Abstract
This paper proposes intelligent fault-tolerant control technique using network. Not only control commands generated by a controller but also diagnostic data for tolerating failures can be transmitted through network. In this paper, fault-tolerant control allocation method (FTCA) is proposed to tolerate failures in more than one actuator. FTCA is based on a well-known actuator management technique called control allocation (CA). While the conventional CA is used to redistribute actuators optimally, FTCA redistributes actuators to compensate for the performance degradation due to actuator failure. To analyze the effects of faulty actuator, this paper proposes the general model of the faulty system firstly. And then the modified CA for tolerating the effect of failure is proposed. The performance of the proposed FTCA method is verified by the numerical simulations with application to F-18 High Alpha Research Vehicle (HARV).
Highlights
Systems, such as aircrafts, spacecrafts, and automotive vehicles, that lead to a catastrophic accident due to failures are called “safety-critical systems.” Since these systems require high-level of dependability, redundant actuators are usually adopted
The performance of the proposed fault-tolerant control allocation technique is evaluated with application to the F-18 High Alpha Research Vehicle (HARV) aircraft
This paper proposed the networked fault-tolerant control method based on control allocation
Summary
Systems, such as aircrafts, spacecrafts, and automotive vehicles, that lead to a catastrophic accident due to failures are called “safety-critical systems.” Since these systems require high-level of dependability, redundant actuators are usually adopted. In contrast to adopting redundant actuators, techniques based on control theory have been proposed for last 30 years: for example, pseudoinverse [1], model reference adaptive control [2], sliding mode control [3], multiple model switching and tuning [4], control allocation [5,6,7,8,9,10], and so forth. The goal of these methods is to provide the feasible control input for a faulty system by reconfiguring a controller.
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