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How to control and analyze the turning process of a tracked vehicle with electric transmission system is an important issue. In the paper two turning control methods are presented according to its study. The balance relations of its tractive effort and power versus radius are obtained by the calculation with using the mathematical model of basic turning dynamics and constraint conditions. The model of continuously variable radius turning is implemented by a RBF neural network which is of the better identifying ability, and the more turning results can be given from it. These turning analyses are significant for the electric transmission system.

The diesel (engine)-generator is a vital part in an electric transmission system, on which an all-electric combat vehicle (AECV) is based. How to make the modeling for an engine and control it are important issues. In the paper, firstly the diesel characteristic is identified by a neural network of radial basis function(RBF) for its modeling; secondly, it is controlled by proportional integral(PI) algorithm along two kinds of charts, namely the ones in the normal and emergent statuses respectively; finally the results analyzed are shown by simulation. The control modes and conclusions are significant in the electric transmission system in the future.