Skip to main content
U.S. Department of Energy
Office of Scientific and Technical Information

Optimal filtering, parameter tracking, and control of nonlinear nuclear reactors

Conference ·
OSTI ID:6913515
This paper presents a new formulation of a class of nonlinear optimal control problems in which the system's signals are noisy and some system parameters are changing arbitrarily with time. The methodology is validated with an application to a nonlinear nuclear reactor model. A variational technique based on Pontryagin's Maximum Principle is used to filter the noisy signals, estimate the time-varying parameters, and calculate the optimal controls. The reformulation of the variational technique as an initial value problem allows this microprocessor-based algorithm to perform on-line filtering, parameter tracking, and control.
Research Organization:
Tennessee Univ., Knoxville (USA); Oak Ridge National Lab., TN (USA)
DOE Contract Number:
AC05-84OR21400
OSTI ID:
6913515
Report Number(s):
CONF-880911-5; ON: DE88013238
Country of Publication:
United States
Language:
English