| 序号 | 专利名 | 申请号 | 申请日 | 公开（公告）号 | 公开（公告）日 | 发明人 |
|---|---|---|---|---|---|---|
| 121 | Piezo electric actuator method and apparatus | EP89301197.3 | 1989-02-08 | EP0328363A2 | 1989-08-16 | Brennan, Brian William |
An optical fibre (12) is connected to a structure (10) so as to be deformed by the latter's movement. Light is directed into the optical fibre (12) and a detector (16) detects changes in the light signal indicating movement of the fibre (12) caused by movement or deformation of the structure (10). The detector output is processed (17) so as to operate one or more piezo-electric actuators (34,36) attached to the structure (10). The piezo-electric actuators (34,36) may therefore dampen the movement of the structure (10) or may be used to re-position the structure (10). The structure (10) may be an aerofoil for example. |
||||||
| 122 | SYSTEMS AND METHODS FOR NOISE MITIGATION FOR HYBRID AND ELECTRIC AIRCRAFT | US15975220 | 2018-05-09 | US20180327081A1 | 2018-11-15 | Lenny Gartenberg; Richard P. Anderson; Borja Martos |
| A system and method of noise mitigation for hybrid and electric aircraft, the aircraft having a controllable pitch propeller or rotor(s) with a plurality of blades. The propeller or rotor(s) are driven by a drive system to provide thrust for the aircraft, and the blades of the propeller or rotor(s) are further movable about pivot axis to vary a pitch thereof. A controller on-board the aircraft is operable to cause rotation or movement of the blades of the propeller or rotor(s) about their pivot axis to alter and/or focus at least one aspect of the propeller generated noise to reduce or mitigate such noise while maintaining a substantially constant thrust, altitude, and/or air speed of the aircraft. | ||||||
| 123 | AIRCRAFT CABIN NOISE REDUCTION SYSTEMS AND METHODS | US15591002 | 2017-05-09 | US20180327076A1 | 2018-11-15 | Brian J. Tillotson |
| Systems and methods according to one or more embodiments are provided for reducing noise levels in a passenger cabin of an aircraft. In one example, an aircraft includes a wing coupled to a fuselage. The wing is configured to heat air to provide a first stream of air from a central portion of a wing segment of the wing extending between the fuselage and a first engine of an aircraft. The first stream of air is at a higher temperature than an adjacent stream of air from the wing. | ||||||
| 124 | A SHROUD FOR AN AIRCRAFT | US15576799 | 2016-05-25 | US20180305004A1 | 2018-10-25 | Samuel Seamus ROWE; Shuan Taggart Pentecost |
| A shroud for an aircraft having a noise reducing material on or in an inner surface of the shroud adjacent to one or more tips of the propeller. The noise reducing material is preferably an electrospun nanomaterial, particularly a ridged composite acoustic nanofibre. The interior surface of the shroud may be provided with a plurality of sound deflectors configured to dissipate sound by reflection and refraction, and absorb sound into the shroud body. The sound deflectors may be ribs or arrangements of discrete reflector elements. | ||||||
| 125 | Delivery sound masking and sound emission | US15479016 | 2017-04-04 | US10102493B1 | 2018-10-16 | Brian C. Beckman; Jack Erdozain, Jr.; Fabian Hensel; David Lindskog; Sheridan Leigh Martin |
| An unmanned aerial vehicle (UAV) may emit masking sounds during operation of the UAV to mask other sounds generated by the UAV during operation. The UAV may be used to deliver items to a residence or other location associated with a customer. The UAV may emit sounds that mask the conventional sounds generated by the propellers and/or motors to cause the UAV to emit sounds that are pleasing to bystanders or do not annoy the bystanders. The UAV may emit sounds using speakers or other sound generating devices, such as fins, reeds, whistles, or other devices which may cause sound to be emitted from the UAV. Noise canceling algorithms may be used to cancel at least some of the conventional noise generated by operation of the UAV using inverted sounds, while additional sound may be emitted by the UAV, which may not be subject to noise cancellation. | ||||||
| 126 | ACTIVE AIRBORNE NOISE ABATEMENT | US15936928 | 2018-03-27 | US20180286372A1 | 2018-10-04 | Brian C. Beckman; Gur Kimchi |
