TWI748849B - Stunt control device for unmanned aerial vehicle formation flying smoke pulling - Google Patents
Stunt control device for unmanned aerial vehicle formation flying smoke pulling Download PDFInfo
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Abstract
一種無人機編隊飛行拉煙特技控制裝置,係設置在數個無人機上,該些無人機包括一領航無人機與至少一跟隨無人機,而每一無人機各自包括一煙管、一無線通訊機構、一無人機(Unmanned aerial vehicle, UAV)與煙向控制機構、以及一認知規劃決策機構所構成。藉此,本發明所提無人機編隊飛行拉煙特技控制裝置係將各項影響拉煙效果的因素,包含:風速、風向、航向角、航速、煙垂墜速度與方向等進行人工智慧演算,可幫助無人機改善控制、導航與路徑規劃等功能,獲得各項因素的飛行參數,從而使拉煙效果達到最佳。A special effect control device for drones flying in formation and pulling smoke is arranged on several drones. The drones include a pilot drone and at least one follower drone, and each drone includes a smoke pipe and a wireless communication mechanism. , An unmanned aerial vehicle (UAV), smoke direction control mechanism, and a cognitive planning decision-making mechanism. In this way, the drone formation flying smoke pulling stunt control device of the present invention performs artificial intelligence calculations on various factors that affect the smoke pulling effect, including: wind speed, wind direction, heading angle, sailing speed, smoke sag speed and direction, etc. It can help drones to improve functions such as control, navigation and path planning, and obtain flight parameters of various factors, so as to achieve the best smoking effect.
Description
本發明係有關於一種無人機編隊飛行拉煙特技控制裝置,尤指涉 及一種在空中飛行拉煙表演時,利用對無人機編隊飛行即時修正飛行姿態,特別係指可在飛行的過程當中適時修正拉煙方向,使飛行表演能夠在兼顧多變的編隊展演時,亦能同步修正拉煙方向及有效降低成本者。 The present invention relates to a stunt control device for pulling smoke in formation flying by UAVs, especially And a kind of smoke pulling performance in the air, the use of the UAV formation flying to instantly correct the flight attitude, especially refers to the right time to correct the smoke pulling direction during the flight, so that the flight performance can take into account the changeable formation performance, also Those who can simultaneously modify the direction of drawing cigarettes and effectively reduce costs.
每當重大慶典時飛機編隊飛行時,每架飛機都裝有拉煙器,煙霧 拉過天空猶如在天上畫下彩色的線條萬分壯觀,然而要出動飛機所費不貲,由於近年無人機技術發展日益成熟,但相較飛機而言,無人機飛行速度慢,無法像飛機(如:偵測機)一飛就可以在天空拉出一道道漂亮長尾的煙霧,無人機因航速慢,當噴煙的速度不夠快時,使得無人機在進行飛行表演時煙噴離拉煙筒後就歪斜了,無法在拉煙演示後留下筆直的煙霧,降低展演的美感。 Whenever planes fly in formation during major celebrations, each plane is equipped with a smoke puller and smoke Pulling across the sky is like drawing colored lines in the sky. It is very spectacular. However, it is costly to fly the aircraft. Due to the increasing maturity of drone technology in recent years, compared with aircraft, the flying speed of drones is slow and cannot resemble airplanes (such as: Detector) can pull out beautiful long-tailed smoke in the sky as soon as it flies. Due to the slow speed of the drone, when the speed of the smoke is not fast enough, the smoke will be skewed after the smoke is sprayed from the chimney during the flight show. , Can not leave straight smoke after the smoke pulling demonstration, reducing the beauty of the show.
由此可見,上述現有的方式,顯然仍存在不便與缺陷,而有待加 以進一步改進之必要。因此,在空中飛行拉煙表演時,如何能夠兼顧多變的編隊展演、修正拉煙方向及節省成本等問題,則成為了業界需要解決的問題。 It can be seen that the above-mentioned existing methods obviously still have inconveniences and shortcomings, which need to be added. It is necessary for further improvement. Therefore, how to take into account the changeable formation performance, correct the smoke pulling direction and save costs when flying in the air to pull the smoke show, has become a problem that the industry needs to solve.
