Unlike a conventional ABS system, performance of the Intel Fuzzy ABS system can be optimized with less detailed knowledge of the internal system dynamics. The software tool set combined with a linguistic approach to control implemented in the Intel Fuzzy ABS solution allows for rapid development. This tool displays system performance and can be interfaced to conventional simulators to obtain performance data. The C-Code calls optimized assembly routines on the target controller for fast performance. The following table shows the performance of several test systems on a 20MHz 8XC196Kx device.
All times shown are worst case execution results.
Conventional ABS control algorithms must account for non-linearity in brake torque due to temperature variation and dynamics of brake fluid viscosity. Also, external disturbances such as changes in frictional coefficient and road surface must be accounted for, not to mention the influences of tire wear and system components aging. These influential factors increase system complexity, in turn effecting mathematical models used to describe systems. As the model becomes increasingly complex equations required to control ABS also become increasingly complicated. Due to the highly dynamic nature of ABS many assumptions and initial conditions are used to make control achievable.