Abstract:Based on the definition for form error and theory of mathematics programming, a non-linear programming model was built for form error evaluation. This non-linear model was further proved, in essence, to be a multi-target optimization problem, and could be transformed into a single-target optimization problem. A unified and efficient successive quadratic programming method (SQP algorithm) was proposed to solve these models. As these programming models were convex, and SQP algorithm could retain the non-linear information of the models during the process of calculation. So it has very loose requirement for initial parameters. The method is also stable, reliable and high-efficient. The results of several experiments of form error evaluation showed that the method fitted the requirements for convex programming's global optimization very well which proved the above-mentioned conclusion. |
Transactions of the Chinese Society for Agriculture Machinery (CSAM), in charged of China Association for Science and Technology (CAST), sponsored by CSAM and Chinese Academy of Agricultural Mechanization Science(CAAMS), started publication in 1957. It is the earliest interdisciplinary journal in Chinese which combines agricultural and engineering. It always closely grasps the development direction of agriculture engineering disciplines and the published papers represent the highest academic level of agriculture engineering in China. Currently, nearly 8,000 papers have been already published. There are around 3,000 papers contributed to the journal each year, but only around 600 of them will be accepted. Transactions of CSAM focuses on a wide range of agricultural machinery, irrigation, electronics, robotics, agro-products engineering, biological energy, agricultural structures and environment and more. Subjects in Transactions of the CSAM have been embodied by many internationally well-known index systems, such as: EI Compendex, CA, CSA, etc.
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