本發明之主要目的係在於,克服習知技藝所遭遇之上述問題並提 供一種將各項影響拉煙效果的因素,包含:風速、風向、航向角、航速、煙垂 墜速度與方向等進行人工智慧演算,可幫助無人機改善控制、導航與路徑規劃等功能,獲得各項因素的飛行參數,從而使拉煙效果達到最佳之無人機編隊飛行拉煙特技控制裝置。 The main purpose of the present invention is to overcome the above-mentioned problems encountered by conventional techniques and to provide Provide a kind of factors that affect the effect of pulling smoke, including: wind speed, wind direction, heading angle, speed, smoke drop Artificial intelligence calculation of falling speed and direction can help drones improve control, navigation and path planning and other functions, and obtain flight parameters of various factors, so as to achieve the best smoke pulling effect. UAV formation flying smoke pulling stunt control device .
為達以上之目的,本發明係一種無人機編隊飛行拉煙特技控制裝 置,係設置在數個無人機上,該些無人機包括一領航無人機與至少一跟隨無人機,而每一無人機各自包括:一煙管,用以將煙霧噴出配合機體飛行姿態提供一拉煙效果;一無線通訊機構,用以星狀(mesh)無線通訊形式與其它無人機溝通連結並傳送資訊;一無人機(Unmanned aerial vehicle, UAV)與煙向控制機構,連接該無線通訊機構,用以接收一煙向修正飛行編隊訊號以在飛行過程中即時進行機體飛行姿態修正該煙管之拉煙方向,並通過該無線通訊機構傳送該煙向修正飛行編隊訊號給其它無人機使用;以及一認知規劃決策機構,具有人工智慧程式,用以提供該煙向修正飛行編隊訊號給該UAV與煙向控制機構;其中,每一無人機中的該認知規劃決策機構包括連接該無線通訊機構之一任務姿態認知模組、連接該任務姿態認知模組之一協同策略規劃模組、及連接該UAV與煙向控制機構、該無線通訊機構、與該協同策略規劃模組之一飛行行為決策模組,該任務姿態認知模組透過該無線通訊機構接收其它無人機之歐拉角及其位置訊號,根據每一無人機之座標位置及其煙管之座標位置,計算在該些無人機中該領航無人機與該至少一跟隨無人機之間的相對座標位置,產生該領航無人機與該至少一跟隨無人機之編隊資訊,並利用該協同策略規劃模組在該無人機飛行時提供該無人機的即時姿態資料,通過計算歐拉角取得該無人機在每個時間點的位置與定向,同時透過該無線通訊機構接收其它無人機之歐拉角以得到每一無人機飛行姿態,再由該飛行行為決策模組根據風力與所得之歐拉角進行計算以產生該煙向修正飛行編隊訊號並傳送給該UAV與煙向控制機構,該UAV與煙向控制機構根據該煙向修正飛行編隊訊號指示控制機體飛行姿態,藉以修正該煙管之拉煙方向。 In order to achieve the above purpose, the present invention is a stunt control device for UAV formation flying to pull smoke. It is installed on several drones. These drones include a pilot drone and at least one follower drone, and each drone includes: a smoke pipe for spraying smoke to match the flight attitude of the aircraft to provide a pull Smoke effect; a wireless communication mechanism to communicate with other drones and transmit information in the form of mesh wireless communication; an unmanned aerial vehicle (UAV) and smoke direction control mechanism to connect the wireless communication mechanism, Used to receive a smoke direction correction flight formation signal for real-time body flight attitude correction during the flight to correct the smoke drawing direction of the smoke pipe, and transmit the smoke direction correction flight formation signal to other drones through the wireless communication mechanism; and The cognitive planning and decision-making mechanism has an artificial intelligence program to provide the smoke direction correction flight formation signal to the UAV and the smoke direction control mechanism; wherein the cognitive planning and decision-making mechanism in each UAV includes one of the wireless communication mechanisms connected Task attitude recognition module, a cooperative strategy planning module connected to the task attitude recognition module, and a flight behavior decision module connecting the UAV and the smoke direction control mechanism, the wireless communication mechanism, and the cooperative strategy planning module , The task attitude recognition module receives the Euler angles and position signals of other drones through the wireless communication mechanism, and calculates the pilot drone among the drones based on the coordinate position of each drone and the coordinate position of the smoke pipe The relative coordinate position between the drone and the at least one follower drone is used to generate the formation information of the pilot drone and the at least one follower drone, and the coordinated strategy planning module is used to provide the drone's information when the drone is flying. Real-time attitude data, obtain the position and orientation of the drone at each time point by calculating Euler angles, and receive the Euler angles of other drones through the wireless communication mechanism to obtain the flight attitude of each drone. The behavior decision module calculates based on the wind force and the obtained Euler angles to generate the smoke direction correction flight formation signal and send it to the UAV and smoke direction control mechanism. The UAV and smoke direction control mechanism correct the flight formation signal instruction according to the smoke direction. Control the body's flight attitude to correct the direction of the smoke pipe.
