Constrained Entropy-Based Temperature Control of Waste Heat Systems

被引：0

作者：

Zhang, Jianhua ^{[1
]}

Ren, Mifeng ^{[2
]}

Yue, Hong ^{[3
]}

机构：

[1] North China Elect Power Univ, State Key Lab Alternate Elect Power Syst Renewabl, Beijing 102206, Peoples R China

[2] Taiyuan Univ Technol, Coll Informat Engn, Taiyuan 030024, Peoples R China

[3] Univ Strathclyde, Dept Elect & Elect Engn, Glasgow G1 1XW, Lanark, Scotland

来源：

PROCEEDINGS OF THE 2016 12TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA) | 2016年

关键词：

ORGANIC RANKINE-CYCLE; PREDICTIVE CONTROL; WORKING FLUID; RECOVERY; ORC; OPTIMIZATION; CONVERSION; SELECTION; DESIGN;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A minimum error entropy controller is developed for superheated vapour temperature control of a waste heat recovery process using Organic Rankine cycles (ORC). A nonlinear dynamic model is briefed for the ORC evaporator to capture the key dynamic characteristics of the process. Considering non-Gaussian disturbance terms, the control objective is proposed to minimize the combined entropy function and the mean value of the squared tracking errors. The controller is designed by taking into account of bounded constraints on input actions. The improved performances of the proposed method in reducing control variation and decreasing tracking error uncertainty are discussed by a comparison with standard PID control through simulation study conducted on an ORC waste heat recovery process.

引用

页码：1992 / 1998

页数：7

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