scholarly journals Gain-Scheduled Model Predictive Control for a Commercial Vehicle Air Brake System

Processes ◽  
2021 ◽  
Vol 9 (5) ◽  
pp. 899
Author(s):  
Dawei Hu ◽  
Gangyan Li ◽  
Feng Deng
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Pid Controller ◽  
Commercial Vehicle ◽  
Chamber Pressure ◽  
Nonlinear Mathematical Model ◽  
Proportional Valve ◽  
Linear Parameter Varying ◽  
Air Brake System ◽  
Gain Scheduled

This paper presents a control-oriented Linear Parameter-Varying (LPV) model for commercial vehicle air brake systems with the electro-pneumatic proportional valve based on the nonlinear mathematical model, a set of discrete-time linearized models at different target pressures with the q-Markov Cover system identification method. The scheduled parameters for the LPV model were the brake chamber pressure, which was controlled by the electro-pneumatic proportional valve. On the basis of the LPV model, a family of Model Predictive Control (MPC) controllers with a Kalman filter was designed at each operation point. Then, the gain-scheduled MPC was designed over the entire operating range with the switched strategy, which was validated by experimental data. Furthermore, compared with the PID controller, the performance of the system was improved with a gain-scheduled MPC controller.

scholarly journals A Control-Oriented Linear Parameter-Varying Model of a Commercial Vehicle Air Brake System

2020 ◽  
Vol 10 (13) ◽  
pp. 4589 ◽  
Author(s):  
Dawei Hu ◽  
Gangyan Li ◽  
Guoming Zhu ◽  
Zihao Liu ◽  
Yingxu Wang
Keyword(s):  
Nonlinear Model ◽  
Commercial Vehicle ◽  
Force Balance ◽  
Brake System ◽  
Chamber Pressure ◽  
System Response ◽  
Linear Parameter ◽  
Linear Parameter Varying ◽  
Parameter Varying ◽  
Air Brake System

This paper presents a control-oriented LPV (Linear Parameter-Varying) model for commercial vehicle air brake systems, where a pneumatic valve actuator is used to control the brake chamber pressure. To improve the brake system response time and reduce the vehicle stopping distance, the traditional treadle valves used in the air brake system are replaced by electro-pneumatic valves. Also, to develop the model-based brake control strategy, a nonlinear mathematical model is developed based on Newton’s second law, fluid dynamics of the orifice, force balance of spool, and solenoid dynamic characteristics. The brake chamber dynamics is also considered during the charging and discharging processes. The developed nonlinear model is calibrated based on both valve actuator geometry and test bench experimental results. It is proposed to model the nonlinear system in the LPV form so that gain-scheduling controllers can be developed. To obtain the LPV model, system identification is conducted using the calibrated nonlinear model to obtain a set of linearized models under different brake chamber pressure levels, and the resulting identified linear models are assembled to form the LPV model with brake chamber pressure as the varying parameters. A linear infinite-horizon continuous-time LQR (Linear Quadratic Regulator) controller was designed for the braking system based on the developed LPV model with the fixed parameter to demonstrate the effectiveness of the developed LPV model.

Adaptive PID controller based on model predictive control

2016 ◽  
Author(s):  
Ahmed A. Abdelrauf ◽  
M. Abdel-Geliel ◽  
E. Zakzouk
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Pid Controller

Linear Parameter Varying Model Predictive Control of a High-Speed Projectile

2022 ◽  
Author(s):  
Joshua Bryson ◽  
Benjamin C. Gruenwald
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
High Speed ◽  
Linear Parameter ◽  
Linear Parameter Varying ◽  
Parameter Varying

A Stabilizing Sub-Optimal Model Predictive Control for Quasi-Linear Parameter Varying Systems

2020 ◽  
Vol 4 (2) ◽  
pp. 402-407 ◽  
Author(s):  
Sammyak Mate ◽  
Hariprasad Kodamana ◽  
Sharad Bhartiya ◽  
P. S. V. Nataraj
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Linear Parameter ◽  
Optimal Model ◽  
Linear Parameter Varying ◽  
Linear Parameter Varying Systems ◽  
Parameter Varying

Time-Varying Model Predictive Control of a Reversible-SOC Energy-Storage Plant Based on the Linear Parameter-Varying Method

2020 ◽  
Vol 11 (3) ◽  
pp. 1589-1600 ◽  
Author(s):  
Xuetao Xing ◽  
Jin Lin ◽  
Nigel Brandon ◽  
Aayan Banerjee ◽  
Yonghua Song
Keyword(s):  
Energy Storage ◽  
Model Predictive Control ◽  
Predictive Control ◽  
Time Varying ◽  
Linear Parameter ◽  
Linear Parameter Varying ◽  
Parameter Varying
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