Abstract
Recent years, electronically controlled air suspension has been widely used in vehicles to improve the riding comfort and the road holding ability. This article presents a new nonlinear adaptive sliding-mode control method for electronically controlled air suspension. A nonlinear dynamical model of electronically controlled air suspension is established, where the nonlinear dynamical characteristic of the air spring is considered. Based on the proposed nonlinear dynamic model, an adaptive sliding-mode control method is presented to stabilize the displacement of electronically controlled air suspension in the presence of parameter uncertainties. Parameter adaptive laws are designed to estimate the unknown parameters in electronically controlled air suspension. Stability analysis of the proposed nonlinear adaptive sliding-mode control method is given using Lyapunov stability theory. At last, the reliability of the proposed control method is evaluated by the computer simulation. Simulation research shows that the proposed control method can obtain the satisfactory control performance for electronically controlled air suspension.
Highlights
In vehicles, the main function of the suspension system is to improve the riding comfort and the road holding ability
Based on the nonlinear dynamical model, an adaptive sliding-mode control method is presented to control the displacement of Electronically controlled air suspension (ECAS) in the presence of parameter uncertainty
Based on the control method in “Sliding-mode control of ECAS” section, an adaptive sliding-mode control of ECAS is designed in “Adaptive sliding-mode control of ECAS” section, where parameter adaptive laws are given to estimate the unknown parameters in ECAS
Summary
The main function of the suspension system is to improve the riding comfort and the road holding ability. A nonlinear adaptive sliding-mode control method of ECAS is proposed. Based on the nonlinear dynamical model, an adaptive sliding-mode control method is presented to control the displacement of ECAS in the presence of parameter uncertainty. 2. To solve the difficulty of the nonlinearity and unknown parameters, an adaptive sliding-mode control is presented for ECAS. According to equations (6) and (7), the system dynamics of ECAS are rewritten as the following state-space form model. Based on the state-space model (10), the nonlinear adaptive sliding-mode tracking control method is designed to control ECAS. To get a better description of the proposed control method, at first, we design a sliding-mode control of ECAS without considering the unknown parameters in the “Sliding-mode control of ECAS” section. Based on the control method in “Sliding-mode control of ECAS” section, an adaptive sliding-mode control of ECAS is designed in “Adaptive sliding-mode control of ECAS” section, where parameter adaptive laws are given to estimate the unknown parameters in ECAS
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