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1. 发明专利

AU2021100313A4 FIXED OFF TIME-BASED SWITCH MODE POWER SUPPLY DEVICE 未知
公开(公告)号：AU2021100313A4
公开(公告)日：2021-04-15
申请号：AU2021100313
申请日：2021-01-19
申请人： CHANDRA PAL VIPIN DR , GANGULI SOUVIK , KARELIA NIRAV MR , MLI GAUR ANSHU , SOHANE ANURAG , SONAR SANTOSH DR
发明人： SONAR SANTOSH , GANGULI SOUVIK , KARELIA NIRAV , SOHANE ANURAG , CHANDRA PAL VIPIN , MLI GAUR ANSHU
IPC分类号： H02M1/42 , H02M1/00
摘要： The present disclosure relates to a fixed OFF time-based switch mode power supply device. The device comprises a diode equipped with a capacitor for converting alternating current into an unregulated ripples direct current, a high-frequency switch for generating high flux variation to produce alternating current upon switching the unregulated ripples direct current at a range of 15 to 50Hz, a flyback transformer having a primary winding and a secondary winding for generating high voltage sawtooth signals at a relatively high frequency from produced alternating current, a rectifier and filter for generating a regulated direct current, and a feedback circuit for generating a desired direct current output upon producing a feedback signal according to the first output voltage. c.~ 0 co I E C-) >0 Cu C u uC otwo 0 u' 0. 5 .- -

2. 发明专利

AU2020104120A4 MODEL ORDER REDUCTION AND CONTROLLER DESIGN OF NON-MINIMUM PHASE HYDRO PLANTS 未知
公开(公告)号：AU2020104120A4
公开(公告)日：2021-03-04
申请号：AU2020104120
申请日：2020-12-16
申请人： ASRIFAN ANDI DR , CHANDRA PAL VIPIN DR , GANGULI SOUVIK DR , GAUR ANSHUMLI DR , GUPTA RAHUL , JOSHI RAJAT DR , KARELIA NIRAV MR , KUMAR MUKESH DR , MUTHMAINNAH DR , SOHANE ANURAG MR
发明人： GANGULI SOUVIK , KUMAR MUKESH , GUPTA RAHUL , CHANDRA PAL VIPIN , KARELIA NIRAV , SOHANE ANURAG , MUTHMAINNAH DR , ASRIFAN ANDI , JOSHI RAJAT , GAUR ANSHUMLI
IPC分类号： G05B13/04 , G05B17/02 , G05B21/02
摘要： A system for model order reduction and controller design of non minimum phase hydro plant in a unified domain of analysis is disclosed. A plurality of control models (102) is configured to receive a signal with a non-minimum phase from the main controller unit (104). A constrained optimization-based technique (106) consists of at least three constraints (108) configured to bring a dc gain, stability along with time and frequency domain features intact of said hydro-plant (100). An identification module (110) is configured to compare and match said first-order and said second-order control models to generate a plurality of anonymous model parameters. An approximate model matching framework (112) to identify corresponding to a reduced system which is a predefined reference model. A delta operator framework (116) is configured to provide a unified framework of said control models (102) through unifying continuous and discrete time analyses at the higher sampling frequency. c0 ry-I jLjz _ 0 z I N Z Lw Coo 0 j a-

