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International Standard Serial Number:
ISSN 1001-4551
Sponsor:
Zhejiang University;
Zhejiang Machinery and Electrical Group
Edited by:
Editorial of Journal of Mechanical & Electrical Engineering
Chief Editor:
ZHAO Qun
Vice Chief Editor:
TANG ren-zhong,
LUO Xiang-yang
Tel:
86-571-87041360,87239525
Fax:
86-571-87239571
Add:
No.9 Gaoguannong,Daxue Road,Hangzhou,China
P.C:
310009
E-mail:
meem_contribute@163.com
Abstract: In order to solve the problems of insufficient consideration of the actual efficiency characteristics in the design stage of the hydrostatic transmission system of agricultural and forestry machinery, and the difficulty of parameter identification due to the unknown range of parameter variation in the efficiency characteristics modeling, the matching design, the parameter identification of the efficiency characteristics model and the influence of the reducer transmission ratio were studied.First of all, aiming at the "variable pump-constant motor" power transmission system of a certain type of forest fruit picking machinery, the required power was estimated based on the resistance characteristics of the whole machine when driving on soft soil road, and the variable pump and constant motor models were matched. And then, an improved Monte Carlo method (I-MCM) with adaptive change of decision variables was proposed. According to the bench test data of selected hydrostatic system, the efficiency characteristics model of hydrostatic system was established by parameter identification method. Meanwhile, the model was compared with Monte Carlo method and improved particle swarm optimization algorithm. Finally, based on the established efficiency characteristics model, the influence of the design value of reducer transmission ratio on the energy consumption of the whole machine was analyzed. The results show that I-MCM can still effectively complete parameter identification when the range of parameter variation is uncertain, and the model error after identification is 4.05%. The transmission ratio of the reducer affects the efficiency characteristics of the hydrostatic system in the process of using the whole machine. In the range of the transmission ratio design value, the two are inversely correlated. The average transmission efficiency of the optimal design scheme is 81.45%, which is 10.53% higher than the worst design scheme. The research can provide reference for characteristic evaluation and optimization design of agricultural and forestry machinery or construction machinery.
Key words: forestry machinery; mechanical transmission system; improved Monte Carlo Method(I-MCM); speed regulation characteristic; parameter identification; selection of hydraulic system
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