Direct Adaptive Control for Vechicle Braking Force Maximization

A vechicle braking process with a task of minimazing a stop time is cosidered. Two issues are highlited: nonlinear and dynamic nature of braking force characteristics that is depended on brake signal like driver’s pedal pressure; minimal set and types of sensors that are required to minimize a stop time. To solve the issues, a method of a direct adaptive control is suggested. The method is based on known universal functional structure of a direct adaptive controller that contains a multilayered neural network, a dynamic error calculation and a weight adjustment algorithm. An advantage of the controller is a low requirement for requierd information about a controlled system that gives an oportunity for tasks like a vechical braking process. Results of a numerical modeling of a vechical braking process is presented.