於本發明上述實施例中,該任務姿態認知模組係連接一風向風速 計,接收該風向風速計即時測量飛行過程中的一風向角與風速資料。 In the above-mentioned embodiment of the present invention, the task posture recognition module is connected to a wind direction and wind speed Receive the wind direction anemometer to measure a wind direction angle and wind speed data in real time during the flight.
於本發明上述實施例中,該任務姿態認知模組係連接一編隊資料 庫,其記錄有數筆不同隊伍的編隊參數,提供該任務姿態認知模組選擇所需隊伍的編隊參數進行運算以產生該編隊資訊。 In the above embodiment of the present invention, the task posture recognition module is connected to a formation data The database records several formation parameters of different teams, and provides the task attitude recognition module to select the required team formation parameters for calculation to generate the formation information.
於本發明上述實施例中,該任務姿態認知模組具有一座標系統單 元及一編隊系統單元,該座標系統單元用以判斷出無人機之座標位置及其煙管之座標位置,該編隊系統單元根據欲編排的隊伍形式計算出在該些無人機中該領航無人機與該至少一跟隨無人機之間的相對座標位置,產生該領航無人機與該至少一跟隨無人機之編隊資訊。 In the above-mentioned embodiment of the present invention, the task posture recognition module has a standard system list Yuan and a formation system unit. The coordinate system unit is used to determine the coordinate position of the drone and the coordinate position of the smoke pipe. The formation system unit calculates the pilot drone and the pilot drone among the drones according to the team form to be arranged. The relative coordinate position between the at least one following drone generates formation information of the pilot drone and the at least one following drone.
於本發明上述實施例中,該協同策略規劃模組所得之歐拉角係使 用Φ、θ與ψ的3個獨立參數來描述空間的旋轉,該Φ、θ與ψ分別為座標系按先後順序繞x軸、y軸與z軸旋轉之角度,分別由橫滾角Φ、俯仰角θ與偏航角ψ組成。 In the above-mentioned embodiment of the present invention, the Euler angles obtained by the collaborative strategy planning module are used Three independent parameters of Φ, θ, and ψ are used to describe the rotation of space. The Φ, θ, and ψ are the angles of the coordinate system around the x-axis, y-axis, and z-axis in sequence, respectively, from the roll angle Φ, The pitch angle θ and the yaw angle ψ are composed.
於本發明上述實施例中,該無線通訊機構為一LoRa機構、一4G 機構、一WiFi機構、一藍牙(Bluetooth)機構、或其組合。 In the above embodiment of the present invention, the wireless communication mechanism is a LoRa mechanism, a 4G Organization, a WiFi organization, a Bluetooth (Bluetooth) organization, or a combination thereof.
請參閱『第1圖~第5圖』所示,係分別為本發明無人機編隊飛
行拉煙特技控制裝置之基本架構示意圖、本發明無人機編隊飛行拉煙特技控制裝置之細部架構示意圖、本發明機體及其煙管之座標位置示意圖、本發明領航無人機與至少一跟隨無人機之間的相對座標位置示意圖、以及本發明煙管拉煙之受力分析示意圖。如圖所示:本發明係一種無人機編隊飛行拉煙特技控制裝置,係設置在數個無人機1上,該些無人機1包括一領航無人機與至少一跟隨無人機,而每一無人機1各自包括一煙管2、一無線通訊機構3、一無人機(Unmanned aerial vehicle, UAV)與煙向控制機構4、以及一認知規劃決策機構5所構成。
