Continuously Scheduled Model Parameter Based Adaptive Controller

作者: Wilhelm K. Wojsznis , Peter Wojsznis , Terrence Lynn Blevins

DOI:

关键词: Operating pointModel parameterProcess (computing)InterpolationPID controllerEngineeringModel parametersControl theorySet (abstract data type)Control theoryControl engineering

摘要: An adaptive process controller performs continuously scheduled model parameter interpolation to determine a particular set of parameters which are used develop tuning for tuning. More particularly, state-based, PID described herein uses new technique an appropriate be perform over the various operating regions plant, and in particular, determination that enables update plant or points. The use this method provides smoother transitions between during procedures implemented based on changes region point process, thereby providing better overall control.

参考文章(76)
Xu Cheng, Dong Jia, Robust stability constrained model predictive control american control conference. ,vol. 2, pp. 1580- 1585 ,(2004) , 10.23919/ACC.2004.1386802
Terrence L. Blevins, Wilhelm K. Wojsznis, Adaptive feedback/feedforward pid controller ,(2000)
F.G. Greg Shinskey, Process Control Systems: Application, Design and Tuning McGraw-Hill, Inc.. ,(1990)
Anoop K. Mathur, Tariq Samad, A closed loop neural network automatic tuner ,(1992)
Terrence L. Round Rock Blevins, Dennis L. Round Rock Stevenson, Wilhelm K. Round Rock Wojsznis, Auto-tuning in a distributed process control environment ,(1999)
C. De Persis, R. De Santis, A.S. Morse, Further results on switched control of linear systems with constraints conference on decision and control. ,vol. 3, pp. 2810- 2815 ,(2002) , 10.1109/CDC.2002.1184269
William W. Pu, Purnendu K. Mozumder, Sharad Saxena, Multi-variable statistical process controller for discrete manufacturing ,(1993)