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Helicopter Control Energy Reduction Using Moving Horizontal Tail.

Oktay T, Sal F - ScientificWorldJournal (2015)

Bottom Line: Control energy savings due to this MHT idea with respect to a conventional helicopter are calculated.Parameters of helicopter FCS and dimensions of MHT are simultaneously optimized using a stochastic optimization method, namely, simultaneous perturbation stochastic approximation (i.e., SPSA).In order to observe improvement in behaviors of classical controls closed loop analyses are done.

View Article: PubMed Central - PubMed

Affiliation: College of Aviation, Erciyes University, 38039 Kayseri, Turkey.

ABSTRACT
Helicopter moving horizontal tail (i.e., MHT) strategy is applied in order to save helicopter flight control system (i.e., FCS) energy. For this intention complex, physics-based, control-oriented nonlinear helicopter models are used. Equations of MHT are integrated into these models and they are together linearized around straight level flight condition. A specific variance constrained control strategy, namely, output variance constrained Control (i.e., OVC) is utilized for helicopter FCS. Control energy savings due to this MHT idea with respect to a conventional helicopter are calculated. Parameters of helicopter FCS and dimensions of MHT are simultaneously optimized using a stochastic optimization method, namely, simultaneous perturbation stochastic approximation (i.e., SPSA). In order to observe improvement in behaviors of classical controls closed loop analyses are done.

No MeSH data available.


(a) Collective MHT angle, (b) left negative and right positive differential MHT angles, and (c) right negative and left positive differential MHT angles.
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fig3: (a) Collective MHT angle, (b) left negative and right positive differential MHT angles, and (c) right negative and left positive differential MHT angles.

Mentions: MHT angles (i.e., collective and differential) are illustrated in Figure 3. Collective motion refers to the movement of left and right horizontal tails in the same direction and magnitude simultaneously. On the other hand, differential motion refers to the movement of them in the opposite direction and the same magnitude simultaneously.


Helicopter Control Energy Reduction Using Moving Horizontal Tail.

Oktay T, Sal F - ScientificWorldJournal (2015)

(a) Collective MHT angle, (b) left negative and right positive differential MHT angles, and (c) right negative and left positive differential MHT angles.
© Copyright Policy - open-access
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC4477250&req=5

fig3: (a) Collective MHT angle, (b) left negative and right positive differential MHT angles, and (c) right negative and left positive differential MHT angles.
Mentions: MHT angles (i.e., collective and differential) are illustrated in Figure 3. Collective motion refers to the movement of left and right horizontal tails in the same direction and magnitude simultaneously. On the other hand, differential motion refers to the movement of them in the opposite direction and the same magnitude simultaneously.

Bottom Line: Control energy savings due to this MHT idea with respect to a conventional helicopter are calculated.Parameters of helicopter FCS and dimensions of MHT are simultaneously optimized using a stochastic optimization method, namely, simultaneous perturbation stochastic approximation (i.e., SPSA).In order to observe improvement in behaviors of classical controls closed loop analyses are done.

View Article: PubMed Central - PubMed

Affiliation: College of Aviation, Erciyes University, 38039 Kayseri, Turkey.

ABSTRACT
Helicopter moving horizontal tail (i.e., MHT) strategy is applied in order to save helicopter flight control system (i.e., FCS) energy. For this intention complex, physics-based, control-oriented nonlinear helicopter models are used. Equations of MHT are integrated into these models and they are together linearized around straight level flight condition. A specific variance constrained control strategy, namely, output variance constrained Control (i.e., OVC) is utilized for helicopter FCS. Control energy savings due to this MHT idea with respect to a conventional helicopter are calculated. Parameters of helicopter FCS and dimensions of MHT are simultaneously optimized using a stochastic optimization method, namely, simultaneous perturbation stochastic approximation (i.e., SPSA). In order to observe improvement in behaviors of classical controls closed loop analyses are done.

No MeSH data available.