Please refer to "
上述所提之煙管2用以將煙霧噴出配合機體飛行姿態提供一拉
煙效果。
The above mentioned
該無線通訊機構3用以星狀(mesh)無線通訊形式與其它無人
機1溝通連結並傳送資訊。其中,該無線通訊機構3可為一LoRa機構、一4G機構、一WiFi機構、一藍牙(Bluetooth)機構、或其組合。
The
該UAV與煙向控制機構4連接該無線通訊機構3,用以接收一
煙向修正飛行編隊訊號以在飛行過程中即時進行機體飛行姿態修正該煙管2之拉煙方向,並通過該無線通訊機構3傳送該煙向修正飛行編隊訊號給其它無人
機1使用。
The UAV and the smoke
該認知規劃決策機構5具有人工智慧程式,用以提供該煙向修正
飛行編隊訊號給該UAV與煙向控制機構4;其中,每一無人機1中的該認知規劃決策機構5包括連接該無線通訊機構3之一任務姿態認知模組51、連接該任務姿態認知模組51之一協同策略規劃模組52、及連接該UAV與煙向控制機構4、該無線通訊機構3、與該協同策略規劃模組52之一飛行行為決策模組53,而該任務姿態認知模組51具有一座標系統單元及一編隊系統單元(圖中未示),並與一編隊資料庫511連接。如是,藉由上述揭露之結構構成一全新之無人機編隊飛行拉煙特技控制裝置。
The cognitive planning and decision-
於一實施例中,本發明所提任務姿態認知模組51係可與無人機
1上的一風向風速計(圖中未示)連接,接收該風向風速計即時測量飛行過程中的一風向角(θ
wind )與風速(V
wind )資料,如第2圖所示。
In one embodiment, the task
當運用時,該任務姿態認知模組51以該座標系統單元判斷出無
人機之座標位置及其煙管之座標位置,配合第3圖所示,該無人機之座標位置為:
,
;
其中|B|為向量B之模,
為向量B與地面座標系軸
之夾角。
該煙管之座標位置為:
;
其中|S|為向量S之模,
向量S與機體座標系軸
之夾角。
When used, the task
該任務姿態認知模組51可透過該無線通訊機構3接收其它無
人機1之歐拉角(Φ 、θ 、ψ )及其位置訊號,並根據每一無人機1之座標位置及其煙管2之座標位置,從該編隊資料庫511記錄數筆不同隊伍的編隊參數中選擇欲編排的隊伍形式的編隊參數,通過該編隊系統單元計算出在該些無人機1中該領航無人機與該至少一跟隨無人機之間的相對座標位置,產生該領航無人機與該至少一跟隨無人機之編隊資訊。配合第4圖所示,該領航無人機
地面座標位置為:
,
;
至少一跟隨無人機
之地面座標位置為:
,
;
該領航無人機
與該至少一跟隨無人機
地面座標係之相對座標位置為:
;
;
其中
將於編隊資料庫中表示為
,該編隊資料庫511資料結構定義如表一所示:
表一
接著利用該協同策略規劃模組52在該無人機1飛行時提供該
無人機1的即時姿態資料,通過計算歐拉角取得該無人機1在每個時間點的位置與定向,同時透過該無線通訊機構3接收其它無人機1之歐拉角以得到每一無人機飛行姿態。其中,所述歐拉角係使用Φ、θ 與ψ 的3個獨立參數來描述空間的旋轉,該Φ、θ 與ψ分別為座標系按先後順序繞x軸、y軸與z軸旋轉之角度,分別由橫滾角Φ、俯仰角θ 與偏航角ψ 組成,各軸旋轉矩陣分別定義為:
;
;
;
地理座標系統與機體座標系統的轉換矩陣為:
;
Then the collaborative
最後由該飛行行為決策模組53根據風力與所得之歐拉角進行
計算以產生該煙向修正飛行編隊訊號並傳送給該UAV與煙向控制機構4,該UAV與煙向控制機構4根據該煙向修正飛行編隊訊號指示控制機體飛行姿態,藉以修正該煙管2之拉煙方向。配合第5圖所示,該飛行行為決策模組53在
煙之受力分析中,作用於煙的力有三個來源:風力
、重力G 與空氣阻力
,將作用於煙的合外力以地面座標系為參考座標可表示為:
;
由於重力G與空氣阻力
對於煙而言可以視為0,故簡化公式為:
=
;
由於橫滾角ϕ=0,進而簡化公式為:
=
Finally, the flight
藉此,本發明所提無人機編隊飛行拉煙特技控制裝置係將各項影 響拉煙效果的因素,包含:風速、風向、航向角、航速、煙垂墜速度與方向等進行人工智慧演算,可幫助無人機改善控制、導航與路徑規劃等功能,獲得各項因素的飛行參數,從而使拉煙效果達到最佳。 Thereby, the stunt control device for unmanned aerial vehicle formation flying and pulling smoke proposed in the present invention has various effects. The factors that affect the effect of pulling smoke include: wind speed, wind direction, heading angle, speed, smoke sag speed and direction, etc. The artificial intelligence calculation can help the drone to improve the control, navigation and path planning functions, and obtain the flight of various factors. Parameters, so as to achieve the best smoke pulling effect.
