Paper Title:
Direct Torque Control System for Belt Conveyor Based on Improved Genetic Algorithms
  Abstract

The belt conveyor is the main transport equipments in coal field, and its controllable drive system directly impacts on the running safety reliability and cost in coal production. Starting speed is unsmoothed in the traditional electrical drive system, which causes the belt off tracking or split and even safety accident. Therefore it is theory and practical significant to introduce a novel direct torque control (DTC) system of AC machine to the belt conveyor for solving the problem in coal mine. In allusion to the optimization of PID parameters in the speed regulators of the belt conveyor, the paper presents the improved genetic algorithm based on genetic algorithms and taboo search for the design of variable parameters of PID controller, and its ability of stronger climbing and faster finding the global optimum results are verified through the De Jong function. Compared with the traditional means, the rise time of the suggested system is faster, overshoot and regulating time is shorter, anti-disturbance is stronger, robust is better. So the optimization performance of control system is improved greatly.

  Info
Periodical
Chapter
Chapter 4: Image Processing & Modeling of Materials
Edited by
Robin G. Qiu and Yongfeng Ju
Pages
443-448
DOI
10.4028/www.scientific.net/AMM.135-136.443
Citation
Z. S. Yang, "Direct Torque Control System for Belt Conveyor Based on Improved Genetic Algorithms", Applied Mechanics and Materials, Vols. 135-136, pp. 443-448, 2012
Online since
October 2011
Authors
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Tian Pei Zhou, Wen Fang Huang
Abstract:In the process of recycling chemical product in coking object, ammonia and tar were indispensable both metallurgy and agriculture, so the...
1945
Authors: Jun Zhang, Kan Yu Zhang
Chapter 19: Modeling, Analysis, and Simulation of Manufacturing Processes II
Abstract:Good dynamic performance of a system have great significance in the traditional sense, furthermore,it is more important at the point of...
4768
Authors: Si Lian Xie, Tie Bin Wu, Shui Ping Wu, Yun Lian Liu
Chapter 18: Computer Applications in Industry and Engineering
Abstract:Evolutionary algorithms are amongst the best known methods of solving difficult constrained optimization problems, for which traditional...
2846
Authors: Xue Feng Wu, Yu Fan
Chapter 6: Mechatronics
Abstract:A new algorithms for parameters of an image irregular boundary circle parameters is presented, which is based on “Curve-Approximate Method”...
639
Authors: Jian Xue Chen, Shui Yu
Chapter 4: Mechatronics and Automation Manufacturing Systems, Control Technologies
Abstract:Combining ant colony optimization (ACO) algorithm with back-propagation (BP) algorithm, the ACO-BP algorithm is proposed to optimize shift...
553