Dimirovski, Georgi M. (Dogus Author) -- Conference full title: American Control Conference, 2009: ACC '09; 10 - 12 June 2009, St. Louis, MO, USA; Annual Conference of the American Automatic Control Council.In this paper, the state equation for the dynamics of quarter car is established, and the nonlinear Antilock braking system is transformed into linear uncertain system model. So the stability problem of nonlinear Antilock braking systems becomes the robust stability problem of linear uncertain systems. Sliding mode control approach is employed to guarantee robust stability of linear uncertain systems. The stable sliding surface is designed by using linear matrix inequalities (LMI) to reduce the influence of mismatched uncertainties. Moreover the design of sliding mode control law is presented also. The system robust stability can be guaranteed and the chattering around the sliding surface in sliding mode control is obviously reduced by the proposed approach

Dimirovski, Georgi M. (Dogus Author) -- Conference full title: 2010 14th International Power Electronics and Motion Control Conference (EPE/PEMC 2010) : Ohrid, Macedonia, 6 - 8 September 2010A sliding mode controller employing the RBF neural network is designed for the anti-lock braking system in automotive technology according to the requirement that the braking process must be fast and robust. The usual drawback of control chattering occurred in the classical sliding mode control can be alleviated with the proposed control scheme. Also the robustness of adaptive control system employing neural network is improved to some extent. Simulation investigation for scenario of vehicle activating brakes on dry road situation is carried out using Matlab/Simulink platform. Simulation results demonstrate both feasibility and effectiveness of the proposed ABS control scheme.ELEM, Repub. Macedonia Chamb. Certif. Archit. Certif. Eng

The sliding mode controller is presented for automotive Anti-lock Braking System (ABS), and the drawback of control chattering occurred in the classical sliding mode control can be alleviated with the proposed control scheme. Moreover, the robustness of neural network adaptive control system can be improved to some extent. Simulation research is performed to the vehicles brake on the wet road situation, and simulation results show the effectiveness and feasibility of the proposed scheme.

Dimirovski, Georgi M. (Dogus Author) -- Conference full title: American Control Conference, 2009 : ACC'09; 10-12 June 2009, St. Louis, MO, USA ; Annual Conference of the American Automatic Control CouncilIn this paper, the state equation for the dynamics of quarter-car is established, and a stable robust sliding mode control law based on RBF neural network is presented for the vehicle slip ratio control. In addition, a moving sliding surface based on global sliding mode control is presented. Unlike the conventional sliding mode control, the moving sliding surface moves to the desired sliding surface from the initial condition and thus fast tracking can be obtained. The strategy can eliminate the reaching phase from conventional sliding mode control, and guarantee the system robustness during the whole control process. The drawback of control chattering occurred in the classical sliding mode control can be alleviated with the proposed control scheme. Simulations are performed to demonstrate the effectiveness of the proposed controller