Browse Topic: Center of gravity (CG)
This paper presents results of flight tests conducted on a coaxial ultralight helicopter. An automated flight test evaluation method is presented and exemplified through its application to steady horizontal flight. The results shown include pilot controls, helicopter attitude angles, power, thrust and torque distribution between the rotors, rotor harmonic thrust components, and teeter angles, along with their rotor harmonic components across varying flight speeds. This study focuses on the dependencies of these parameters on center of gravity position and sideslip angle.
A 4.75-ft diameter hingeless hub proprotor model was wind tunnel tested up to the very high speeds of 205 knots, loosely corresponding to 480 knots full-scale, with parametric variations in blades, wing spar, and pylon center of gravity. Testing revealed that a gimballed-hub configuration that reached whirl flutter at 160 knots was completely stabilized when converted to a hingeless hub – using identical blades, span, and pylon. While the gimballed-hub model encountered whirl flutter at 160 knots, the hingeless-hub configuration remained stable throughout the entire test envelope up to 205 knots. The key conclusions are that a hingeless hub can eliminate whirl flutter, and that the most stable configuration is a swept-tip blade hingeless-hub rotor with the pylon center of gravity aft of the wing spar.
This study investigates the use of machine learning (ML) models to estimate the gross weight (GW), the longitudinal position of the center of gravity (CGx), and 1/rev cyclic flapping angles (Δ1c and Δ1s) of a compound helicopter with three redundant controls - main rotor RPM, collective propeller thrust, and stabilator angle. Neural Network (NN), Gaussian Process for Regression (GPR), and Support Vector Machine (SVM) algorithms are employed to develop estimation models using supervised training. The airspeed, redundant controls, main rotor controls, aircraft attitudes, and main rotor torque are selected as input variables (predictors) to the models due to their accessibility through the aircraft Health and Usage Monitoring System (HUMS). The dataset is split into low-speed and high-speed regimes to compare the prediction accuracy and training cost of separate regime models against a combined full-regime model. Separate airspeed regime GPR models showed superior performance in GW estimation, with higher accuracy and cost-effectiveness compared to a single full-regime model. For CG estimation, GPR again outperformed NN and SVM, although the maximum outlier errors increase significantly if a 95% confidence interval is considered. Finally, for 1/rev cyclic flapping angle predictions, SVM estimations, though not superior to GPR or NN, were acceptable and had a significantly lower computational cost. The study also examined the importance of predictors, highlighting that, on average, certain predictors like rotor RPM and rotor torque are less influential, but their removal degraded performance and had no cost benefit.
Weight and balance activities are widely recognized and understood as important steps in the operation and maintenance of an aircraft to ensure safe and efficient flight. From the pilot's perspective, the operational limits and maneuverability of the aircraft are directly linked to the weight and balance of the aircraft. From a structural perspective, fatigue damage can vary significantly with center of gravity position and gross weight. In-flight center of gravity and gross weight estimation has been pursued for many years with varying success. One of the major challenges is the lack of data to verify an estimation model, since these parameters cannot be easily measured using sensors in flight. This paper reviews in detail the requirement and challenges of accurately monitoring center of gravity and gross weight. In addition, a survey of published work on the estimation of these values is provided. These efforts are divided into four categories: helicopter dynamic models, performance charts, state estimation, and machine learning methods.
Hingeless proprotor whirl flutter in cruise flight is investigated using comprehensive rotorcraft analysis codes CAM- RAD II and RCAS. Generic hingeless proprotor designs include conventional soft-inplane and stiff-inplane rotors operating at cruise tip speeds typical of existing tiltrotor systems, and a rotor which exhibits higher frequencies and operates at much lower cruise tip speed than existing rotor designs. The effects of blade elasticity, density, speed of sound, unsteady aerodynamics, and realistic airfoil tables on whirl flutter speed are examined. The US Army and NASA have been developing a new wind tunnel test system, TiltRotor Aeroelastic Stability Testbed (TRAST), and preliminary analysis for a notional TRAST hingeless rotor is also presented. The effects of precone, center of gravity, rotor rotational speed, and density on the TRAST whirl flutter stability are examined. CAMRAD II and RCAS show consistently excellent agreement with each other for wide variations of design variables and operating conditions.
