Адаптивное управление амортизатором с магнитореологической жидкостью в подвеске автомобиля

Abstract

The disadvantages of car suspension control systems include their inability to function with uncertainty of the suspension parameters and external disturbances, as well as the impossibility of quickly countering the latter. A new suspension control algorithm is proposed, which is able to reduce the impacts on the vehicle body from the road as well as inertial forces under the uncertainty of these parameters. The algorithm is adaptive and is based on the parametric identification of the mathematical model of the controlled object, performed by the control system in real time, and also on the use of an implicit reference model. A shock absorber with a magnetorheological fluid acts as a controlled element, which is capable of changing the degree of suspension damping. On the example of a two-mass model of the "quarter car" suspension, a model study of the effectiveness of the developed algorithm in comparison with a passive suspension was carried out. The results of the study showed the ability of the proposed adaptive suspension control algorithm to function under the current a priori uncertainty, improving the properties of the suspension in the low frequency range, which is most important for ensuring comfortable conditions for the driver and passengers.