Abstract
Keywords: passenger car, intelligent control, braking system, neural networks, neural controller
The ever increasing technological demands of today call for very complex systems, which in turn require highly sophisticated controllers to ensure that high performance can be achieved and maintained under adverse conditions. In the control of these complex systems, like a passenger car's braking system, there are needs which cannot be only met by systems like ABS or ESP. Since these systems operate correctively, there is a space for improving the control of the braking system's performance. This can be done by introducing predictive abilities of braking systems. Therefore, in this paper we develop a conceptual solution for intelligent controlling of a passenger car's braking system, which would be able to satisfy complex requirements imposed to braking system now a day. The basic precondition for developing an intelligent controlled braking system is designing a controller able to control of the automotive brakes' operation. The solution for intelligent controlling of passenger vehicle's braking system presented in this study is based on so-called "model predictive control" (MPC). Based on a developed model of brakes operation, the controller of braking system operation has been designed. It has a task to enable solution to the problem of the better controlling of braking system operation in a more accurate way then it was the case now a day, by means of overtaking responsibility for controlling the application pressures of the brakes according to the driver's demands.