An adaptive fault tolerant neuro-fuzzy based proportional-integral controller for a nonlinear system

作者：Zhou, Yimin^*

来源：TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL, 2019, 41(4): 1088-1100.

DOI：10.1177/0142331218781704

• Fuzzy relational model
• proportional-integral observer
• fault tolerant control
• cooling-coil subsystem

In this paper, an adaptive proportional-integral controller based on a fuzzy relational model is developed for the purpose of fault tolerant control in a nonlinear, information-poor system. First, the methods of fault tolerant control are briefly introduced. An air-cooling subsystem in a heating, ventilating and air-conditioning system is used as an example to describe the fuzzy relational modelling procedure. Then a proportional-integral (PI) observer is established for fault identification and a PI-based adaptive controller is designed for fault tolerance with varied parameter adjusting. By introducing the fault estimation, an adaptive mechanism is adopted to update the parameter selection in the control scheme. Sensor noise is also considered in the method and simulation experiments are performed to verify the effectiveness of the proposed scheme.

• 出版日期2019-2
• 单位中国科学院深圳先进技术研究院