Failure-tolerant control of aircraft; a fuzzy logic approach

An approach to failure-tolerant control is introduced by using multiple fuzzy controllers in an adaptive control scheme. Each fuzzy controller corresponds to a particular failure type. In contrast to the multiple model adaptive control approach, smooth transitions and a gradual interpolation between the failure control modes is achieved by using fuzzy logic. Moreover, in contrast to gain-scheduling approaches, control modes with different structure can still be defined. The approach is demonstrated on a nonlinear, six degrees of freedom model of a transport aircraft under realistic assumptions about actuator dynamics. The results show that good performance is achieved in case of severe actuator failures.

[1]  Henk B. Verbruggen,et al.  A fuzzy control approach , 1997 .

[2]  Michael Athans,et al.  The stochastic control of the F-8C aircraft using a multiple model adaptive control (MMAC) method--Part I: Equilibrium flight , 1977 .

[3]  Gertjan Looye,et al.  The RCAM design challenge problem description , 1997 .

[4]  John R. Broussard,et al.  Application of precomputed control laws in a reconfigurable aircraft flight control system , 1989 .

[5]  Robert F. Stengel,et al.  Nonlinear rule-based detection and identification of control system failures , 1998, Proceedings of the 1998 American Control Conference. ACC (IEEE Cat. No.98CH36207).

[6]  Robert F. Stengel,et al.  A fuzzy logic-parity space approach to actuator failure detection and identification , 1998 .

[7]  Henk B. Verbruggen,et al.  Flight control reconfiguration using multiple fuzzy controllers , 1997, Proceedings of 6th International Fuzzy Systems Conference.

[8]  Lotfi A. Zadeh,et al.  Fuzzy Sets , 1996, Inf. Control..

[9]  Peter S. Maybeck,et al.  Reconfigurable flight control via multiple model adaptive control methods , 1991 .

[10]  Robert F. Stengel.  Intelligent failure-tolerant control , 1991 .

[11]  Peter S. Maybeck,et al.  Sensor/actuator failure detection in the Vista F-16 by multiple model adaptive estimation , 1995 .

[12]  Paul M. Frank,et al.  Analytical and Qualitative Model-based Fault Diagnosis - A Survey and Some New Results , 1996, Eur. J. Control.

[13]  Rolf Isermann,et al.  Fault diagnosis of machines via parameter estimation and knowledge processing - Tutorial paper , 1991, Autom..

[14]  Michael Athans,et al.  Analysis of gain scheduled control for nonlinear plants , 1990 .

[15]  John J. Burken,et al.  Flight-Test Results of Propulsion-Only Emergency Control System on MD-11 Airplane , 1997 .

[16]  Aaron J. Ostroff.  Techniques for Accommodating Control Effector Failures on a Mildly Statically Unstable Airplane , 1985, 1985 American Control Conference.