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| Multi-objective optimization for four-bar mechanism of hydraulic support based on particle swarm optimization algorithm |
| ZHAO Dong-bo1, YAO Ling-ling2, YUAN Kun-kun1, LU Jin-gui1 |
1. School of Mechanical and Power Engineering, Nanjing Tech University, Nanjing 211816, China;
2. School of Mechanical Engineering, Donghua University, Shanghai 200051, China |
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Abstract Taking into account the problems of large error and poor stability because of the com-plicated force calculation of four-bar mechanism of coal hydraulic support,a method of particle swarm optimization is proposed to optimize the four-bar mechanism combined with the space force of the four-bar mechanism and movement trajectories.Firstly,the four-bar mechanism opti-mization model was established.Then,the parameters having greater impact on results were se-lected as the optimization variables in the optimization model, and the sum of trajectory deviation,connecting rod length and connecting rod force was taken as the objective function,and the constraints could be determined according to design specification of the hydraulic support. Lastly,the particle swarm optimization algorithm was used to solve the objective function and the penalty function method was used to solve the problems of inequality constraints in the optimization model.The purposes of lightweight,less force,high stability after the optimization of the four-bar mechanism were achieved by the comparison of rod length,stress and stability data be-fore and after optimization.The results indicate that the method has practical reference value for the design of the four-bar mechanism.
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Received: 05 April 2017
Published: 28 August 2017
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基于粒子群算法多目标优化液压支架四连杆
针对煤矿液压支架四连杆受力计算较为复杂，简化计算时易出现较大误差且稳定性较差的问题，提出从四连杆机构的空间受力出发并结合支架的运动轨迹，采用粒子群优化算法对四连杆机构展开优化研究。首先建立了四连杆优化模型，在优化模型中选取对结果影响较大的参数作为优化变量，以轨迹偏差、连杆长、连杆力之和作为目标函数，根据液压支架设计规范确定约束条件。然后使用粒子群算法对目标函数进行迭代求解并在求解过程中采用惩罚函数法解决优化模型中不等式约束问题。对比优化前后连杆的杆长、受力和稳定性数据，发现优化后的四连杆实现了轻量化，且受力较小，稳定性提高。研究结果对四连杆的设计有实际参考价值。
关键词：
液压支架四连杆,
粒子群算法,
优化
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