IGPC-QFT Cascade Control and Its Application in Superheated Steam Temperature Control System

DOI

10.2991/iceesd-17.2017.104How to use a DOI?

Keywords

Superheated steam temperature control; quantitative feedback theory; improved implicit generalized predictive control algorithm; cascade control; suppressed overshoot.

Abstract

The superheated steam temperature control system is a complicated controlled object with large inertia and large time delay characteristics, and its model parameters change with the load. For this nonlinear system, an IGPC-QFT cascade control algorithm was proposed. The quantitative feedback theory (QFT) was used to suppress the uncertainties and disturbance in the leading region of the system. A simple method for QFT controller design was proposed to avoid the tedious shaping process of the QFT controller design. An improved implicit generalized predictive self-tuning controller (IGPC) was used to suppress the overshoot and overcome the large inertia and large time delay in the inert region. The numerical simulations show that the proposed IGPC-QFT algorithm can give the controlled system better dynamic performance than traditional GPC-P under different load and disturbance.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Xuyang Liu
PY  - 2017/04
DA  - 2017/04
TI  - IGPC-QFT Cascade Control and Its Application in Superheated Steam Temperature Control System
BT  - Proceedings of the 2017 6th International Conference on Energy, Environment and Sustainable Development (ICEESD 2017)
PB  - Atlantis Press
SP  - 562
EP  - 567
SN  - 2352-5401
UR  - https://doi.org/10.2991/iceesd-17.2017.104
DO  - 10.2991/iceesd-17.2017.104
ID  - Liu2017/04
ER  -