Towards a PIO II Criterion: Improving the Pilot Modeling

Toader, Adrian; Ursu, Ioan

doi:10.1007/978-3-642-32548-9_4

Cited by 2 publications

(9 citation statements)

References 7 publications

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“…This article continues the concern decribed in previous studies [15][16][17][18][19] with the design of the pilot OCM in the framework of time-delay synthesis. 22 The pure time-delay u t À ð Þ, characterizing the 'central nervous block' of the pilot reaction, is reconsidered and shared for technical reasons into two equal parts: for the output measurement equation and for the input control.…”

Section: Introductionmentioning

confidence: 89%

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Pilot modeling based on time-delay synthesis

Toader

Ursu

2013

Proceedings of the Institution of Mechanical Engineers, Part G:

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A review of some human pilot models of the years 1970-1990 -the Kleinman-Baron-Levison optimal control model, the Davidson-Schmidt modified optimal control model, and the Hess optimal control model -has been presented from the perspective of a new model based on the optimal control synthesis of time-delay systems. In the first of the listed models, the 'central nervous' reaction of the pilot is naturally defined as a pure time delay in the measurement equation of the system. In the framework of the optimal control theory, the pilot's behavior is modeled by linear quadratic regulator gain and Kalman-Bucy filter with a linear predictor. Starting from this optimal model of the 1970s, the other two models assumed the Padé approximation of the pure time delay, thus eliminating the linear predictor. In this article, the pure time delay of pilot reaction was reconsidered and divided, for convenience, into two equal parts: for the output measurement equation and for the input control. The pilot model problem has been first defined in the framework of rigorous time-delay synthesis and then solved by making reference to the control separation and duality principles. A closed-form expression of the solution is thereby obtained. The proposed model was then compared by numerical simulations with Kleinman and Hess consacrated models. The analysis of the results shows that this new pilot model is described by a simplified representation, instead denoting similar performance versus previous optimal models -which contains additional insertions as Kleinman-Baron predictor or Padé approximation, respectively. Finally, joint evaluation of the proposed model and Kleinman and Hess models with respect to the well-known Neal-Smith criterion confirms the consistency and viability of the employed strategy as a possible tool for pilot-induced oscillations phenomenon investigation.

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Section: Introductionmentioning

confidence: 89%

“…The aircraft dynamics are written in the form of a linear time invariant system 4,5,10,11,[15][16][17][18][19] …”

Section: Time-delay Synthesis Problem For the Pilot Ocmmentioning

confidence: 99%

Pilot modeling based on time-delay synthesis

Toader

Ursu

2013

Proceedings of the Institution of Mechanical Engineers, Part G:

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“…This does not exclude strongly nonlinear saturation phenomena during operation: amplitude saturation (which derive from a constructive-functional constraint), and rate saturation (which is an energy constraint, in other words, an oil flow limitation). [39] An approach in the framework of the semi global stabilization theory for the pilotaircraft system subject to both position and rate saturations was done in [27]. Obviously, the…”

Section: Pilot Ocm As a Linear Quadratic Gaussian (Lqg) Paradigm Givmentioning

confidence: 99%

“…6. This diagram describes the simplified and established servo actuator model with rate saturation [16], [26], [27], [37] (an easily different scheme is proposed in [42] …”

Section: Incas Bulletin Volume 5 Issue 2/ 2013mentioning

confidence: 99%

“…Therefore, a challenge faced by researchers over time was to reduce the conservatism inherent to any theorem expressed as a sufficient condition, in other words, to reduce the "distance" between a sufficient condition and a sufficient and necessary condition. A common idea was this: more restrictions will be imposed on the nonlinear part modeling as a control law synthesis is based on the hypothesis that "the pilot behaves optimally" [21]- [27]. Thus, the pilot action is seen as: a) an observation component, b) a "mental" component, analogous to a Linear Quadratic Gaussian (LQG) controller, c) a decisional, "central nervous" component analogous to a dynamic predictor and d) an actuating, neuromuscular component.…”

Section: Introductionmentioning

confidence: 99%

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