Paper Title:
Simulated Annealing Optimization of Belt Conveyor Transmission
  Abstract

The belt conveyor is a transporting machine by friction in a continuous manner. The two order helical gearing reducer may be generally used as conveyor transmission, and can reduce speed and increase torque of belt. The objective function may be specified that that total center distance of the reducer incline to minimum, so the optimization model including the property and boundary constraints is created. Then the objective function with penalty terms is converted by penalty strategy with addition type, so as to transform the constrained optimization into the unconstrained optimization model. Considering the problem of low efficiency and local optimum caused by standard optimization methods, the simulated annealing algorithm is adopted to solve the optimization model of Belt Conveyor Transmission, and neural network method is applied to fit relative coefficient, then BFGS Quasi-Newton method is recalled automatically when the setting working precision is achieved again. So that the optimization process is simplified and global optimum is acquired reliably.

  Info
Periodical
Advanced Materials Research (Volumes 113-116)
Edited by
Zhenyu Du and X.B Sun
Pages
2373-2378
DOI
10.4028/www.scientific.net/AMR.113-116.2373
Citation
J. B. Ding, "Simulated Annealing Optimization of Belt Conveyor Transmission", Advanced Materials Research, Vols. 113-116, pp. 2373-2378, 2010
Online since
June 2010
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: Yong Xian Li, Bin Wang, Guang Ping Peng
Abstract:A new intelligent orthogonal optimization algorithm for robust design is proposed in order to improve accuracy and efficiency. The next...
301
Authors: Da Wang, Hong Yu Bian
Chapter 1: Mechatronics
Abstract:In order to further improve the accuracy of the sonar image registration, a novel hybrid algorithm was proposed. It proposed the normalized...
1811
Authors: Wei Hua Fang
Chapter 6: Applied Mechanics
Abstract:In order to obtain geotechnical engineering material mechanical parameters correctly by using back analysis and overcome shortcoming of...
1647
Authors: Bei Zhan Wang, Xiang Deng, Wei Chuan Ye, Hai Fang Wei
Chapter 13: Mechanical Control and Information Processing Technology
Abstract:The particle swarm optimization (PSO) algorithm is a new type global searching method, which mostly focus on the continuous variables and...
1787
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