Gene

Quantum mechanics

Control (management)

Engineering

Reliability engineering

Control reconfiguration

Control engineering

Embedded system

Robustness (evolution)

Operating system

Turbofan

Biochemistry

Computer science

Fault (geology)

Seismology

Geology

Physics

Nonlinear system

Sliding mode control

State observer

Fault tolerance

Automotive engineering

Artificial intelligence

Observer (physics)

Chemistry

Control theory (sociology)

Mode (computer interface)

Energies

This paper investigated the problem of fault estimation and fault-tolerant control (FTC) against sensor faults for aircraft engines. By applying a second order sliding mode observer (SOSMO) to the engine on-board model, estimations of the system states and sensor faults could be obtained simultaneously, and the result of state estimation was unaffected when using the reduced-order sliding mode system. This result gave rise to the idea to use the estimated states instead of physical sensor signal in the engine close-loop feedback control. Unlike those using passive FTC concepts, the tradeoff between control performance and robustness was inherently unnecessary. Meanwhile, compared to active FTC approaches, because any classical state/output feedback method can be directly applied to the proposed scheme without any controller reconfiguration, extra undesired dynamic responses caused by parameter reconfiguring were avoided. In this paper, the proposed FTC scheme was tested on the nonlinear model of a civil aircraft turbofan engine, and numerical simulation results showed satisfactory sensor FTC performance.

Sensor Fault Tolerant Control for Aircraft Engines Using Sliding Mode Observer