TY - JOUR
AU1 - Zhang, Rui
AU2 - Peng, Jun
AU3 - Li, Heng
AU4 - Chen, Bin
AU5 - Liu, Weirong
AU6 - Huang, Zhiwu
AU7 - Wang, Jing
AB - Pneumatic brake systems are crucial for the operation of trains. However, due to switching characteristics of on/off solenoid valves, the precise pressure control and low switching activities of valves are difficult to guarantee simultaneously during braking. To address the issue, a hybrid model predictive control (MPC) method is proposed for implementing the multi‐objective optimisation in this paper, i.e. the precise pressure tracking and the valve switching reduction. In order to model the hybrid behaviour caused by continuous dynamics of the pressure and discrete features of solenoid valves, the mixed logic dynamical system theory is applied. Then, the braking control problem is recast as a hybrid MPC problem, which jointly optimises the pressure tracking precision and the valve switching. A mixed integer linear program is formulated to solve the MPC problem in an efficient way. Both simulation and experiment results show that the accurate pressure control and low switching activities of valves can be achieved by the proposed method when compared with existing methods.
TI - A predictive control method to improve pressure tracking precision and reduce valve switching for pneumatic brake systems
JF - IET Control Theory and Applications
DO - 10.1049/cth2.12130
DA - 2021-07-01
UR - https://www.deepdyve.com/lp/wiley/a-predictive-control-method-to-improve-pressure-tracking-precision-and-9xevqB8v2q
SP - 1389
EP - 1403
VL - 15
IS - 10
DP - DeepDyve
ER -