| Noises that are to be emitted by an aerial vehicle during operations may be predicted using one or more machine learning systems, algorithms or techniques. Anti-noises having equal or similar intensities and equal but out-of-phase frequencies may be identified and generated based on the predicted noises, thereby reducing or eliminating the net effect of the noises. The machine learning systems, algorithms or techniques used to predict such noises may be trained using emitted sound pressure levels observed during prior operations of aerial vehicles, as well as environmental conditions, operational characteristics of the aerial vehicles or locations of the aerial vehicles during such prior operations. Anti-noises may be identified and generated based on an overall sound profile of the aerial vehicle, or on individual sounds emitted by the aerial vehicle by discrete sources. | ||||||
| 127 | VIRTUAL AERODYNAMIC SURFACE SYSTEMS | US15977174 | 2018-05-11 | US20180257756A1 | 2018-09-13 | Teresa M. Kruckenberg; Vijay V. Pujar; Robert L. Braden |
| A method of generating a pressure wave proximate an airflow surface and altering airflow to promote a localized lowering of skin friction over the airflow surface is described herein. A series of pressure waves may be configured to create a virtual riblet to control turbulent vortices in a boundary layer adjacent to the airflow surface creating a virtual riblet. The pressure waves may be configured to prevent disruption of the flow of air relative to at least one of a step or a gap associated with the airflow surface. The pressure wave generating system may be comprised of at least one of a thermoacoustic material, a piezoelectric material and a semiconductor material, and a microelectric circuit. | ||||||
| 128 | Active airborne noise abatement | US15725633 | 2017-10-05 | US09959860B2 | 2018-05-01 | Brian C. Beckman; Gur Kimchi |
| Noises that are to be emitted by an aerial vehicle during operations may be predicted using one or more machine learning systems, algorithms or techniques. Anti-noises having equal or similar intensities and equal but out-of-phase frequencies may be identified and generated based on the predicted noises, thereby reducing or eliminating the net effect of the noises. The machine learning systems, algorithms or techniques used to predict such noises may be trained using emitted sound pressure levels observed during prior operations of aerial vehicles, as well as environmental conditions, operational characteristics of the aerial vehicles or locations of the aerial vehicles during such prior operations. Anti-noises may be identified and generated based on an overall sound profile of the aerial vehicle, or on individual sounds emitted by the aerial vehicle by discrete sources. | ||||||
| 129 | Dynamically detecting resonating frequencies of resonating structures | US14721751 | 2015-05-26 | US09906201B2 | 2018-02-27 | Poi Loon Tang; Teuvo Saario; Reza Pedrami |
| There is described herein a real-time scheme, implementable in software, hardware, or a combination thereof, to detect a resonating frequency of a structure from a sensed signal and dynamically set the center frequency of an adaptive compensator for effective attenuation of the resonating frequency. | ||||||
| 130 | ACTIVE AIRBORNE NOISE ABATEMENT | US15725633 | 2017-10-05 | US20180040316A1 | 2018-02-08 | Brian C. Beckman; Gur Kimchi |
| Noises that are to be emitted by an aerial vehicle during operations may be predicted using one or more machine learning systems, algorithms or techniques. Anti-noises having equal or similar intensities and equal but out-of-phase frequencies may be identified and generated based on the predicted noises, thereby reducing or eliminating the net effect of the noises. The machine learning systems, algorithms or techniques used to predict such noises may be trained using emitted sound pressure levels observed during prior operations of aerial vehicles, as well as environmental conditions, operational characteristics of the aerial vehicles or locations of the aerial vehicles during such prior operations. Anti-noises may be identified and generated based on an overall sound profile of the aerial vehicle, or on individual sounds emitted by the aerial vehicle by discrete sources. | ||||||
| 131 | Propeller | US14560964 | 2014-12-04 | US09849968B2 | 2017-12-26 | Jonathon J. Linch; Kyle M. Rahrig |
