Longitudinal Flying Qualities Prediction for Nonlinear Aircraft

Ryu, Shiyang; Andrisani, Dominick

doi:10.2514/2.5070

Cited by 9 publications

(11 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Here x(t ) ∈ R n is the state vector (further details below) and E h ∈ R n r ×n selects the appropriate states to be compared with r(t). Note that the dynamics given by (1)-(3) is general enough to capture, for example, widely studied linear time-invariant human models with time-delay including Neal-Smith model and its extensions (Miller, 2011;Ryu & Andrisani, 2003;Schmidt & Bacon, 1983;Thurling, 2000;Witte, 2004). Next, at the inner-loop architecture, we consider the uncertain dynamical system given bẏ…”

Section: Problem Formulationmentioning

confidence: 99%

“…linearisation, model order reduction, exogenous disturbances and degraded modes of operations), its capabilities when interfaced with human operators can, however, be quite limited. Indeed, in certain applications when humans are in the loop (Miller, 2011;Ryu & Andrisani, 2003;Trujillo & Gregory, 2013;Trujillo, Gregory, & Hempley, 2015), the arising closed loop with MRAC can become unstable. As a matter of fact, such problems are not only limited to MRAC-human interactions and have been reported to arise in various human-in-the-loop control problems including, for example, pilot-induced oscillations (Klyde & McRuer, 2009).…”

Section: Introductionmentioning

confidence: 99%

“…In terms of mathematical modelling of human behaviour, many studies focus on developing a representative transfer function of the human in a specific task within a certain frequency band. Along these lines, we cite three key models; (i) human driver models (Helbing, 2001), (ii) McRuer cross-over model (McRuer, 1974), and (iii) Neal-Smith pilot model; for example, see Schmidt and Bacon (1983), Thurling (2000), Ryu and Andrisani (2003) and Witte (2004), Miller (2011). Human driver models are proposed in the context of car driving, specifically in longitudinal car-following tasks in a fixed lane.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Stability limit of human-in-the-loop model reference adaptive control architectures

Yucelen

Yıldız

Sipahi

et al. 2017

International Journal of Control

View full text Add to dashboard Cite

Model reference adaptive control (MRAC) offers mathematical and design tools to effectively cope with many challenges of real-world control problems such as exogenous disturbances, system uncertainties and degraded modes of operations. On the other hand, when faced with human-in-the-loop settings, these controllers can lead to unstable system trajectories in certain applications. To establish an understanding of stability limitations of MRAC architectures in the presence of humans, here a mathematical framework is developed whereby an MRAC is designed in conjunction with a class of linear human models including human reaction delays. This framework is then used to reveal, through stability analysis tools, the stability limit of the MRAC-human closed-loop system and the range of model parameters respecting this limit. An illustrative numerical example of an adaptive flight control application with a Neal-Smith pilot model is presented to demonstrate the effectiveness of developed approaches.

show abstract

Section: Problem Formulationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Stability limit of human-in-the-loop model reference adaptive control architectures

Yucelen

Yıldız

Sipahi

et al. 2017

International Journal of Control

View full text Add to dashboard Cite

show abstract

“…Although flying quality research in linear models is quite advanced, the obtained flying qualities criteria cannot be generally applied [1].…”

Section: Introductionmentioning

confidence: 99%

Dependence of the Oscillatory Movements of an Unmanned Aerial Vehicle on the Forward Velocity

Fortis

Bálint

Fortiş

2013

2013 15th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing

View full text Add to dashboard Cite

If, during a longitudinal flight with constant forward velocity of an unmanned aerial vehicle (UAV), the automatic flight control system (AFCS) fails and the elevator deflection is not in the safe interval, then the flight becomes oscillatory. In this paper, the dependence of the safe interval, the period of oscillations and the ranges of variations of the pitch rate and of the angle of attack on the variation of the forward velocity are investigated numerically, in the context of a fixed value for the elevator deflection and for certain given initial conditions, by using an Scala-based Akka actor system. It is shown numerically that, for increasing values of the forward velocity, the period of oscillations and the crossection of the safe interval are decreasing. The same descending trend can be observed concerning the dependence of the ranges of the angle of attack and pitch rate, when the forward velocity increases.

show abstract

“…If pilot controls improper at this time, the adverse APC will take place. And the application of active side stick during this process creates new APC problem of necessity [6][7][8][9] .…”

mentioning

confidence: 99%

Analysis of APC characteristics of control mode switching induced by active side stick

Tan

Zhang

2012

AIAA Atmospheric Flight Mechanics Conference

View full text Add to dashboard Cite

In this investigation the flight control mode switching from cruise mode to air fight mode was studied.The active side stick was used to lead pilot control behavior in this process. And the characteristics of aircraft-pilot coupling of control mode switching were discussed. Firstly, based on the Hess structural pilot model and the Unified Theory, the models of aircraft-pilot system with cruise mode, with air fight mode and with multi-mode switching from cruise mode to air fight mode are constructed and exercised. Pilots' behaviors with above three control modes were induced by active side stick. When the control modes of the F16 aircraft were switched, the pilot models were also changed after an adaptive time. The adaptive time of pilot was got hold of abundant flight simulation in longitudinal pitch tracking task. Secondly, from the closed-loop aircraft-pilot system simulation with control mode switching, the effect of the tactile cueing information was analyzed. And the results showed that the tactile cueing information of active side stick can impact the pilots' tracking performance. Finally, based on the Unified Theory, a method for estimating the nonlinear closed-loop system handling qualities and pilot induced oscillation were provided. To the question of using Hess Unified Theory to estimate multi-mode switching systems, this article gives the suggestion to deal with it.

show abstract

Longitudinal Flying Qualities Prediction for Nonlinear Aircraft

Cited by 9 publications

References 6 publications

Stability limit of human-in-the-loop model reference adaptive control architectures

Stability limit of human-in-the-loop model reference adaptive control architectures

Dependence of the Oscillatory Movements of an Unmanned Aerial Vehicle on the Forward Velocity

Analysis of APC characteristics of control mode switching induced by active side stick

Contact Info

Product

Resources

About