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Title: Adaptive Fuzzy Modulation for Networked PI Control Systems
Authors: Al-mutairi, Naif Bejad
Advisors: Dr. Fen Wu, Committee Member
Dr. H. Joel Trussell, Committee Member
Dr. James J. Brickley, Committee Member
Dr. Mo-Yuen Chow, Committee Chair
Keywords: fuzzy logic
networked control systems
PI control
adaptive systems
network-based control
Issue Date: 30-May-2002
Degree: PhD
Discipline: Electrical Engineering
Abstract: Networks and their applications have been evolving substantially in the last two decades. Network-based control systems, also called Networked Control Systems (NCS), are one of the hottest topics in network-based applications. By networked control system we mean controlling the system through the network, i.e., using networks for remote control and automation. One major concern of using networks in remote control and automation is the Quality of Service (QoS) deterioration effects. These QoS deterioration effects such as: network-induced time delays, bandwidth constraints, multiple-packet transmission, and dropping network packets are serious tribulations. Without considering the effect of the QoS deterioration the performance of the NCS closed-loop control system could be degraded and even destabilized. In this thesis, an adaptive fuzzy logic modulation scheme is proposed to compensate for the network-induced time delays in the network-based PI control systems. This scheme is based on modulating the control signal provided by the PI controller and applied to the remote controller via the network. A network-based controlled DC motor is used in this thesis to illustrate the effectiveness of the proposed scheme.
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