Published 1976 | Version v1
Book

Design of proportional-integral-derivative type optimal controller for a nuclear reactor

  • 1. Roorkee Univ. (India). Dept. of Electrical Engineering

Description

A theoretic approach to the design of a proportional integral derivative (PID) type optimal controller for a nuclear reactor is considered. A linearized version of the state-space model of a nuclear-reactor-plant is investigated which shows very 'sluggish' response (settling time of the order of 600 seconds) to changes in the power demand and frequency. It is shown that with a judicious choice of state variables a PID type optimal controller realisation is possible. A controller is designed to minimise the effects of (a) a sudden increase or decrease in the electrical power demand (b) change in frequency at grid. The above controller, designed for a tracking problem, reduces the steady-state error (in response to a step input) to zero and the dynamics of the system become 'faster' (setting time of the order of 100 seconds). The controller is also insensitive to changes in system parameters. The superiority in the performance of the system with the optimal PID controller as compared with that of the conventional regulator is conclusively established. (author)

Additional details

Publishing Information

Publisher
Department of Atomic Energy.
Imprint Place
Bombay
Imprint Title
Proceedings of the symposium on power plant dynamics and control [held at Bombay during] February 23-24, 1976
Journal Page Range
p. 237-253.

Conference

Title
Symposium on power plant dynamics and control.
Dates
23 - 24 Feb 1976.
Place
Bombay, India.

INIS

Country of Publication
India
Country of Input or Organization
India
INIS RN
9358101
Subject category
S22: GENERAL STUDIES OF NUCLEAR REACTORS;
Resource subtype / Literary indicator
Conference
Descriptors DEI
COMPUTER CODES; FEEDBACK; NUCLEAR POWER PLANTS; OPTIMIZATION; POWER REACTORS; REACTOR CONTROL SYSTEMS
Descriptors DEC
CONTROL SYSTEMS; NUCLEAR FACILITIES; POWER PLANTS; REACTORS; THERMAL POWER PLANTS

Optional Information

Notes
12 figures.