This paper presents the concept of a methodology for synthesis of life extending control systems along with failure prognostics and condition-based maintenance of fossil power plants. The proposed control synthesis methodology relies on augmentation of the current system-theoretic techniques for synthesis of optimal decision and control policies with governing equations and inequality constraints that model the structural properties of materials for the purpose of damage representation. This decision and control system has a hierarchical structure and is required to be robust, i.e., tolerant of a variety of errors resulting from parametric and non-parametric uncertainties in modeling of plant and damage dynamics, and continuously varying or discrete-event disturbances. It also allows prediction of impending failures well in advance based on an analytical model of the material damage even though the available sensors may not be able to detect any change in the plant behavior. The power plant availability is envisioned to be significantly enhanced by making maintenance decisions based on the sensor data and analytical prediction of the remaining service life especially if the plant is subjected to load following operations and repeated start-up and shutdown.
|Original language||English (US)|
|Number of pages||9|
|Journal||Instrumentation, Control, and Automation in the Power Industry, Proceedings|
|State||Published - 1995|
All Science Journal Classification (ASJC) codes
- Control and Systems Engineering
- Mechanical Engineering