Helicopters with performance enhancing aft swept blade wingtips are used for both military and commercial purposes. Up until now, there are no research projects studying helicopter blades with forward swept wingtips. A forward swept blade wingtip generates significant amounts of nose-up aerodynamic pitching moments with respect to the blade feathering axis. For a conventional pitch-horn rotor, this type of control system cannot effectively produce large enough nose-down pitching moments to counteract the nose-up pitching moments generated by the swept portion of the blade. The main goal of this paper is to generate ample nose-down pitching moments via servo-flap aerodynamic action to overcome the swept blade's nose-up pitching moments while maintaining an adequate control safety margin for flight. These nosedown pitching moments depend on (i) the size of the servo-flap, (ii) the distance from the servo-flap pitch axis to blade feathering axis, and (iii) the servo-flap location with respect to the blade. There are three additional reasons for selecting a servo-flap rotor control as the primary control system when designing the blade with forward swept wingtips. (i) The overall blade chordwise center of gravity (c.g.) moves forward due to the forward swept wingtip, resulting in a lighter blade with less ballast weight. (ii) The required aerodynamic downloads on the flap is reduced in flight due to positive blade local angle of attacks generated by the blade's nose-up pitching moments. Positive servo-flap aerodynamics on the flap unloads the main rotor blade required lift and improves the blade flight performance. (iii) The feedback control system incorporated into the existing production blades is used to reduce the flap control requirements and to provide stability for the rotor system in flight. Several numerical examples are investigated to verify the potential blade design with forward swept effect.
This paper describes the development of a compact and re-configurable rotary-wing micro air vehicle (MAV) that is capable of sustained hover and could potentially be launched from a 40 mm grenade launcher in the future. Launching the vehicle as a projectile up to the point of operation could significantly improve the mission range for these energy constrained platforms. The MAV design used coaxial rotors with foldable blades, a thrust-vectoring mechanism for pitch and roll control, and a strict constraint on the outer diameter, which was relaxed to 52 mm for this study. Yaw control was accomplished by using a specialized counter-rotating motor that is composed of two independently controlled motors. Passive unfolding of the coaxial rotor blades utilizing centrifugal force was demonstrated. The vehicle attitude was stabilized in hover using a closed-loop proportional-derivative controller implemented on a 1.7 gram custom autopilot. Through systematic trimming and tuning of the feedback gains, the vehicle was able to achieve stable hover. When the vehicle was subjected to large impulsive pitch and roll perturbations, the feedback controller was able to successfully reject the disturbance and return the vehicle to a stable hover within a second. In parallel, an analogue of the flying vehicle or a "dummy" was built and launched using a pneumatic canon to understand the dynamics of the vehicle during the projectile phase without risking the actual flying vehicle. The launch demonstrated that with the right center of gravity location, the present vehicle configuration could be stable during the projectile flight even without fins.
This paper studies aerodynamic effects of ground on regressive lag mode damping during ground resonance. The experimental investigation is performed on a scaled helicopter model built to simulate the ground resonance scenario. The study involves both stationary as well as dynamic (oscillating) ground conditions. Experiments are conducted by measuring lead-lag damping at different rotor speeds (in the ground resonance regime) for different collective inputs. Results show that ground and its dynamics have a significant effect on regressive lead-lag mode damping during ground resonance. NOTATION e Hinge offset h Distance between rotor hub center and pitch/roll axis Ib Lead-lag moment of inertia for blade kG Thrust augmentation factor Mb Mass of the blade R Rotor radius Rcg Center of gravity of blade Ω Rotor anglular speed θ0 Collective input of blade pitch IGE In ground effect IMU Inertial Measurement Unit MPM Matrix Pencil Method OGE Out of ground effect RLM Regressive lead-lag mode damping during ground resonance.
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