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By M. R. Napolitano, Y. An, B. Seanor

Plane layout three (2000) 103 - 128

In fresh years neural networks were proposed for id and regulate of linear and non-linear dynamic platforms. This paper describes the functionality of a neural network-based fault-tolerant method inside of a flight regulate method. This fault-tolerant flight keep an eye on procedure integrates sensor and actuator failure detection, identity, and lodging (SFDIA and AFDIA). the 1st job is completed by means of incorporating a first-rate neural community (MNN) and a collection of n decentralized neural networks (DNNs) to create a procedure with n sensors which has the facility to realize a wide selection of sensor disasters. the second one scheme implements an identical major neural community built-in with 3 neural community controllers. The contribution of this paper makes a speciality of improvements of the SFDIA scheme to permit the dealing with of sentimental mess ups in addition to addressing the difficulty of integrating the SFDIA and the AFDIA schemes with out degradation of functionality when it comes to fake alarm premiums and wrong failure identi"cation. the result of the simulation with diversified actuator and sensor disasters with a non-linear plane version are offered and mentioned.

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A fault tolerant flight control system for sensor and actuator failures using neural networks by M. R. Napolitano, Y. An, B. Seanor


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