A systematic, well-formulated control system design and modeling paradigm based on perceived system traits

Permanent URL: http://hdl.handle.net/2047/D20324042
Title:
A systematic, well-formulated control system design and modeling paradigm based on perceived system traits
Creator:
Candelino, Nicholas William (Author)
Contributor:
Jalili, Nader (Advisor)
Sipahi, Rifat (Committee member)
Sznaier, Mario (Committee member)
Language:
English
Publisher:
Boston, Massachusetts : Northeastern University, 2019
Date Accepted:
August 2019
Date Awarded:
August 2019
Type of resource:
Text
Genre:
Dissertations
Format:
electronic
Digital origin:
born digital
Abstract/Description:
The approach taken during the development of control systems is frequently driven by a desire to balance challenges in system modeling with roadblocks and difficulties in controller design. Such a balance is often established in an iterative manner according to the perceived performance of the system - compared to objectives and specifications - as designs progress from computational models to physical implementations. To accelerate this process, it would be beneficial to establish methods of identifying suitable directions for both the modeling and control tasks from an early stage - limiting the iterations required. In this work, we utilize our ongoing research to study this problem from three directions: (1) the development of a physically motivated model for partially understood systems with significant unmodeled dynamics and disturbances; (2) the selection of control algorithms to satisfy performance objectives in both the modeled and physical systems; and (3) investigation into the characteristic behaviors of control algorithms. The work performed along these research directions is shared across three primary activities: (1) analytical and experimental modeling and control of a prototype electromechanical actuator system, (2) an extensive review of existing literature on the computational modeling and physiological closed-loop control of type 1 diabetes, and (3) the theoretical and numerical study of the sliding mode control with perturbation estimation control algorithm. Through these investigations, we contemplate the question of model and controller suitability posed in the following and aim to develop some initial guidelines for well-formulated designs. Further, we attempt to identify several important characteristics and methodologies that can be used to aid the decision making processes for both modeling and control.
Subjects and keywords:
artificial pancreas
control
modeling
perturbation estimation
sliding mode
systems
Mechanical engineering
DOI:
https://doi.org/10.17760/D20324042
Permanent URL:
http://hdl.handle.net/2047/D20324042
Use and reproduction:
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