Abstract
The problem of fault diagnosis (FD) and fault tolerant control for a class of Takagi-Sugeno (T-S) fuzzy stochastic distribution control systems subject to sensor and actuator faults is discussed in this article. First, fuzzy logic models are used to approximate the output probability density function (PDF). Next, an adaptive augmented state/FD observer is proposed to estimate the system state, sensor and the actuator faults simultaneously. New expected weights based on the sensor fault estimation information and a PI-type fuzzy feedback fault tolerant controller are designed to compensate the effect of sensor fault and actuator fault simultaneously. When the sensor fault occurs, the expected objective is redesigned to compensate the sensor fault. Meanwhile, the PI controller can compensate the effect of actuator fault, and the output PDF of the system can still track the desired PDF after the fault occurs. Finally, an example of quality distribution control in chemical reaction process is given to confirm the effectiveness of the algorithm.
| Original language | English |
|---|---|
| Pages (from-to) | 3561-3569 |
| Number of pages | 9 |
| Journal | IEEE Transactions on Fuzzy Systems |
| Volume | 29 |
| Issue number | 11 |
| DOIs | |
| State | Published - Nov 2021 |
Funding
This article has been coauthored by UT-Battelle, LLC, under contract DE-AC05-00OR22725 with the U.S. Department of Energy (DOE). The U.S. government retains and the publisher, by accepting the article for publication, acknowledges that the U.S. government retains a nonexclusive, paid-up, irrevocable, world-wide license to publish or reproduce the published form of this article, or allow others to do so, for U.S. government purposes. DOE will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy.gov/downloads/doe-public-access-plan). Manuscript received July 9, 2020; accepted September 2, 2020. Date of publication September 18, 2020; date of current version November 1, 2021. The work of Hao Wang, Yunfeng Kang, and Lina Yao was supported by Chinese NSF under Grant 61973278. (Corresponding author: Lina Yao.) Hao Wang, Yunfeng Kang, and Lina Yao are with the School of Electrical Engineering, Zhengzhou University, Zhengzhou 450001, China (e-mail: [email protected]; [email protected]; [email protected]). Hong Wang is with the Oak Ridge National Laboratory, Oak Ridge, TN 37830 USA (e-mail: [email protected]). Zhiwei Gao is with the University of Northumbria, NE1 8QH Newcastle upon Tyne, U.K. (e-mail: [email protected]). Color versions of one or more figures in this article are available at https: //doi.org/10.1109/TFUZZ.2020.3024659. Digital Object Identifier 10.1109/TFUZZ.2020.3024659
Keywords
- Fault diagnosis (FD)
- Takagi-Sugeno (T-S) fuzzy model
- fault tolerant control (FTC)
- sensor and actuator faults
- stochastic distribution control (SDC) systems