Robust nonlinear controller based on set propagation

Bibliography: leaves 74-[76.] === A novel control method, based on interval analysis, that optimises the control surface (or u-surface) for sampled systems with output disturbances is demonstrated on a driven pendulum with actuator constraints. The fitness function to be maximized is the probability...

Full description

Bibliographic Details
Main Author: Fish, Garron A
Other Authors: Attfield, Malcom
Format: Dissertation
Language:English
Published: University of Cape Town 2014
Subjects:
Online Access:http://hdl.handle.net/11427/5222
id ndltd-netd.ac.za-oai-union.ndltd.org-uct-oai-localhost-11427-5222
record_format oai_dc
spelling ndltd-netd.ac.za-oai-union.ndltd.org-uct-oai-localhost-11427-52222020-12-10T05:11:12Z Robust nonlinear controller based on set propagation Fish, Garron A Attfield, Malcom Electrical Engineering Bibliography: leaves 74-[76.] A novel control method, based on interval analysis, that optimises the control surface (or u-surface) for sampled systems with output disturbances is demonstrated on a driven pendulum with actuator constraints. The fitness function to be maximized is the probability of each state of the system being controlled to the setpoint without being perturbed to regions that are more iterations away from the setpoint. The u-surface is designed by finding all the states that could go to the setpoint in an interval and optimising these states. This process is repeated (backwards in time) by optimising states that go to the previously optimised states until no more states that have not been optimised are found. The proposed control method has been applied to the problem of swinging up a driven pendulum from rest to the inverted position with constraints on the torque of the motor. This method is computationally intensive and time constraints limit its current application to systems of low order. 2014-07-31T10:57:53Z 2014-07-31T10:57:53Z 2003 Master Thesis Masters MSc http://hdl.handle.net/11427/5222 eng application/pdf University of Cape Town Faculty of Engineering and the Built Environment Department of Electrical Engineering
collection NDLTD
language English
format Dissertation
sources NDLTD
topic Electrical Engineering
spellingShingle Electrical Engineering
Fish, Garron A
Robust nonlinear controller based on set propagation
description Bibliography: leaves 74-[76.] === A novel control method, based on interval analysis, that optimises the control surface (or u-surface) for sampled systems with output disturbances is demonstrated on a driven pendulum with actuator constraints. The fitness function to be maximized is the probability of each state of the system being controlled to the setpoint without being perturbed to regions that are more iterations away from the setpoint. The u-surface is designed by finding all the states that could go to the setpoint in an interval and optimising these states. This process is repeated (backwards in time) by optimising states that go to the previously optimised states until no more states that have not been optimised are found. The proposed control method has been applied to the problem of swinging up a driven pendulum from rest to the inverted position with constraints on the torque of the motor. This method is computationally intensive and time constraints limit its current application to systems of low order.
author2 Attfield, Malcom
author_facet Attfield, Malcom
Fish, Garron A
author Fish, Garron A
author_sort Fish, Garron A
title Robust nonlinear controller based on set propagation
title_short Robust nonlinear controller based on set propagation
title_full Robust nonlinear controller based on set propagation
title_fullStr Robust nonlinear controller based on set propagation
title_full_unstemmed Robust nonlinear controller based on set propagation
title_sort robust nonlinear controller based on set propagation
publisher University of Cape Town
publishDate 2014
url http://hdl.handle.net/11427/5222
work_keys_str_mv AT fishgarrona robustnonlinearcontrollerbasedonsetpropagation
_version_ 1719369872334389248