Embedded Sensors and Controls to Improve Component Performance and Reliability - System Dynamics Modeling and Control System Design

Melin, Alexander M.¹  Kisner, Roger A.¹  Fugate, David L.¹ 

[1] Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)

关键词: Modeling;    Simulation;    Magnetic Bearings;    Control System;    Rotordynamics;    Fluid Bearing;   

DOI  :  10.2172/1185367
RP-ID  :  ORNL/TM--2013/415
PID  :  OSTI ID: 1185367
Others  :  Other: NT0107000
Others  :  NENT012

美国|英语

来源: SciTech Connect

【 摘 要 】

This report documents the current status of the modeling, control design, and embedded control research for the magnetic bearing canned rotor pump being used as a demonstration platform for deeply integrating instrumentation and controls (I{\&}C) into nuclear power plant components. This pump is a highly inter-connected thermo/electro/mechanical system that requires an active control system to operate. Magnetic bearings are inherently unstable system and without active, moment by moment control, the rotor would contact fixed surfaces in the pump causing physical damage. This report details the modeling of the pump rotordynamics, fluid forces, electromagnetic properties of the protective cans, active magnetic bearings, power electronics, and interactions between different dynamical models. The system stability of the unforced and controlled rotor are investigated analytically. Additionally, controllers are designed using proportional derivative (PD) control, proportional integral derivative (PID) control, voltage control, and linear quadratic regulator (LQR) control. Finally, a design optimization problem that joins the electrical, mechanical, magnetic, and control system design into one problem to balance the opposing needs of various design criteria using the embedded system approach is presented.