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Applications of Sequential Quadratic Programming to the Optimization of Powertrain Concept Design
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Abstract
PET (Powertrain Engineering Tool) [1, 2] is based on an object-oriented hierarchy system and therefore each component (parent) has its own sub-component (child) systems. Developing explicit forms of objective functions and constraints is simple due to the object-oriented component system of PET. This system automatically recognizes the geometry of components and related design functions in its sub-component levels. This paper discusses computational efficiency, solution accuracy and robustness of software when using closed-form representatives of the derivatives of objective functions and constraints in sequential quadratic programming. Examples of generating closed-form representatives of the derivatives of objective functions and constraints in C/FORTRAN language syntax by using a symbolic processor, Mathematica [3], and mass reduction of the piston-pin are also presented.
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Citation
Mikulec, A., Lee, S., McCallum, J., and Vrsek, G., "Applications of Sequential Quadratic Programming to the Optimization of Powertrain Concept Design," SAE Technical Paper 970924, 1997, https://doi.org/10.4271/970924.Also In
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