DocumentCode
2918643
Title
Performance characterization of IP network-based control methodologies for DC motor applications. Part I
Author
Richards, Tyler ; Chow, Mo-Yuen
Author_Institution
Dept. of Electr. & Comput. Eng., North Carolina State Univ., Raleigh, NC, USA
fYear
2005
fDate
6-10 Nov. 2005
Abstract
Using a communication network, such as an IP network, in the control loop is increasingly becoming the norm. This process of network-based control (NBC) has a potentially profound impact in areas such as: teleoperation, healthcare, military applications, and manufacturing. However, limitations arise as the communication network introduces delay that often degrades or destabilizes the control system. Four methods have been investigated that alleviate the IP network delays to provide stable real-time control. This paper presents the four methodologies, while the companion paper presents a case study on a DC motor with a networked proportional-integral (PI) speed controller with various network delays and noise levels. The four methodologies are gain scheduling middleware (GSM), optimal stochastic methodology, queuing methodology, and robust control methodology. Simulation results show that NBC combined with these techniques can successfully maintain system stability, allowing control of real-time applications.
Keywords
DC motors; IP networks; PI control; angular velocity control; machine control; middleware; queueing theory; real-time systems; robust control; stochastic processes; telecommunication control; DC motor; IP network-based control; gain scheduling middleware; healthcare; military application; network delays; optimal stochastic methodology; proportional-integral speed controller; queuing methodology; real-time control; robust control; teleoperation; Communication networks; Communication system control; Control systems; DC motors; Degradation; IP networks; Manufacturing processes; Medical services; Niobium compounds; Process control;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Electronics Society, 2005. IECON 2005. 31st Annual Conference of IEEE
Print_ISBN
0-7803-9252-3
Type
conf
DOI
10.1109/IECON.2005.1569282
Filename
1569282
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