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The paper deals with increasing performance of a sports car through multicriteria optimization of driver actions (14 decision variables describing application of steering wheel, brake and accelerator pedals). Numerical example considers extreme negotiation of a RH corner (medium grip) with LADA 2105 VFTS (RWD, 106HP) prepared for road racing. Model (called “miMa”) of the vehicle with 26 state variables and 420 parameters was formulated and verified on the basis of road tests. The optimization goal function includes two criteria, i.e. section time and exit velocity. Different driving strategies giving an improvement are found. Changing the driving strategy, according to the obtained optimization results (no21) utilizing genetic algorithms, the section time (tAB) can be reduced by 2.5% and the exit velocity (vB) can increased by 3.5%, what in a competition reality gives a tremendous progress. Formulated “miMA” soft enables also combined optimization of driver actions, vehicle chassis parameters and motion trajectory.
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