公开(公告)号：AU2021101989A4

公开(公告)日：2021-06-03

申请号：AU2021101989

申请日：2021-04-16

Applicant: ARULARASU S MR ,  CHAKRABARTI PRASUN DR ,  CHAKRABARTI TULIKA DR ,  CHHAWCHHARIA PRADEEP DR ,  GANDI SHYAMSUNDAR DR ,  GANDI SUMAN DR ,  GANTAYAT SASANKO SEKHAR DR ,  HATI ANANDA SHANKAR DR ,  JAYABALAN SUDHARSAN ,  LAKAVAT MOTILAL MR ,  PARNE SAIDI REDDY DR ,  SINGH AJAY KUMAR DR

Inventor： ARULARASU S ,  CHAKRABARTI TULIKA ,  HATI ANANDA SHANKAR ,  CHHAWCHHARIA PRADEEP ,  GANTAYAT SASANKO SEKHAR ,  GANDI SUMAN ,  PARNE SAIDI REDDY ,  LAKAVAT MOTILAL ,  GANDI SHYAMSUNDAR ,  SINGH AJAY KUMAR ,  CHAKRABARTI PRASUN ,  JAYABALAN SUDHARSAN

IPC: G05D1/00 ,  B64C39/02 ,  G05B13/04 ,  G05D1/02 ,  G05D1/08 ,  G05D1/10 ,  G06N3/04 ,  G06N3/08

Abstract: SELF-TUNING CONTROLLER AND TRACKING METHOD FOR AUTONOMOUS AERIAL DRONE Abstract: The technology that uses the inputs from various disciplines like mechanical, software, electronic, aeronautical, and electro-mechanical is the unmanned aerial vehicles (UAV) technology. Thus, this makes the system more complicated and highly technical. This has become a dominant research topic. It has its applications mainly in the field of the civil and military fields like the collection of data, aerial surveillance, reconnaissance, remote sensing, detection of fire, search and rescue operations, assessment of the damage, transfer of the communication, dragging of mine, logistics, and hazardous substances detection. There are other few advantages in the usage of the UAVs that include low cost due to loss, it provides less loss in terms of life and it overcomes the limitations of the manned vehicles like fatigue related to humans, operating time. The control and tracking of an aerial drone autonomously are the most challenging task in mobile robotics. Proportional Integral-Derivative (PID) controller is widely used in industries to control the action of aerial drones due to their simplicity and trade-off efficiency. The autonomous aerial drone is provided with the quadcopter type of multi-rotor. In the proposed system, Multilayer Perceptron (MLP) is trained with the Extended Kalman Filter (EKF) and Artificial Neural Network (ANN) architectural framework is attracted due to the concept similar to the biological neurons. The unmanned aerial vehicles (UAVs) are designed to control their trajectory automatically using the Proportional Integral-Derivative (PID) controllers trained with Extended Kalman Filter (EKF). The automatic tracking of the trajectory of the UAVs is performed by using the deep convolutional neural network (CNN). SELF-TUNING CONTROLLER AND TRACKING METHOD FOR AUTONOMOUS AERIAL DRONE Diagram PROPORTIONAL r~t)e~t)UWt y(t} e41) INTEGRAL GAIN - QUADROTOR DIFFERENTIAL Figure 1: Block Diagram of the Quadrotor using the PID (Proportional-Integral Derivative)Controller. QUADROTOR MODEL SU1 TRANSLATIIONAL DESIRED CONTROLLER OUTPUT INPUT ROTORINPUTS U 2 ROTATIONAL Figure 2: Block diagram of the Quadrotor UAVs (Unmanned Aerial Vehicles).

公开(公告)号：AU2020104365A4

公开(公告)日：2021-03-18

申请号：AU2020104365

申请日：2020-12-29

Applicant: BEHURA ARADHANA MS ,  BHAT ANUP PURUSHOTTAM DR ,  BOHRE AASHISH KUMAR DR ,  CHAKRABARTI PRASUN DR ,  CHHAWCHHARIA PRADEEP DR ,  HATI ANANDA SHANKAR DR ,  MANDAL VIJAYVERGIYA RASHMI MRS ,  RAJAKUMAR M P DR ,  SAIRAM K V S S S S DR ,  SAWLE YASHWANT DR ,  SHEKHAR SNEHANSHU MR ,  VERMA DEEPAK MR

Inventor： RAJAKUMAR M P ,  BEHURA ARADHANA ,  SAIRAM K V S S S S ,  BHAT ANUP PURUSHOTTAM ,  SAWLE YASHWANT ,  BOHRE AASHISH KUMAR ,  VERMA DEEPAK ,  SHEKHAR SNEHANSHU ,  CHAKRABARTI PRASUN ,  HATI ANANDA SHANKAR ,  MANDAL(VIJAYVERGIYA) RASHMI ,  CHHAWCHHARIA PRADEEP

IPC: H04L12/12 ,  H04W4/38

Abstract: AN EFFICIENT POWER DISTRIBUTION BASED ON IOT-FOG RESOURCE FOR EFFECTIVE PROXY NEGOTIATION FOR TRAFFIC Normally, the quantity of gadgets interfacing with the Internet-of-Things will increment mathematically later on, with the progress of their capacities. Such gadgets may make a gigantic measure of information to be handled in a restricted time. Under the IoT climate, information the executives should assume the function of a middle of the road level among items and gadgets that produce information and applications that admittance to the information for investigation and the arrangement of administrations. IoT intelligently associates all specialized gadgets and permits worldwide admittance to the information created by a gadget. In this invention, we propose an efficient power distribution based on IoT-fog resources for effective proxy negotiation for traffic reduction. In light of mist figuring, the proposed design gives proficient force to the executives in IoT gadget correspondence among sensors and secure administration of information to be unscrambled dependent on client credits. The useful viability and the protected information the board of the strategy proposed is analyzed through trials. AN EFFICIENT POWER DISTRIBUTION BASED ON IOT-FOG RESOURCE FOR EFFECTIVE PROXY NEGOTIATION FOR TRAFFIC SECURITY SCALABILITY COMPLEXITY --- RESO URCE HAEENGE -, IOF FOG- 1 COMPL TrL ______I_ YN-LA IECIyNERGY CONSUMPTION N HETEROGE-N- LATENCY FIG 1: CHALLENGES OF FOG COMPUTING FIG 2: STRUCTURE OF FOG COMPUTING