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Selection of Adaptive Power Control Parameters for a Cold Milling Machine and its Simulation

School of Construction Machinery P.O. BoX 699 Chang'an University Middle of the South Erhuan Road Xi'an, ShaanXi, 710064 People's Republic of China, mapengyu{at}126.com

Yong-biao Hu

School of Construction Machinery P.O. BoX 699 Chang'an University Middle of the South Erhuan Road Xi'an, ShaanXi, 710064 People's Republic of China

Xin-rong Zhang

School of Construction Machinery P.O. BoX 699 Chang'an University Middle of the South Erhuan Road Xi'an, ShaanXi, 710064 People's Republic of China

The influence on the power consumption of the cold milling machine and the load feature of the engine are firstly analyzed. The selection of the most effective control parameter to make good use of the engine power is studied theoretically. Based on these analyses, a simulation model of the cold milling machine is designed with the software AMEsim4.2. Whether the engine power utilization of the cold milling machine is reasonable or not is verified through simulations in which the adaptive power control system is used. The results show that using the work speed of the cold milling machine as the control parameter is reasonable and effective; the engine of the milling machine can be set to work at its rated power by the self-adjustment of the adaptive power control system. In this case, the rated power utilization ratio of the engine is improved more than 10.2% and the machine productivity is raised at least 6.32% in various working conditions. The theoretical basis and novel practical methodology can be employed in utilizing the engine power and increasing the machine productivity.

Key Words: cold milling machine • adaptive power • control parameter • simulation

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SIMULATION, Vol. 83, No. 12, 843-850 (2007)
DOI: 10.1177/0037549708089111


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This Article Abstract Free Full Text (Free PDF) Free Alert me when this article is cited Alert me if a correction is posted Services Email this article to a friend Similar articles in this journal Alert me to new issues of the journal Add to Saved Citations Download to citation manager Request Permissions Request Reprints Add to My Marked Citations Citing Articles Citing Articles via Google Scholar Citing Articles via Scopus Google Scholar Articles by Ma, P.-y. Articles by Zhang, X.-r. Search for Related Content Social Bookmarking                         What's this?