Journal article
Fuzzy disturbance observer design for a class of nonlinear SISO systems
International Journal of Fuzzy Systems
2021
Abstract
In this paper, a novel fuzzy disturbance observer (DOB) is designed for a class of nonlinear single-input–single-output (SISO) systems. The main feature of the proposed DOB lies in that only the control input and system output information is required. According to the output information and mathematical model of the original SISO system, an auxiliary system is constructed to estimate the disturbance. The estimation result is generated by comparing the control input of the original system with the input variable of the auxiliary system. On this basis, a fuzzy logic controller is introduced to obtain the time-varying parameter such that the estimation error can be automatically minimized. Then, the design method of the aforementioned fuzzy DOB is systematically described through a numerical example and the continuous stirred tank reactor system. Finally, a fuzzy DOB based composite controller is presented for the missile roll stabilization system to verify its effectiveness in practical engineering.
Details
- Title
- Fuzzy disturbance observer design for a class of nonlinear SISO systems
- Authors/Creators
- Q. Hou (Author/Creator) - Jiangsu UniversityL. Ma (Author/Creator) - Jiangsu UniversityH. Wang (Author/Creator) - Murdoch UniversityS. Ding (Author/Creator) - Jiangsu University
- Publication Details
- International Journal of Fuzzy Systems
- Publisher
- Chinese Fuzzy Systems Association
- Identifiers
- 991005543976207891
- Murdoch Affiliation
- School of Engineering and Energy
- Language
- English
- Resource Type
- Journal article
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- Domestic collaboration
- International collaboration
- Citation topics
- 4 Electrical Engineering, Electronics & Computer Science
- 4.29 Automation & Control Systems
- 4.29.104 Adaptive Control
- Web Of Science research areas
- Automation & Control Systems
- Computer Science, Artificial Intelligence
- Computer Science, Information Systems
- ESI research areas
- Engineering