Pressure control for pneumatic electric braking system of commercial vehicle based on model predictive control

Abstract Precise braking pressure control of a pneumatic electric braking system (PEBS) poses challenging non‐linear control problems, since it can operate in several distinct discrete processes (the pressure increasing, holding and decreasing) by switching the on‐off solenoid valves and the piston...

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Autores principales:	Yongtao Zhao, Yiyong Yang
Formato:	article
Lenguaje:	EN
Publicado:	Wiley 2021
Materias:	Transportation engineering TA1001-1280 Electronic computers. Computer science QA75.5-76.95
Acceso en línea:	https://doaj.org/article/664f8380917049b181f8ecbccfdedf56
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spelling	oai:doaj.org-article:664f8380917049b181f8ecbccfdedf562021-11-11T10:16:46ZPressure control for pneumatic electric braking system of commercial vehicle based on model predictive control1751-95781751-956X10.1049/itr2.12118https://doaj.org/article/664f8380917049b181f8ecbccfdedf562021-12-01T00:00:00Zhttps://doi.org/10.1049/itr2.12118https://doaj.org/toc/1751-956Xhttps://doaj.org/toc/1751-9578Abstract Precise braking pressure control of a pneumatic electric braking system (PEBS) poses challenging non‐linear control problems, since it can operate in several distinct discrete processes (the pressure increasing, holding and decreasing) by switching the on‐off solenoid valves and the piston of relay valve moves irregularly. This article describes the development and experimental validation of a viable controller for an electronically controlled braking pressure based on the theory of model predictive control (MPC). The controller design consists of two parts. The non‐linear characteristic is first studied to ensure the pressure response of PEBS when the opening time is 4–10 ms in a fixed period, followed by calculation and prediction of the optimal on‐off time of inlet valve and release valve based on the current braking pressure to realize steady state. A logic rule is designed to ensure that the MPC controller and feedback control work coordinate to guarantee engineering reliability. A comprehensive system model is derived to help characterize system non‐linearities and design the MPC predictive model. Simulations and experimental results are presented finally to show how the MPC and feedback control strategy can be successfully applied to solve the braking pressure control of a PEBS in a systematic way.Yongtao ZhaoYiyong YangWileyarticleTransportation engineeringTA1001-1280Electronic computers. Computer scienceQA75.5-76.95ENIET Intelligent Transport Systems, Vol 15, Iss 12, Pp 1522-1532 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Transportation engineering TA1001-1280 Electronic computers. Computer science QA75.5-76.95
spellingShingle	Transportation engineering TA1001-1280 Electronic computers. Computer science QA75.5-76.95 Yongtao Zhao Yiyong Yang Pressure control for pneumatic electric braking system of commercial vehicle based on model predictive control
description	Abstract Precise braking pressure control of a pneumatic electric braking system (PEBS) poses challenging non‐linear control problems, since it can operate in several distinct discrete processes (the pressure increasing, holding and decreasing) by switching the on‐off solenoid valves and the piston of relay valve moves irregularly. This article describes the development and experimental validation of a viable controller for an electronically controlled braking pressure based on the theory of model predictive control (MPC). The controller design consists of two parts. The non‐linear characteristic is first studied to ensure the pressure response of PEBS when the opening time is 4–10 ms in a fixed period, followed by calculation and prediction of the optimal on‐off time of inlet valve and release valve based on the current braking pressure to realize steady state. A logic rule is designed to ensure that the MPC controller and feedback control work coordinate to guarantee engineering reliability. A comprehensive system model is derived to help characterize system non‐linearities and design the MPC predictive model. Simulations and experimental results are presented finally to show how the MPC and feedback control strategy can be successfully applied to solve the braking pressure control of a PEBS in a systematic way.
format	article
author	Yongtao Zhao Yiyong Yang
author_facet	Yongtao Zhao Yiyong Yang
author_sort	Yongtao Zhao
title	Pressure control for pneumatic electric braking system of commercial vehicle based on model predictive control
title_short	Pressure control for pneumatic electric braking system of commercial vehicle based on model predictive control
title_full	Pressure control for pneumatic electric braking system of commercial vehicle based on model predictive control
title_fullStr	Pressure control for pneumatic electric braking system of commercial vehicle based on model predictive control
title_full_unstemmed	Pressure control for pneumatic electric braking system of commercial vehicle based on model predictive control
title_sort	pressure control for pneumatic electric braking system of commercial vehicle based on model predictive control
publisher	Wiley
publishDate	2021
url	https://doaj.org/article/664f8380917049b181f8ecbccfdedf56
work_keys_str_mv	AT yongtaozhao pressurecontrolforpneumaticelectricbrakingsystemofcommercialvehiclebasedonmodelpredictivecontrol AT yiyongyang pressurecontrolforpneumaticelectricbrakingsystemofcommercialvehiclebasedonmodelpredictivecontrol
_version_	1718439221739388928

Pressure control for pneumatic electric braking system of commercial vehicle based on model predictive control

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