Next Article in Journal
Harmonic Detection for Power Grids Using Adaptive Variational Mode Decomposition
Previous Article in Journal
Optimization of Biodiesel Production Using Nanomagnetic CaO-Based Catalysts with Subcritical Methanol Transesterification of Rubber Seed Oil
Previous Article in Special Issue
Towards Fast Response, Reduced Processing and Balanced Load in Fog-Based Data-Driven Smart Grid
Article Menu
Issue 2 (January-2) cover image

Export Article

Open AccessArticle
Energies 2019, 12(2), 231; https://doi.org/10.3390/en12020231

Maximum Sensitivity-Constrained Data-Driven Active Disturbance Rejection Control with Application to Airflow Control in Power Plant

1
State Key Lab of Power Systems, Department of Energy and Power Engineering, Tsinghua University, Beijing 100084, China
2
Department of Engineering Mechanics, Tsinghua University, Beijing 100084, China
3
Key Lab of Energy Thermal Conversion and Control of Ministry of Education, Southeast University, Nanjing 210096, China
4
Automation Department, Shanxi University, Taiyuan 030013, China
5
College of Electrical Engineering and Automation, Fuzhou University, Fuzhou 350108, China
*
Author to whom correspondence should be addressed.
Received: 18 December 2018 / Revised: 8 January 2019 / Accepted: 8 January 2019 / Published: 13 January 2019
(This article belongs to the Special Issue Energy Efficiency and Data-Driven Control)
Full-Text   |   PDF [4474 KB, uploaded 13 January 2019]   |  

Abstract

The increasing energy demand and the changing of energy structure have imposed higher requirements on the conventional large-scale power plants control. Complexity of the power plant processes and the frequent change of operation condition make the accurate physical models hard to obtain for control design. To this end, a data-driven control strategy, the active disturbance rejection control (ADRC) has received much attention for the estimation and mitigation of uncertain dynamics beyond the canonical form of cascaded integrators. However, the robustness of ADRC is seldom discussed in a quantitative manner. In this study, the maximum sensitivity is used to evaluate and then constrain the robustness of ADRC applied to high-order processes. Firstly, by using the new idea of the vertical asymptote of the Nyquist curve, a preliminary one-parameter-tuning method is developed. Secondly, a quantitative relationship between the maximum sensitivity and the tuning parameter is established using optimization methods. Then, the feasibility and effectiveness of the proposed method is initially verified in the total air flow control of a power plant simulator. Finally, field tests on the secondary airflow control in a 330 MWe circulating fluidized bed confirm the merit of the proposed maximum sensitivity-constrained ADRC tuning. View Full-Text
Keywords: active disturbance rejection control (ADRC); maximum sensitivity; airflow control; coal-fired power plant active disturbance rejection control (ADRC); maximum sensitivity; airflow control; coal-fired power plant
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

He, T.; Wu, Z.; Shi, R.; Li, D.; Sun, L.; Wang, L.; Zheng, S. Maximum Sensitivity-Constrained Data-Driven Active Disturbance Rejection Control with Application to Airflow Control in Power Plant. Energies 2019, 12, 231.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Energies EISSN 1996-1073 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top