In order to improve the control effect and robust performance of autobraking systems under overload, heat recession, and water recession, an autonomous vehicle of Chery is taken as a research subject. Parameter perturbation is investigated with a fourth dynamics perturbation model and brake perturbation model. Then, linear fractional transformations is applied to represent uncertainties and ${\mu} $ theory is used to design the controller of an autobraking system through D–K iteration. Simulation and autobraking system hardware in loop experiments are conducted to test the robustness of a ${\mu} $ controller compared with an ${H_\infty }$ controller. Simulation and experimental results show that the designed ${\mu} $ controller can reduce the impact of system parameter perturbation as well as external noise effectively, and has better robust performance than the ${H_\infty }$ controller.