Beijing Key Laboratory of Optimized Design for Modern Agricultural Equipment, China Agricultural University | Laboratory of Agricultural Machinery and Production Systems Design, Division of Bi–oproduction Environmental Sciences, Department of Agro–environmental Sciences, Faculty of Agriculture, Kyushu University
Laboratory of Agricultural Machinery and Production Systems Design, Division of Bi–oproduction Environmental Sciences, Department of Agro–environmental Sciences, Faculty of Agriculture, Kyushu University
Laboratory of Agricultural Machinery and Production Systems Design, Division of Bi–oproduction Environmental Sciences, Department of Agro–environmental Sciences, Faculty of Agriculture, Kyushu University
Laboratory of Agricultural Machinery and Production Systems Design, Division of Bi–oproduction Environmental Sciences, Department of Agro–environmental Sciences, Faculty of Agriculture, Kyushu University
Laboratory of Agricultural Machinery and Production Systems Design, Division of Bi–oproduction nvironmental Sciences, Department of Agro–environmental Sciences, Faculty of Agriculture, Kyushu University
Beijing Key Laboratory of Optimized Design for Modern Agricultural Equipment, China Agricultural University | Laboratory of Agricultural Machinery and Production Systems Design, Division of Bi–oproduction Environmental Sciences, Department of Agro–environmental Sciences, Faculty of Agriculture, Kyushu University
Beijing Key Laboratory of Optimized Design for Modern Agricultural Equipment, China Agricultural University | Laboratory of Agricultural Machinery and Production Systems Design, Division of Bi–oproduction Environmental Sciences, Department of Agro–environmental Sciences, Faculty of Agriculture, Kyushu University
Beijing Key Laboratory of Optimized Design for Modern Agricultural Equipment, China Agricultural University | Laboratory of Agricultural Machinery and Production Systems Design, Division of Bi–oproduction Environmental Sciences, Department of Agro–environmental Sciences, Faculty of Agriculture, Kyushu University
It has been identified that tractor stability can be affected by multiple factors, including configurational and environmental parameters. To improve tractor stability and enhance the resistance of the tractor–implement system to exterior disturbs, three tractor physical parameters were selected as the key control factors to examine their statistical significances and to find out the corresponding desired levels. In this study, a scaled experimental system consisting of a scaled tractor–implement model, force–sensing system, random road surfaces was developed. The tractor was operated to travel forward passing over two classes of rough road. Various tractor configuration patterns were assigned following the L27 orthogonal array according to the Taguchi design of experiment. Adopting the concept of lateral–load transfer ratio, the output voltage signals of the force sensing resistors were calculated for the stability indexes basing on tractor front and rear axles. Results showed that the type of tractor front tire and the ballast weight significantly varied the ground contact condition of the front tires, while the rear track width of the tractor predominantly determined the rear–axle–based vehicle stability.
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