Adaptive anti-windup approach for vehicle semi-active suspension

Abstract

In order to deal with the saturation problem of semi-active suspension systems in presence of a feedback controller, an adaptive anti-windup approach is introduced. Once the control signal exceeds the damper limitation, instability of the closed loop may occur. To ensure that the control signal is kept within the saturation range, an anti-windup controller is designed to maintain the closed loop stability of a robust optimal feedback controller. A Non-Model based Adaptive Controller (NMAC) is used together with the optimal feedback controller to cope with system uncertainties and nonlinearities. The proposed approach is applied to a quarter-car model with a semi-active damper, where nonlinear spring stiffness and nonlinear damper saturation are adopted. Simulation and experimental results have shown a significant improvement regarding the control performance.

Fuzzy logic control of active suspension system equipped with a hydraulic actuator

“…Alternatively, in the MRAC, a dynamic model describing the response of the suspension system is essentially required. Such a controller works to adapt the system performance based on a certain control algorithm in order to optimize the suspension system response depending on the road conditions [4][5][6].…”

Adaptive Fuzzy PID Control Strategy for Vehicle Active Suspension Based on Road Evaluation

“…In response to the complexity of the suspension system as well as the external disturbances, adaptive control strategies have been widely adopted to devise active suspension control strategies, which are mainly two specific control methods: the online self-tuning control and the model reference adaptive control. The online self-tuning control is to change the parameters of the controlled object by means of online identified system parameter design rules [4], which can enhance the certain robustness under the condition of uncertainty and non-linearity of the system parameters. The model reference adaptive control evaluates the suspension performance in real time by using a reference model established in advance, and the results are used as the basis for adaptive adjustment [5].…”