Adaptive Control Strategies for Electro-Mechanical Brakes

In this work, an adaptive control strategy for electro-mechanical brakes based on an optimized generalized predictive control is proposed. The control strategy is so defined. A parametric identification of the system transfer function is real-time implemented in order to provide the controller with the needful parameters for the control action. Moreover, an off-line optimization of design parameters (e.g. control horizon, prediction horizon, weights associated to different parts of the J functional, etc.) driven by stochastic searching algorithms (such as Evolution Strategies, Particle Swarm Optimization Algorithm, Differential Evolutions, etc.) is used to improve the control system robustness when system deviations from nominal operating conditions occur. Our approach has been validated on ABS (Anti-lock Brake System) braking patterns which are considered the most stressing patterns for electro-mechanical brakes.