| Mechanical Engineering |
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| Optimal design of asymmetric steering mechanism based on quantum behaved particle swarm optimization algorithm |
| LV Mao yin1, XU Yue tong1, YE Guo yun2,YAO Xin hua1 |
| 1. Zhejiang Province Key Laboratory of Advanced Manufacturing Technology, Zhejiang University,Hangzhou 310027, China；2. Ningbo Ruyi Group Limited Comparry, Ningbo 315600, China |
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Abstract A hydraulic control asymmetric steering mechanism(ASM) which is applicable to the four way forklift truck was presented for instability and poor capacity of overload protection of the four way forklift truck electronic control steering system. The ASM can not only meet the 90° turning in which the four way forklift truck will perform a vertical lateral steering, but also effectively avoid the “dead point” phenomenon in the process of steering. A steering kinematics mathematical model was constructed in order to reduce the movement resistance, tire wear and the anti force acting on the lateral steering oil cylinder in the steering process. The ASM’s optimization model was established to approach the Ackermann steering. Then the ASM’s size and positional parameters were optimized by the use of quantum behaved particle swarm optimization (QPSO) algorithm. Results showed that the minimum turning radius was reduced12.7% and ASM’s overall performance was improved 28%.
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Published: 01 February 2016
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基于量子行为粒子群的非对称转向机构优化
针对四向叉车电控式转向系统转向不稳定及过载保护能力差的缺陷,提出适用于四向叉车的液控式非对称转向机构.该机构既能满足四向叉车纵向 横向行驶之间的90°切换,又能有效规避切换过程中的“死点”现象.为了减小转向过程中四向叉车的行驶阻力、轮胎磨损以及横向转向油缸所受的侧偏力,建立非对称转向机构的转向运动数学模型;以接近Ackermann理想转向为优化目标,建立非对称转向机构的优化模型;采用量子行为粒子群优化（QPSO）算法优化非对称转向机构的尺寸以及定位参数.结果表明,优化后的非对称转向机构最小转弯半径减小12.7%,整体性能提高28%.
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