Controller design and simulation for heavy duty vehicle platooning
Driving Heavy Duty Vehicles (HDVs) as a platoon has potential to significantly reduce the fuel consumption and human labor, meanwhile increasing the safety. A suitable controller which can maintain the platoon moving in a certain topology plays a pivotal role in HDV platooning. In this dissertati...
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sg-ntu-dr.10356-760392023-07-04T15:16:22Z Controller design and simulation for heavy duty vehicle platooning Zhang, Rongkai Justin Dauwels School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering Driving Heavy Duty Vehicles (HDVs) as a platoon has potential to significantly reduce the fuel consumption and human labor, meanwhile increasing the safety. A suitable controller which can maintain the platoon moving in a certain topology plays a pivotal role in HDV platooning. In this dissertation, first a conventional PID controller for a longitudinal HDV platoon is designed and tuned for controlling the heavy duty vehicles moving in a constant distance topology or a constant distance & headway time topology. Further, an attempt is performed to design a controller using Model Predictive Control(MPC) which has the same control objectives as the PID controller for two scenarios, namely unconstrained and constrained optimization problem. Comparative simulation studies were carried out to test the performance of both the controllers with the help of MATLAB and VISSIM 8. A U.S. freeway I5 is built in VISSIM 8 and a 14-vehicle platoon is generated on this road network. VISSIM 8 gives the information of each vehicle to MATLAB, and using all the information, MATLAB calculates the desired acceleration and feeds it back to VISSIM 8 using these two control methods. Based on the simulation results, a comparison between the PID controller and MPC controller is given. The PID controller need less computational time but cannot handle with constrains. The MPC controller needs more time to solve the optimization problem, but a systematic handling of constraints yields significant improvements in the performance of the proposed MPC over PID controller. Moreover, the proposed MPC can have a good performance without too much tuning, which is better than the PID controller. Hence, according to the above mentioned advantages and disadvantages a Shiftable hybrid-controller is generalized in the end. Master of Science (Computer Control and Automation) 2018-09-24T07:11:34Z 2018-09-24T07:11:34Z 2018 Thesis http://hdl.handle.net/10356/76039 en 76 p. application/pdf |
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DRNTU::Engineering::Electrical and electronic engineering Zhang, Rongkai Controller design and simulation for heavy duty vehicle platooning |
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Driving Heavy Duty Vehicles (HDVs) as a platoon has potential to significantly
reduce the fuel consumption and human labor, meanwhile increasing the safety. A
suitable controller which can maintain the platoon moving in a certain topology
plays a pivotal role in HDV platooning. In this dissertation, first a conventional
PID controller for a longitudinal HDV platoon is designed and tuned for controlling
the heavy duty vehicles moving in a constant distance topology or a constant
distance & headway time topology. Further, an attempt is performed to design a
controller using Model Predictive Control(MPC) which has the same control objectives
as the PID controller for two scenarios, namely unconstrained and constrained
optimization problem. Comparative simulation studies were carried out to test
the performance of both the controllers with the help of MATLAB and VISSIM 8. A
U.S. freeway I5 is built in VISSIM 8 and a 14-vehicle platoon is generated on
this road network. VISSIM 8 gives the information of each vehicle to MATLAB,
and using all the information, MATLAB calculates the desired acceleration and
feeds it back to VISSIM 8 using these two control methods. Based on the simulation
results, a comparison between the PID controller and MPC controller is given.
The PID controller need less computational time but cannot handle with constrains.
The MPC controller needs more time to solve the optimization problem, but a systematic
handling of constraints yields significant improvements in the performance
of the proposed MPC over PID controller. Moreover, the proposed MPC can have
a good performance without too much tuning, which is better than the PID controller.
Hence, according to the above mentioned advantages and disadvantages a Shiftable
hybrid-controller is generalized in the end. |
author2 |
Justin Dauwels |
author_facet |
Justin Dauwels Zhang, Rongkai |
format |
Theses and Dissertations |
author |
Zhang, Rongkai |
author_sort |
Zhang, Rongkai |
title |
Controller design and simulation for heavy duty vehicle platooning |
title_short |
Controller design and simulation for heavy duty vehicle platooning |
title_full |
Controller design and simulation for heavy duty vehicle platooning |
title_fullStr |
Controller design and simulation for heavy duty vehicle platooning |
title_full_unstemmed |
Controller design and simulation for heavy duty vehicle platooning |
title_sort |
controller design and simulation for heavy duty vehicle platooning |
publishDate |
2018 |
url |
http://hdl.handle.net/10356/76039 |
_version_ |
1772828506857668608 |