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针对目前机电液一体化模型建立后,模型中参数难以快速准确标定的问题,把响应面思想应用于中型挖掘机这一类机电液一体化模型参数标定。采用键合图理论建立挖掘机动态数学模型,通过响应面法与遗传算法相结合,实现系统仿真模型中未知参数的自动优化与标定。研究结果表明,把响应面法与遗传算法结合起来,对挖掘机仿真模型中未知参数进行自动优化与标定,具有一定可行性,使用优化标定后的参数,模型仿真曲线与实验曲线吻合度更好。研究结果对挖掘机优化设计有指导意义。
Aiming at the problem that the parameters of the model are difficult to be calibrated quickly and accurately after the establishment of the integrated electro-hydraulic model, the idea of response surface is applied to the parameter calibration of the mechatronic model of medium-sized excavators. The dynamic mathematical model of excavator is established by using bond graph theory. The optimization and calibration of unknown parameters in the system simulation model are realized by the combination of response surface method and genetic algorithm. The results show that it is feasible to combine the response surface method and genetic algorithm to automatically optimize and calibrate the unknown parameters of the excavator simulation model. The optimized calibration parameters are used. The simulation curves of the model agree better with the experimental ones . The research results have guiding significance for excavator optimization design.