| A propeller includes a hub coaxially surrounding a longitudinal axis. A ring shroud coaxially surrounds the longitudinal axis and is spaced radially from the hub. At least one propeller blade is fixedly attached to both the hub and ring shroud and extends radially therebetween for mutual rotation therewith. At least one stub blade has a first stub end radially spaced from a second stub end. The first stub end is fixedly attached to a selected one of the hub and ring shroud. The second stub end is cantilevered from the first stub end and is radially interposed between the first stub end and the selected one of the hub and ring shroud. | ||||||
| 132 | Propeller sound field modification systems and methods | US14054792 | 2013-10-15 | US09816529B2 | 2017-11-14 | Michael D. Grissom; Gary H. Koopman |
| A propeller system for an aircraft includes an assembly for modifying a sound field of the propeller system. The propeller system includes a rotor supported for rotation about a rotor axis. The rotor has a central hub and a plurality of blades each extending outwardly from the hub to a tip. The rotor and blades are operable to propel an aircraft to travel in a direction. The rotor blades define a rotor plane perpendicular to the rotor axis. The blade tips define a circumferential rotational path as the blades are rotated by the rotor. The propeller system includes an acoustic resonator or multiple resonators having openings disposed within a distance to the propeller blade tip that is small compared to the wavelength of the propeller's fundamental blade tone and proximate to the rotor plane. The resonators are excited by tip flow of the blade as it passes the opening. The acoustic resonators are configured and positioned so as to direct acoustic energy to modify the sound field of the propeller system at blade pass or higher harmonic frequency tones in a desired direction relative to the aircraft. | ||||||
| 133 | Unmanned aerial vehicle motor driving randomization for noise abatement | US15226492 | 2016-08-02 | US09802702B1 | 2017-10-31 | Brian C. Beckman; Fabian Hensel; Atishkumar Kalyan; Gur Kimchi |
| This disclosure is directed to varying a speed of one or more motors in an unmanned aerial vehicle (UAV) to reduce unwanted sound (i.e., noise) of the UAV. A UAV may include motors coupled with propellers to provide lift and propulsion to the UAV in various stages of flight, such as while ascending, descending, hovering, or transiting. The motors and propellers may generate noise, which may include a number of noise components such as tonal noise (e.g., a whining noise such as a whistle of a kettle at full boil) and broadband noise (e.g., a complex mixture of sounds of different frequencies, such as the sound of ocean surf). By varying the controls to the motors, such as by varying the speed or revolutions per minute (RPM) of a motor during operation by providing random or pseudo-random RPM variations, the UAV may generate a noise signature with reduced tonal noise. | ||||||
| 134 | Active airborne noise abatement | US15237446 | 2016-08-15 | US09786265B2 | 2017-10-10 | Brian C. Beckman; Gur Kimchi |
| Noises that are to be emitted by an aerial vehicle during operations may be predicted using one or more machine learning systems, algorithms or techniques. Anti-noises having equal or similar intensities and equal but out-of-phase frequencies may be identified and generated based on the predicted noises, thereby reducing or eliminating the net effect of the noises. The machine learning systems, algorithms or techniques used to predict such noises may be trained using emitted sound pressure levels observed during prior operations of aerial vehicles, as well as environmental conditions, operational characteristics of the aerial vehicles or locations of the aerial vehicles during such prior operations. Anti-noises may be identified and generated based on an overall sound profile of the aerial vehicle, or on individual sounds emitted by the aerial vehicle by discrete sources. | ||||||
| 135 | AERIAL VEHICLE WITH DIFFERENT PROPELLER BLADE CONFIGURATIONS | US15194484 | 2016-06-27 | US20170274993A1 | 2017-09-28 | Brian C. Beckman; John Raymond Brodie; Vedran Coralic; Taylor David Grenier; Gur Kimchi; Dominic Timothy Shiosaki; Ricky Dean Welsh; Richard Philip Whitlock |
| Sounds are generated by an aerial vehicle during operation. For example, the motors and propellers of an aerial vehicle generate sounds during operation. Disclosed are systems, methods, and apparatus for actively adjusting the position and/or configuration of one or more propeller blades of a propulsion mechanism to generate different sounds and/or lifting forces from the propulsion mechanism. | ||||||
