Plant error compensation and jerk control for adaptive cruise control systems

Indiana University-Purdue University Indianapolis (IUPUI) === Some problems of complex systems are internal to the system whereas other problems exist peripherally; two such problems will be explored in this thesis. First, is the issue of excessive jerk from instantaneous velocity demand changes pro...

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Bibliographic Details
Main Author: Meadows, Alexander David
Other Authors: Li, Lingxi
Language:en_US
Published: 2013
Subjects:
ACC
Online Access:http://hdl.handle.net/1805/3426
id ndltd-IUPUI-oai-scholarworks.iupui.edu-1805-3426
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spelling ndltd-IUPUI-oai-scholarworks.iupui.edu-1805-34262019-05-10T15:21:06Z Plant error compensation and jerk control for adaptive cruise control systems Meadows, Alexander David Li, Lingxi Chen, Yaobin Widmann, Glenn R. King, Brian System Identification Jerk Control Jerk Limitation Plant Error Error Compensation Plant Corruption Plant Model System ID ACC Adaptive Cruise Control Coupled problems (Complex systems) System identification Feedback control systems Control theory -- Mathematical models Error analysis (Mathematics) Process control -- Automation Simulation methods -- Research Indiana University-Purdue University Indianapolis (IUPUI) Some problems of complex systems are internal to the system whereas other problems exist peripherally; two such problems will be explored in this thesis. First, is the issue of excessive jerk from instantaneous velocity demand changes produced by an adaptive cruise control system. Calculations will be demonstrated and an example control solution will be proposed in Chapter 3. Second, is the issue of a non-perfect plant, called an uncertain or corrupted plant. In initial control analysis, the adaptive cruise control systems are assumed to have a perfect plant; that is to say, the plant always behaves as commanded. In reality, this is seldom the case. Plant corruption may come from a variation in performance through use or misuse, or from noise or imperfections in the sensor signal data. A model for plant corruption is introduced and methods for analysis and compensation are explored in Chapter 4. To facilitate analysis, Chapter 2 discusses the concept of system identification, an order reduction tool which is employed herein. Adaptive cruise control systems are also discussed with special emphasis on the situations most likely to employ jerk limitation. 2013-08-14T16:18:22Z 2013-08-14T16:18:22Z 2013-08-14 http://hdl.handle.net/1805/3426 en_US
collection NDLTD
language en_US
sources NDLTD
topic System Identification
Jerk Control
Jerk Limitation
Plant Error
Error Compensation
Plant Corruption
Plant Model
System ID
ACC
Adaptive Cruise Control
Coupled problems (Complex systems)
System identification
Feedback control systems
Control theory -- Mathematical models
Error analysis (Mathematics)
Process control -- Automation
Simulation methods -- Research
spellingShingle System Identification
Jerk Control
Jerk Limitation
Plant Error
Error Compensation
Plant Corruption
Plant Model
System ID
ACC
Adaptive Cruise Control
Coupled problems (Complex systems)
System identification
Feedback control systems
Control theory -- Mathematical models
Error analysis (Mathematics)
Process control -- Automation
Simulation methods -- Research
Meadows, Alexander David
Plant error compensation and jerk control for adaptive cruise control systems
description Indiana University-Purdue University Indianapolis (IUPUI) === Some problems of complex systems are internal to the system whereas other problems exist peripherally; two such problems will be explored in this thesis. First, is the issue of excessive jerk from instantaneous velocity demand changes produced by an adaptive cruise control system. Calculations will be demonstrated and an example control solution will be proposed in Chapter 3. Second, is the issue of a non-perfect plant, called an uncertain or corrupted plant. In initial control analysis, the adaptive cruise control systems are assumed to have a perfect plant; that is to say, the plant always behaves as commanded. In reality, this is seldom the case. Plant corruption may come from a variation in performance through use or misuse, or from noise or imperfections in the sensor signal data. A model for plant corruption is introduced and methods for analysis and compensation are explored in Chapter 4. To facilitate analysis, Chapter 2 discusses the concept of system identification, an order reduction tool which is employed herein. Adaptive cruise control systems are also discussed with special emphasis on the situations most likely to employ jerk limitation.
author2 Li, Lingxi
author_facet Li, Lingxi
Meadows, Alexander David
author Meadows, Alexander David
author_sort Meadows, Alexander David
title Plant error compensation and jerk control for adaptive cruise control systems
title_short Plant error compensation and jerk control for adaptive cruise control systems
title_full Plant error compensation and jerk control for adaptive cruise control systems
title_fullStr Plant error compensation and jerk control for adaptive cruise control systems
title_full_unstemmed Plant error compensation and jerk control for adaptive cruise control systems
title_sort plant error compensation and jerk control for adaptive cruise control systems
publishDate 2013
url http://hdl.handle.net/1805/3426
work_keys_str_mv AT meadowsalexanderdavid planterrorcompensationandjerkcontrolforadaptivecruisecontrolsystems
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