3. 发明专利

AU2020104125A4 AN OPTIMIZED APPROACH TO ORDER DIMINUTION AND CONTROLLER SYNTHESIS OF INTERVAL SYSTEMS 未知
公开(公告)号：AU2020104125A4
公开(公告)日：2021-03-04
申请号：AU2020104125
申请日：2020-12-16
申请人： CHANDRA PAL VIPIN DR , GANGULI SOUVIK DR , GAUR ANSHUMLI DR , GUPTA RAHUL MR , KARELIA NIRAV MR , KUMAR MUKESH DR , SINGH GURPRINCE MR , SOHANE ANURAG MR
发明人： GANGULI SOUVIK , SOHANE ANURAG , GAUR ANSHUMLI , KARELIA NIRAV , CHANDRA PAL VIPIN , SINGH GURPRINCE , GUPTA RAHUL , KUMAR MUKESH
IPC分类号： G05B13/04 , G05B19/02 , G06N7/00
摘要： An optimized approach to order diminution and controller synthesis of interval systems is disclosed. A first module (102) with a plurality of control models (104) configured to receive input of measurement, wherein a first threshold order is assigned as a lower-order model, and a final threshold order is assigned as a higher-order model. The main controller unit (108) is configured to receive the first response with respect to said final threshold order of a first control model, wherein said main controller (108) is configured to reduce said first control model with the said first approach to a second control model with a threshold order lower than said final threshold order of said first control model. An error-index module (114) to generate a final error index of said models by matching said responses with respective threshold order and to generate a higher and lower order response. w~ 0 0 0) o o~- R 0 C= 0 ~ -~ ~ -0 -0 W a 4-'-~ 0~ to~~U4 U 00 -a O 0O. a cU 0 W -0 UCE' 00 ca) ol E 01- 10 C i~ E (Ui 4- i05 0 ( E -c EEb> aoa U U r . 4.1 E.a 04a 3 a E .0 4.o X 0 00CL- ~ ia -; -0' U- 54.1 -5 E0 -L U U (U Z a) ~ 4 ) ~.Si 4.0 Ca) U UU a 0)( :>

4. 发明专利

AU2020103941A4 A GENERALIZED PROCESS FOR ORDER REDUCTION OF UNSTABLE SYSTEMS 未知
公开(公告)号：AU2020103941A4
公开(公告)日：2021-02-11
申请号：AU2020103941
申请日：2020-12-08
申请人： CHANDRA PAL VIPIN DR , GANGULI SOUVIK DR , HANS SIKANDER MR , KARELIA NIRAV MR , SHARMA ADITI DR , SINGH ARASHDEEP MR , SINGH MANJEET MR , SOHANE ANURAG MR , SWARNAKAR JAYDEEP DR
发明人： GANGULI SOUVIK , KARELIA NIRAV , CHANDRA PAL VIPIN , SINGH ARASHDEEP , SINGH MANJEET , SHARMA ADITI , SWARNAKAR JAYDEEP , SOHANE ANURAG , HANS SIKANDER
IPC分类号： G06F17/10 , B64C17/00 , B64C19/00 , G05B13/04 , G05D1/02
摘要： The present disclosure relates to a generalized process for order reduction of unstable systems. Plenty of engineering applications are often represented by complex, high-order models that are troublesome to analyze, control and design. Their reduced models are more appropriate to provide deep insight and can also contribute to design lower-order controllers. The main motive behind various model reduction techniques is to obtain an appropriate lower-order model such that it retains the input output behavior and inherent characteristics of the original system with reduced error. Thus, the multi-input multi-output model of highly maneuverable aircraft technology (HIMAT) has been reduced using a new pole shifting method. Finally, the controller of the reduced plant model is synthesized using an approximate model matching framework. Both model reduction and controller design problems are carried out using the delta operator. The delta domain approach unifies analysis of continuous and discrete-time systems at high sampling frequency. E oj cEr E) CLcc _0 Cfl 4-Uo 02 W '4 -0 C- 4 - 4 CL EUW Mci C)a ci)E E 4 WE a)) -o- E WoE V V- 4-'- + C 0 V> 4--2 '-C on W E on W -C WCU flE 4- 00 EE -64 W- W"04 Con 0) W'- 0 WE '4- 00> 0 0 0-W W 40 C> 4- 4- - 4- ~ 4- 0E 4t 4-CL V0 4- :--= - 414- E C EW c CL '4 C- 0 CW > C0' D4- 0 0 ;C