| 136 | SELECTIVELY THRUSTING PROPULSION UNITS FOR AERIAL VEHICLES | US15585058 | 2017-05-02 | US20170274981A1 | 2017-09-28 | Dominic Timothy Shiosaki; Ricky Dean Welsh |
| Aerial vehicles may include propulsion units having motors with drive shafts that may be aligned at a variety of orientations, propellers with variable pitch blades, and common operators for aligning the drive shafts at one or more orientations and for varying the pitch angles of the blades. The common operators may include plate elements to which a propeller hub is rotatably joined, and which may be supported by one or more linear actuators that may extend or retract to vary both the orientations of the drive shafts and the pitch angles of the blades. Operating the motors and propellers at varying speeds, gimbal angles or pitch angles enables the motors to generate forces in any number of directions and at any magnitudes. Attributes of the propulsion units may be selected in order to shape or control the noise generated thereby. | ||||||
| 137 | CARBON NANOTUBE TRANSDUCERS ON PROPELLER BLADES FOR SOUND CONTROL | US15189849 | 2016-06-22 | US20170178618A1 | 2017-06-22 | Brian C. Beckman; Vedran Coralic; Gur Kimchi |
| The present disclosure is directed to controlling, reducing, and/or altering sound generated by an aerial vehicle, such as an unmanned aerial vehicle (“UAV”), while the aerial vehicle is airborne. For example, one or more transducers, such as piezoelectric thin-film transducers, or carbon nanotube transducers may be applied or incorporated into or on the surface of propeller blades that are used to aerially navigate the aerial vehicle. As the propeller blade rotates and generates sound, the transducers may be activated to generate one or more anti-sounds that cancel, reduce, or otherwise modify the sound generated by the rotation of the propeller blade. The anti-sound combines with the sound and causes interference such that the combined, or net-effect, is an overall cancellation, reduction, or other modification of the sound. | ||||||
| 138 | PROPELLER SURFACE AREA TREATMENTS FOR SOUND DAMPENING | US14975236 | 2015-12-18 | US20170174338A1 | 2017-06-22 | Brian C. Beckman; Gur Kimchi; Allan Ko |
| Sounds are generated by an aerial vehicle during operation. For example, the motors and propellers of an aerial vehicle generate sounds during operation. Disclosed are systems, methods, and apparatus for actively adjusting the position of one or more propeller blade treatments of a propeller blade of an aerial vehicle during operation of the aerial vehicle. For example, the propeller blade may have one or more propeller blade treatments that may be adjusted between two or more positions. Based on the position of the propeller blade treatments, the airflow over the propeller is altered, thereby altering the sound generated by the propeller when rotating. By altering the propeller blade treatments on multiple propeller blades of the aerial vehicle, the different sounds generated by the different propeller blades may effectively cancel, reduce, and/or otherwise alter the total sound generated by the aerial vehicle. | ||||||
| 139 | ACTIVE AIRBORNE NOISE ABATEMENT | US15237446 | 2016-08-15 | US20170154618A1 | 2017-06-01 | Brian C. Beckman; Gur Kimchi |
| Noises that are to be emitted by an aerial vehicle during operations may be predicted using one or more machine learning systems, algorithms or techniques. Anti-noises having equal or similar intensities and equal but out-of-phase frequencies may be identified and generated based on the predicted noises, thereby reducing or eliminating the net effect of the noises. The machine learning systems, algorithms or techniques used to predict such noises may be trained using emitted sound pressure levels observed during prior operations of aerial vehicles, as well as environmental conditions, operational characteristics of the aerial vehicles or locations of the aerial vehicles during such prior operations. Anti-noises may be identified and generated based on an overall sound profile of the aerial vehicle, or on individual sounds emitted by the aerial vehicle by discrete sources. | ||||||
| 140 | AIRCRAFT | US14896008 | 2015-03-25 | US20160129988A1 | 2016-05-12 | Gerhard T. MEIER; Otmar BIRKNER |
| The invention relates to an aircraft with a thrust propeller (18), a tail unit (20) and a connection (22) by means of which the tail unit (20) is fastened.According to the invention, it is provided that the connection (22) has a sound-absorbing structure (24). | ||||||
QQ群二维码
意见反馈
意见反馈