2020
DOI: 10.1109/access.2020.3016353
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Linear-Quadratic Tracking Control of a Commercial Vehicle Air Brake System

Abstract: This paper proposes to utilize linear-quadratic tracking (LQT) control to reduce the air brake system response time and vehicle stopping distance, and hence, to significantly improve the system performance of a commercial vehicle air brake system equipped with electro-pneumatic proportional valve actuators. The nonlinear dynamic model of the air brake system, consisting of a control actuator (a proportional valve) and braking actuator (the brake chamber), is developed and linearized using the q-Markov COVarian… Show more

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Cited by 5 publications
(1 citation statement)
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“…The research of APRV has mainly focused on the control strategy and electric circuit. Hu Dawei et al proposed the MPC, LQT and LPV control models in order to reduce the response time of the pressure regulating valve in the ECPBS of commercial vehicles, which was verified by the test bench and compared with the data of a PID control model, thus effectively improving the response speed of the pressure-regulating valve and the performance of the ECPBS of commercial vehicles [14][15][16]. Bin Zhang et al, proposed a self-correcting PWM control algorithm for high-speed on/off valves to maintain and improve the original dynamic performance under changing pressures [17].…”
Section: Introductionmentioning
confidence: 99%
“…The research of APRV has mainly focused on the control strategy and electric circuit. Hu Dawei et al proposed the MPC, LQT and LPV control models in order to reduce the response time of the pressure regulating valve in the ECPBS of commercial vehicles, which was verified by the test bench and compared with the data of a PID control model, thus effectively improving the response speed of the pressure-regulating valve and the performance of the ECPBS of commercial vehicles [14][15][16]. Bin Zhang et al, proposed a self-correcting PWM control algorithm for high-speed on/off valves to maintain and improve the original dynamic performance under changing pressures [17].…”
Section: Introductionmentioning
confidence: 99%