An Adaptive Fault Tolerant PI Controller for an Information-Poor, Nonlinear System
文献类型：会议论文
| 作者 | Yinmin Zhou |
| 出版日期 | 2015 |
| 会议名称 | IEEE International Conference on Robotics and Biomimetics(ROBIO) |
| 会议地点 | 广东珠海 |
| 英文摘要 | In this paper, an adaptive PI controller is proposed to achieve fault tolerant control. Information-poor systems are normally nonlinear, and difficult to be described via physical models. Hence fuzzy relational model is used to describe their behaviours with only input/output information. An air-cooling subsystem in HVAC (Heating, Ventilating and Air-Conditioning) system is used as a case study. The neuro-fuzzy based adaptive PI controller is designed to accommodate the faults in the system with fault tolerance achievement. Simulation experiments have been performed to prove the efficacy of the proposed algorithm. |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/6736]  |
| 专题 | 深圳先进技术研究院_集成所 |
| 作者单位 | 2015 |
| 推荐引用方式 GB/T 7714 | Yinmin Zhou. An Adaptive Fault Tolerant PI Controller for an Information-Poor, Nonlinear System[C]. 见:IEEE International Conference on Robotics and Biomimetics(ROBIO). 广东珠海. |
入库方式： OAI收割
来源：深圳先进技术研究院
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