Implicit Kalman filter algorithm for nuclear reactor analysis
Artificial intelligence (AI) is currently the hot topic in nuclear power plant diagnostics and control. Recently, researchers have considered the use of simulation as knowledge in which faster than real-time best-estimate simulations based on first principles are tightly coupled with AI systems for analyzing power plant transients on-line. On-line simulations can be improved through a Kalman filter, a mathematical technique for obtaining the optimal estimate of a system state given the information contained in the equations of system dynamics and measurements made on the system. Filtering can be used to systemically adjust parameters of a low-order simulation model to obtain reasonable agreement between the model and actual plant dynamics. The authors present here a general Kalman filtering algorithm that derives its information of system dynamics implicitly and naturally from the discrete time step-series of state estimates available from a simulation program. Previous research has demonstrated that models adjusted on past data can be coupled with an intelligent controller to predict the future time-course of plant transients.
- Research Organization:
- Univ. of Michigan, Ann Arbor
- OSTI ID:
- 6839449
- Report Number(s):
- CONF-861102-
- Journal Information:
- Trans. Am. Nucl. Soc.; (United States), Vol. 53; Conference: American Nuclear Society and Atomic Industrial Forum joint meeting, Washington, DC, USA, 16 Nov 1986
- Country of Publication:
- United States
- Language:
- English
Similar Records
Kalman filter-based gap conductance modeling. [PWR; BWR]
Kalman filter application for distributed parameter estimation in reactor systems
Related Subjects
NUCLEAR POWER PLANTS
REACTOR CONTROL SYSTEMS
REACTOR KINETICS
ARTIFICIAL INTELLIGENCE
COMPUTERIZED SIMULATION
ALGORITHMS
DIFFERENTIAL EQUATIONS
ON-LINE CONTROL SYSTEMS
TRANSIENTS
CONTROL SYSTEMS
EQUATIONS
KINETICS
MATHEMATICAL LOGIC
NUCLEAR FACILITIES
ON-LINE SYSTEMS
POWER PLANTS
SIMULATION
THERMAL POWER PLANTS
220400* - Nuclear Reactor Technology- Control Systems
220100 - Nuclear Reactor Technology- Theory & Calculation