An Application of Multiobjective Optimization Genetic Algorithm for Cart-Double-Pendulum-System Control

Author(s):  
Tung-Kuan Liu ◽  
Yao-Chun Shen ◽  
Zu-shu Li
Author(s):  
Gabriel Herman Bernardim Andrade ◽  
Gilberto Reynoso Meza ◽  
Leandro Coelho ◽  
Alisson Ravaglio Santos

Author(s):  
Ziyad N. Masoud ◽  
Khalid A. Alhazza ◽  
Majed A. Majeed ◽  
Eiyad A. Abu-Nada

A gantry cranes is generally modeled as a simple-pendulum with a point mass attached to the end of a massless rigid link. Numerous control systems have been developed to reduce payload oscillations in order to improve safety and positioning accuracy of crane operations. However, large-size payloads transforms the crane model from a simple-pendulum system to a double-pendulum system. Control systems that consider only one mode of oscillations of a double-pendulum may excite large oscillations in the other mode. In multi-degrees-of-freedom systems, command-shaping controllers designed for the first mode may eliminate oscillations of higher modes provided that their frequencies are odd integer multiples of the first mode frequency. In this work, a hybrid command-shaping controller is designed to generate acceleration commands to suppress travel and residual oscillations of a highly accelerated double-pendulum gantry crane. It is shown that the suggested hybrid command-shaper is capable of minimizing oscillations of both modes of a scaled experimental double-pendulum model of a gantry crane. Results show that the hybrid command-shaper produces a reduction of 95% in residual oscillations in both modes of the double-pendulum over the time-optimal rigid-body commands.


2018 ◽  
Vol 6 (6) ◽  
pp. 624-642 ◽  
Author(s):  
Iman Ebrahimi Ghoujdi ◽  
Hasti Hadiannasab ◽  
Mokhtar Bidi ◽  
Abbas Naeimi ◽  
Mohammad Hossein Ahmadi ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document