Crank Block Steering Mechanism Optimization for Forklift Truck Based on Vector PSO
Crank block steering mechanism optimization, which is a nonlinear constrained optimization problem, is important for forklift truck to get preferable steering performance. Vector particle swarm optimization (VPSO) is a swarm intelligent algorithm proposed to solve constrained optimization problems with simple concept and easy implementation. Therefore, VPSO was proposed to optimize crank block steering mechanism of forklift truck in this paper, which will be intended for minimizing the maximal error of outer wheel steering angle, maximizing the minimal transmission angle and making the transmission capability of the force better. The experimental results obtained by VPSO are compared with the results obtained by enumeration algorithm which are reliable for optimization problems. The comparison results showed that vector particle swarm optimization can get same optimal results as enumeration algorithm in much less calculation times.
crank block steering mechanism of forklift truck particle swarm optimization enumeration algorithm
Chaoli Sun Jianchao Zeng Jengshyang Pan Yuanfang Tao
Complex System and Computational Intelligence Laboratory, Taiyuan University of Science and Technolo Department of Electronic Engineering, National Kaohsiung University of Applied Sciences,Kaohsiung, 8 Mechanical & Electronic Engineering College, Taiyuan University of Science and Technology,Taiyuan, S
国际会议
International Symposium on Advanced Rolling Equipment Technologies(第一届轧钢设备新技术国际研讨会 ISARET 2010)
太原
英文
43-48
2010-09-23（万方平台首次上网日期，不代表论文的发表时间）