因此,本裝置係涉及一種使用人工智慧對無人機進行編隊飛行、 拉煙之特技控制系統,可提供下列功效: 1.可藉由無人機編隊飛行拉煙特技控制裝置取代傳統飛機拉煙表演。 2.無人機編隊飛行控制可應用於其他需要多機協同作業的場合。 3.煙向控制亦可衍生為投掛、丟擲等功能之控制機構。 Therefore, this device involves the use of artificial intelligence to fly formations of drones, The special effect control system for pulling smoke can provide the following functions: 1. The smoke-pulling stunt control device can be used to replace the traditional smoke-pulling performance by drones in formation. 2. UAV formation flight control can be applied to other occasions that require multi-aircraft cooperative operation. 3. Smoke direction control can also be derived as a control mechanism for throwing, throwing and other functions.
綜上所述,本發明係一種無人機編隊飛行拉煙特技控制裝置,可 有效改善習用之種種缺點,在空中飛行拉煙表演時,利用對無人機編隊飛行即 時修正飛行姿態,可在飛行的過程當中適時修正拉煙方向,使飛行表演能夠在兼顧多變的編隊展演時,亦能同步修正拉煙方向及有效降低成本,進而使本發明之產生能更進步、更實用、更符合使用者之所須,確已符合發明專利申請之要件,爰依法提出專利申請。 In summary, the present invention is a stunt control device for unmanned aerial vehicle formation flying to pull smoke, which can Effectively improve the various shortcomings of conventional use. When flying in the air to pull the smoke, use the formation of drones to fly. The flight attitude can be corrected at the same time, and the smoke drawing direction can be corrected in time during the flight, so that the flight performance can also simultaneously correct the smoke drawing direction and effectively reduce the cost when taking into account the changeable formation performance, thereby making the invention more efficient. It is advanced, more practical, and more in line with the needs of users, and it has indeed met the requirements of an invention patent application. A patent application is filed in accordance with the law.
惟以上所述者,僅為本發明之較佳實施例而已,當不能以此限定 本發明實施之範圍;故,凡依本發明申請專利範圍及發明說明書內容所作之簡單的等效變化與修飾,皆應仍屬本發明專利涵蓋之範圍內。 However, the above are only the preferred embodiments of the present invention, and should not be limited by this The scope of implementation of the present invention; therefore, all simple equivalent changes and modifications made in accordance with the scope of the patent application of the present invention and the content of the description of the invention should still fall within the scope of the patent of the present invention.
1:無人機 2:煙管 3:無線通訊機構 4:UAV與煙向控制機構 5:認知規劃決策機構 51:任務姿態認知模組 511:編隊資料庫 52:協同策略規劃模組 53:飛行行為決策模組1: UAV 2: Smoke pipe 3: Wireless communication agency 4: UAV and smoke direction control mechanism 5: Cognitive planning and decision-making institutions 51: Task posture recognition module 511: Formation Database 52: Collaborative strategic planning module 53: Flight behavior decision-making module
第1圖,係本發明無人機編隊飛行拉煙特技控制裝置之基本架構示意圖。 第2圖,係本發明無人機編隊飛行拉煙特技控制裝置之細部架構示意圖。 第3圖,係本發明機體及其煙管之座標位置示意圖。 第4圖,係本發明領航無人機與至少一跟隨無人機之間的相對座標位置示意圖。 第5圖,係本發明煙管拉煙之受力分析示意圖。 Figure 1 is a schematic diagram of the basic structure of the smoke-pulling stunt control device for UAV formation flying in accordance with the present invention. Figure 2 is a schematic diagram of the detailed structure of the smoke-pulling stunt control device for UAV formation flying in accordance with the present invention. Figure 3 is a schematic diagram of the coordinate position of the body and its smoke pipe of the present invention. Figure 4 is a schematic diagram of the relative coordinate positions between the pilot drone of the present invention and at least one following drone. Figure 5 is a schematic diagram of the force analysis of the tobacco pipe of the present invention.
1:無人機 1: drone
2:煙管 2: smoke pipe
3:無線通訊機構 3: Wireless communication agency
4:UAV與煙向控制機構 4: UAV and smoke direction control mechanism
5:認知規劃決策機構 5: Cognitive planning decision-making agency
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