory tracking between two non-identical systems with chaotic properties. To study trajectory tracking, we used the Rossler chaotic and resistive-capacitive-inductance shunted Josephson junction (RCLs-JJ) model in a similar phase space. In order to achieve goal tracking, two stages were required to approximate target tracking. The first stage utilizes the active control technique to transfer the output signal from the RCLs-JJ system into a quasi-Rossler system. Next, the RCLs-JJ system employs the proposed iterative learning control scheme in which the control signals are from the drive system to trace the trajectory of the Rossler system. The numerical results demonstrate the validity of the proposed method and the tracking system is asymptotically stable.

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