Integrated Model Predictive Control and Adaptive Unscented Kalman Filter for Semi-Active Suspension System Based on Road Classification

2020 ◽  
Author(s):  
Zhenfeng Wang ◽  
Shengjie Xu ◽  
Fei Li ◽  
Xinyu Wang ◽  
Jiansen Yang ◽  
...  
Keyword(s):  
Kalman Filter ◽  
Model Predictive Control ◽  
Predictive Control ◽  
Unscented Kalman Filter ◽  
Active Suspension ◽  
Integrated Model ◽  
Suspension System ◽  
Adaptive Unscented Kalman Filter

Explicit model predictive control of semi-active suspension systems with magneto-rheological dampers subject to input constraints

2020 ◽  
Vol 31 (9) ◽  
pp. 1157-1170 ◽  
Author(s):  
Van Ngoc Mai ◽  
Dal-Seong Yoon ◽  
Seung-Bok Choi ◽  
Gi-Woo Kim
Keyword(s):  
Model Predictive Control ◽  
Vibration Control ◽  
Predictive Control ◽  
Active Suspension ◽  
Suspension System ◽  
Computational Time ◽  
Control Input ◽  
Control Performance ◽  
Damping Force ◽  
Magneto Rheological

This article presents vibration control of a semi-active quarter-car suspension system equipped with a magneto-rheological damper that provides the physical constraint of a damping force. In this study, model predictive control was designed to handle the constraints of control input (i.e. the limited damping force). The explicit solution of model predictive control was computed using multi-parametric programming to reduce the computational time for real-time implementation and then adopted in the semi-active suspension system. The control performance of model predictive control was compared with that of a clipped linear-quadratic optimal controller, where the damping force was bound using a standard saturation function. Two types of road conditions (bump and random excitation) were applied to the suspension system, and the vibration control performance was evaluated through both simulations and experiments.

scholarly journals Application of explicit model predictive control to a vehicle semi-active suspension system

2019 ◽  
Vol 39 (3) ◽  
pp. 772-786 ◽  
Author(s):  
Zhang Houzhong ◽  
Liang Jiasheng ◽  
Yuan Chaochun ◽  
Sun Xiaoqiang ◽  
Cai Yingfeng
Keyword(s):  
Model Predictive Control ◽  
Objective Function ◽  
Predictive Control ◽  
Control Method ◽  
Active Suspension ◽  
Suspension System ◽  
Explicit Model ◽  
Damping Force ◽  
Explicit Model Predictive Control ◽  
Actuator Constraints

The vehicle semi-active suspension is a typical multiple-input multiple-output system with strong couplings, actuator constraints and fast dynamics. This paper addresses the damping force regulation of shock-absorber in vehicle semi-active suspensions using an explicit model predictive control (EMPC) approach, which allows minimizing the system control objective function while satisfying the actuator constraints. The main advantage of the proposed approach is that the control law computation requirement is low, and thus the EMPC system is suitable for implementation in a standard automotive microcontroller. The design of the EMPC system consists of mathematical modeling, objective function determination, controller formulation and simulation validation. Presented simulation results verify that a superior control performance of the vehicle semi-active suspension system is achieved by the proposed EMPC control approach compared with the performance obtained using conventional control method.

Sign in / Sign up

Export Citation Format

Share Document