Abstract
This paper describes a Multi-disciplinary Design Optimisation (MDO) formulation for the optimal control of a VVT camshaft system, and its implementation through a combination of evolutionary computation (GA) and quadratic programming. The effectiveness of the approach is demonstrated using a case study based on a 1.6 litre port fuel injection gasoline engine equipped with variable camshaft timing. The solutions generated through the application of the MDO framework are superior in terms of both quality of the calibration solution generated and computation efficiency.
Keywords: VVT Engine, Calibration optimisation, Multi-disciplinary Design Optimisation, Evolutionary Computation