控制理论(社会学)
最大化
断层(地质)
转换器
故障检测与隔离
执行机构
工程类
能量(信号处理)
可靠性(半导体)
容错
控制工程
故障指示器
计算机科学
电压
控制(管理)
可靠性工程
功率(物理)
电气工程
地震学
量子力学
经济
微观经济学
人工智能
地质学
物理
统计
数学
作者
Yao Zhang,Tianyi Zeng,Zhiwei Gao
标识
DOI:10.1109/tste.2022.3174781
摘要
This paper investigates a new wave energy converter (WEC) control problem, which is the energy maximization subject to sensor and actuator faults. Unexpected deviation of system variables from standard conditions, defined as a fault, degrades the control performance and even introduces damages breaking down the whole system. Fault detection for wave energy converters is therefore of great importance in maintaining the high reliability of the system. This paper presents a robust fault diagnosis approach effectively detecting sensor and actuator faults in real-time. A compensator is then designed to minimize the influence from faults and maintain the control performance. A non-causal linear optimal control is applied to maximize the energy output, in which the future excitation force is incorporated to determine the current control action. This approach can also be straightforwardly applied to other control methods. The parameters of the proposed fault detection method and fault-tolerant control method can be calculated off-line, which enhances the real-time implementation with a low computational burden. A realistic sea wave collected from the coast of Cornwall, U.K. is used to demonstrate the efficacy of the proposed approach.
科研通智能强力驱动
Strongly Powered by AbleSci AI