An LMI based model predictive control scheme with guaranteed /spl Hscr//sub /spl infin// performance and its application to active suspension

2004 ◽  
Author(s):  
H. Chen ◽  
C.W. Scherer
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Active Suspension ◽  
Control Scheme

scholarly journals Active Suspension with Model Predictive Control

2019 ◽  
Vol 8 (6) ◽  
pp. 2826-2831
Keyword(s):  
Model Predictive Control ◽  
Real Time ◽  
Predictive Control ◽  
Fuzzy Logic Controller ◽  
Ride Comfort ◽  
Active Suspension ◽  
Control Force ◽  
Handling Characteristics ◽  
Control Scheme ◽  
Suspension Model

This paper examines the performance of Model Predictive Control (MPC) scheme for an Active suspension. A vehicle suspension is designed to provide superior ride comfort and road handling characteristics. Unlike passive suspensions, the Active suspension can change the dynamic of suspension in real-time by injecting force into the system. MPC allows the active suspension to provide better and consistent passenger comfort and road handling capabilities for different road profile. Even though long back, the idea of active suspension conceived, the prohibitive cost and complexity restricted its usage. In recent years active suspension is receiving more and more attention with users preferring a high-end car. In an active suspension for the real-time adjustment of the control force, need a design of a controller. In literature, many controllers used such as Proportional Integral Derivative (PID), Linear Quadratic regulators (LQR), Fuzzy logic controller, Artificial Neural Networks (ANN). In this paper, revealed a model predictive control arrangement for Active suspension model. MPC is an optimal control scheme which uses a model of plant for predicting the future output. The control inputs are optimized such that these predicted outputs meet the desired level of performance. Tested the MPC control scheme is using a benchscale replica of Quarter active suspension model from QUANSER. To better appreciate the capabilities of the MPC Control Scheme, compared the performance of the active suspension with that of an LQR control scheme, and passive suspension.

scholarly journals A nonlinear tracking model predictive control scheme for dynamic target signals

Automatica ◽  
2020 ◽  
Vol 118 ◽  
pp. 109030 ◽  
Author(s):  
Johannes Köhler ◽  
Matthias A. Müller ◽  
Frank Allgöwer
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Control Scheme ◽  
Nonlinear Tracking ◽  
Tracking Model ◽  
Dynamic Target

Feasible-Cooperation Distributed Model Predictive Control Scheme Based on Game Theory*

2011 ◽  
Vol 44 (1) ◽  
pp. 386-391 ◽  
Author(s):  
Felipe Valencia ◽  
Jairo J. Espinosa ◽  
Bart De Schutter ◽  
Kateřina Staňková
Keyword(s):  
Game Theory ◽  
Model Predictive Control ◽  
Predictive Control ◽  
Distributed Model ◽  
Distributed Model Predictive Control ◽  
Control Scheme
Sign in / Sign up

Export Citation Format

Share Document