A Comparison Study of Several Adaptive Control Strategies for  Resilient Flight Control

Boÿskovic, Jovan D.; Knoebel, Nathan

doi:10.2514/6.2009-5736

Cited by 4 publications

(6 citation statements)

References 13 publications

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“…However, adaptive controller tuning is a highly complex procedure, and minimizing tracking error transients may result in other relevant measures exceeding their safety limits. 7 In addition, even if one manages to arrive at a well tuned adaptive controller that minimizes the transients, this approach may not yield satisfactory results since the pilot effect is neglected.…”

Section: Minimizing Adverse Interactionsmentioning

confidence: 98%

“…While some adaptive fault-tolerant flight control algorithms proposed in the literature are of direct adaptive control type, a recent comprehensive study has shown that the algorithms based on the indirect adaptive control approach achieve, in general, far superior performance compared to those based on direct adaptive flight control. 7 Hence the focus in this paper is on indirect adaptive inner-loop controllers.…”

Section: Problem Statementmentioning

confidence: 99%

“…If that does not give satisfactory results, the adaptive controller is changed. American Institute of Aeronautics and Astronautics As described in [7], this approach was used to compare the performance of 15 different adaptive control algorithms on a simulation of F/A-18 dynamics under stabilator damage. Criterion (5) above can be augmented by the terms arising in the context of pilot-aircraft interactions.…”

Section: Pilot-adaptive Controller Interaction Metricsmentioning

confidence: 99%

“…In [7], the tuning problem was stated in terms of finding a set of free-design parameters (FDP), such as the adaptation gains, observer gains, filter gains, etc., which minimize the above criterion over a range of parametric uncertainty, disturbances, reference inputs (commands) and time delays. With such a formulation, the metrics find the "best" FDP using the ATLAS tool, Figure 3.…”

Section: Pilot-adaptive Controller Interaction Metricsmentioning

confidence: 99%

“…In order to address these challenges, many adaptive control approaches proposed over the years, along with their enhancements, [1][2][3][4][8][9][10] have been implemented to testbeds of interest under the IRAC program (see e.g. [5][6][7]). While several of these techniques achieved acceptable response under simulated failures and damage on a variety of testbeds, the design focus was primarily on the inner-loop adaptive fault-tolerant control, which neglects important effects of the pilot on the overall feedback control loop.…”

Section: Introductionmentioning

confidence: 99%

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An Initial Study of Pilot-Adaptive Controller Interactions in Flight Control

Boÿskovic

Knoebel

Jackson

2010

AIAA Guidance, Navigation, and Control Conference

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In this paper we describe initial development of the Interaction Management for Pilot-Adaptive Control sysTems (IMPACT) technology for resilient flight control. The IMPACT system is based on a simple adaptive model of pilot's behavior, suitable pilot-adaptive controller interaction metrics, and IMPACT algorithms for estimating pilot's behavior on-line and compensating for unfavorable interactions.The development of the IMPACT system results from an initial experimental study that involves an operator trying to track a desired trajectory on the screen with an animated aircraft using a joystick. The tracking objective requires operating under large external disturbances emulating wind gusts. We represent the pilot model as an outer-loop direct adaptive controller that, based on the tracking error, generates suitable commands in order to compensate for the disturbance. In the inner loop, an indirect adaptive controller also compensates for the disturbance. Due to the different nature of adaptive control laws, adverse interaction effects between the operator and the controller may be present. We first show that the assumed adaptive model of pilot's behavior is sufficiently accurate for the above test scenario. We then show that the adverse interactions can be detected using suitably chosen PIO susceptibility metrics based on the Time-Domain NealSmith Criterion. After these preliminaries, we describe the IMPACT system whose role is to detect the adverse interactions and generate compensating signals that stabilize the overall system, consisting of the pilot, adaptive controller and the aircraft, and achieve the desired performance. The proposed approach is illustrated through the results of experimental testing, and appears highly promising.

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Section: Minimizing Adverse Interactionsmentioning

confidence: 98%

Section: Problem Statementmentioning

confidence: 99%

Section: Pilot-adaptive Controller Interaction Metricsmentioning

confidence: 99%

Section: Pilot-adaptive Controller Interaction Metricsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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An Initial Study of Pilot-Adaptive Controller Interactions in Flight Control

Boÿskovic

Knoebel

Jackson

2010

AIAA Guidance, Navigation, and Control Conference

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A new decentralized retrofit adaptive fault‐tolerant flight control design

Boskovic

2012

Adaptive Control & Signal

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In this paper, we develop a new decentralized retrofit adaptive fault-tolerant control design for a class of nonlinear models arising in flight control. The proposed adaptive fault-tolerant controller is designed to accommodate loss-of-effectiveness (LoE) failures in flight control actuators and achieve accurate estimation of failure-related parameters. The design is based on local estimation of LoE parameters and generation of local retrofit control signals to accommodate the failures. Using state-dependent closed-loop estimation errors, we show the overall system to be stable and demonstrate the tracking error to converge to zero asymptotically for any combination of actuator failures. Through computer simulation of F/A-18 aircraft under actuator LoE failures, the proposed approach is also shown to achieve better parameter estimation performance compared to the fully centralized design and the design employing local observers and a centralized adaptive controller.

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