Model Predictive Control for Speed-Dependent Active Suspension System with Road Preview Information
Qiangqiang Li1, Zhiyong Chen1, Haisheng Song2
1The State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130012, China.
Abstract:
This paper proposes a model predictive control (MPC) scheme based on linear parameter variation to enhance the damping control of speed-dependent active suspensions. The controller is developed by introducing a speed-dependent term, specifically front- and rear-wheel time delays, to the half-car model using the Padé approximation. Subsequently, the model is augmented with time-varying parameter dependence. An adaptive Kalman filter based on variance matching is employed to estimate system states affected by imprecise sensor measurement noise. Finally, a set of explicit control laws incorporating road preview information and available vehicle speed are determined offline using multi-parameter linear programming (mp-LP), simplifying online implementation to searching for optimal solutions in a lookup table. Simulation results demonstrate a significant improvement in active suspension control under changing vehicle speeds compared to passive control.
Related Concept Videos
PD Controller: Design
Designing a continuous-data controller requires selecting and linking components like adders and integrators, which are fundamental in Proportional,...
Time-Domain Interpretation of PD Control
Consider the example of control of motor torque. Initially, a positive...
Root-Locus Method
This system can be represented by a block...
Multi-input and Multi-variable systems
In the absence...
Controller Configurations
Control-system compensation involves various configurations, most commonly series or cascade compensation, in which the controller...
PID Controller


