By Topic

Improving energy efficiency in material transport systems by fuzzy speed control

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
$33 $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)
Y. Pang ; Section Transport Engineering and Logistics, Delft University of Technology, Building 34, Mekelweg 2, 2628CD, the Netherlands ; G. Lodewijks

Belt conveyors are widely applied for industrial material transport and logistics distribution. In general, belt conveyors run at nominal belt speed. The belt can be only partly filled when received material flow is smaller than the nominal conveying capacity. Researches have shown that conveyor speed control always leads to the reduction of the required electrical drive power. Current applications mainly focus on developing control models and implementing controllers for continuous speed adjustment. However, for practical reasons discrete control is preferred. This paper presents a fuzzy control method to improve the energy efficiency in material transport. This method applies fuzzy logic to represent the alteration of material flow scenarios. Fuzzy control algorithm provides optimal adjustment of belt speed to avoid potential material spillage and overload caused by short-term peaks of material loading rate. The improvement of energy efficiency is estimated by both simulation and practical measurement.

Published in:

3rd IEEE International Symposium on Logistics and Industrial Informatics

Date of Conference:

25-27 Aug. 2011