2026-09-19T18:41:45Z https://www.ideals.illinois.edu/oai-pmh

oai:www.ideals.illinois.edu:2142/121506 2023-12-13 col_2142_5131 col_2142_16359 com_2142_5130 com_2142_16358 com_2142_234

Norris, William Robert 2023-08 application/pdf en text Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2023-12-04 without embargo terms The student, Samuel Dekhterman, accepted the attached license on 2023-07-11 at 18:32. The student, Samuel Dekhterman, submitted this Thesis for approval on 2023-07-11 at 18:37. This Thesis was approved for publication on 2023-07-21 at 07:34. DSpace SAF Submission Ingestion Package generated from Vireo submission #19636 on 2023-12-04 at 17:02:12 Hierarchical rule-base reduction fuzzy control for variable velocity path tracking Dekhterman, Samuel Ryan 2023-07-21 Differential Steer Vehicle Fuzzy Logic Pure Pursuit Asymptotic Stability Waypoint Navigation A novel waypoint navigation controller for a skid-steer vehicle, consisting of a multiple input-multiple output nonlinear angular velocity and linear speed controller, is presented. This controller, the Variable Linear Speed Fuzzy (VLSF) system, is a fuzzy controller which employs trapezoidal input membership functions with a completely symmetric rule-base. Notably, the controller utilizes Hierarchical Rule-Base Reduction (HRBR) in order to identify and select the rules most influential on state errors. This is achieved via a Fuzzy Relations Control Strategy (FRCS), which selects inputs/outputs, determines the most globally influential inputs, and generates a hierarchy of inputs. The entire operating environment was covered by the controller. However, a rule for every possible combination of variables, states, and outputs was no longer necessary. As a result, HRBR fuzzy controllers can increase the number of inputs and their associated fidelity without dramatically increasing the rule base. To contextualize the performance of the controller, a background on vehicle dynamic modeling methodologies and an in-depth explanation of the related simulation model are provided. An examination of the proposed controller is then conducted, consisting of stability analysis and testing on a set of courses. The test courses results enable an examination of the effects of steering disturbance, phase lag, and overshoot as expressed in Root Mean Square Error (RMSE), Max Error (ME), ect. Finally, simulation and real-world results of the controller's performance are compared with the results of several comparable navigation vehicle controllers: geometric pure pursuit, a simplified implementation with constant linear speed, and a Timed Elastic Band (TEB) controller. The VLSF was found to outperform the Pure Pursuit, Constant Linear Speed Fuzzy, and TEB controllers experimentally in most cases, validating the viability of the proposed controller. Text eng https://hdl.handle.net/2142/121506 Copyright 2023 Samuel Ryan Dekhterman M.S. Thesis Systems & Entrepreneurial Engr University of Illinois at Urbana-Champaign Industrial&Enterprise Sys Eng