By Topic

Previewing control system of automatic height adjustment for drum-type coal excavator based on memory cutting with identification of object model by genetic algorithm

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Mu-Qin Tian ; Taiyuan Univ. of Technol., China ; Shi-Bo Xiong

A preview control system is applied to the process of automatic height adjustment for the roller of a drum-type coal excavator. The memory track is fully utilized as previewing information. The control problem of the lagged inertia of the coal excavator is solved in a radical way. Also, the performance index is optimized at the same time. For the preview control requests object model, we use a genetic algorithm to identify the model.

Published in:

Machine Learning and Cybernetics, 2002. Proceedings. 2002 International Conference on  (Volume:2 )

Date of Conference: