Fuzzy modeling and predictive control of superheater steam temperature for power plant

Xiao Wu; Jiong Shen; Yiguo Li; Kwang Y Lee

doi:10.1016/j.isatra.2014.11.018

Fuzzy modeling and predictive control of superheater steam temperature for power plant

ISA Trans. 2015 May:56:241-51. doi: 10.1016/j.isatra.2014.11.018. Epub 2014 Dec 18.

Authors

Xiao Wu¹, Jiong Shen², Yiguo Li³, Kwang Y Lee⁴

Affiliations

¹ Key Laboratory of Energy Thermal Conversion and Control of Ministry of Education, School of Energy and Environment, Southeast University, Nanjing 210096, China. Electronic address: wux@seu.edu.cn.
² Key Laboratory of Energy Thermal Conversion and Control of Ministry of Education, School of Energy and Environment, Southeast University, Nanjing 210096, China. Electronic address: shenj@seu.edu.cn.
³ Key Laboratory of Energy Thermal Conversion and Control of Ministry of Education, School of Energy and Environment, Southeast University, Nanjing 210096, China. Electronic address: lyg@seu.edu.cn.
⁴ Department of Electrical and Computer Engineering, Baylor University, One Bear Place #97356, Waco, TX 76798-7356, USA. Electronic address: Kwang_Y_Lee@baylor.edu.

PMID: 25530258
DOI: 10.1016/j.isatra.2014.11.018

Abstract

This paper develops a stable fuzzy model predictive controller (SFMPC) to solve the superheater steam temperature (SST) control problem in a power plant. First, a data-driven Takagi-Sugeno (TS) fuzzy model is developed to approximate the behavior of the SST control system using the subspace identification (SID) method. Then, an SFMPC for output regulation is designed based on the TS-fuzzy model to regulate the SST while guaranteeing the input-to-state stability under the input constraints. The effect of modeling mismatches and unknown plant behavior variations are overcome by the use of a disturbance term and steady-state target calculator (SSTC). Simulation results for a 600 MW power plant show that an offset-free tracking of SST can be achieved over a wide range of load variation.

Keywords: Data-driven modeling; Power plant; Stable model predictive control; Subspace identification; Superheater steam temperature control; TS-fuzzy model.

Publication types

Research Support, Non-U.S. Gov't