5. 发明专利

AU2021101516A4 A SYSTEM FOR MOVEMENT OF AUTONOMOUS VEHICLE AND A METHOD THEREOF 未知
公开(公告)号：AU2021101516A4
公开(公告)日：2021-06-03
申请号：AU2021101516
申请日：2021-03-25
申请人： GANGULI SOUVIK , KARELIA NIRAV MR , NARUKA TARUN , PAL VIPIN CHANDRA , RANA ARUN KUMAR , SOHANE ANURAG
发明人： RANA ARUN KUMAR , KARELIA NIRAV , NARUKA TARUN , PAL VIPIN CHANDRA , GANGULI SOUVIK , SOHANE ANURAG
IPC分类号： G05D1/00 , B25J5/00 , B60R21/01 , B60R21/0134 , B60W30/09 , G05D1/02 , G08G1/16
摘要： A system for an autonomous vehiclecomprises of a plurality of image capturing module for capturing an image of surrounding, an image processing module for extracting a plurality of features from the captured image, wherein the plurality of features determines the road type and the road dimensions, an object detection module for identifying a plurality of obstacles near the vehicle, wherein the object detection module comprises of a machine learning technique for calculating a distance of the plurality of obstacle from the vehicle and a controller module for movement of the vehicle in a particular direction, wherein the controller module generates a first set of a command signal for moving the vehicle if the dimension of the road is sufficient for the vehicle, wherein the controller module generates a second set of a command signal for moving the vehicle when the distance between the vehicle and obstacle exceeds a minimum distance value. IMAGE CAPTURING MODULE CONTROLLER MODULE IMAGE PROCESSING MOTOR OBJECT DETECTION capturing an image of surrounding using a plurality of image capturing module positioned on an outer surface of the vehicle extracting a plurality of features from the captured image using an image processing module connected tothe plurality of image capturing module, wherein the plurality of features determines the road type and the road dimensions identifying a plurality of obstacles near the vehicle using an object detection module connected to the image processing module, wherein the object detection module comprises of a machine learning 206 technique for calculating a distance of the plurality of obstacle from the vehicle20 moving the vehicle in a particular direction using a controller module interconnected to the image processing module, and the object detection module, wherein the controller module generates a first \ set of command signal for moving the vehicle if the dimension of the road is sufficient for the 218 vehicle, wherein the controller module generates a second set of command signal for moving the vehicle when the distance between the vehicle and obstacle exceeds a minimum distance value

6. 发明专利

AU2020104117A4 A METHODFOR FRACTIONAL ORDER CONTROLLER IN DELTA DOMAIN FOR ELECTROCHEMICAL PROCESS 未知
公开(公告)号：AU2020104117A4
公开(公告)日：2021-03-04
申请号：AU2020104117
申请日：2020-12-16
申请人： ALEEM KHAN MOHD , AMIR MOHAMMAD , CHANDRA PAL VIPIN , GANGULI SOUVIK DR , GAUR ANSHUMLI , ISLAM MD SAFIKUL , JOSHI RAJAT , KARELIA NIRAV MR , SINGH GURPRINCE MR , SINGH MANJEET , SOHANE ANURAG
发明人： GANGULI SOUVIK , CHANDRA PAL VIPIN , SOHANE ANURAG , KARELIA NIRAV , SINGH MANJEET , AMIR MOHAMMAD , ALEEM KHAN MOHD , SINGH GURPRINCE , GAUR ANSHUMLI , JOSHI RAJAT , ISLAM MD SAFIKUL
IPC分类号： G05B13/02 , G05B11/42 , G06F17/10 , G16C20/10
摘要： The present disclosure relates to a method for fractional order controller in delta domain for electrochemical process comprises finding numerator and denominator polynomials of a lower-order model by adapting an identification approach;measuring response of a higher order and expected reduced system with unknown coefficients for providing an edge over standard biased signal;evaluating anonymous parameters of lower-order system through metaheuristic technique;reporting both sum of square error (SSE) and integral of square error (ISE) widely from context of time response matching;estimating model parameters upon weighing a large initial error lightly in time response owing to very small value of time with the use of integral of time-weighted square error in the objective function whereas errors occurring in the later part of transient response are penalized; andidentifying unknown coefficients of numerator and denominator polynomials of reduced-order system upon confirming an objective function. finding numerator and denominator polynomials of a lower-order model by adapting an identification approach 2 measuring response of a higher-order and expected reduced system with unknown coefficients for providing an edge over 104 standard biased signal like a step input evaluating anonymous parameters of the lower order system through any metaheuristic technique reporting both sum of square error (SSE) and integral of square error (ISE) are widely from the context of time response matching JA estimating model parameters upon weighing a large initial error lightly in the time response of the system owing to a very small value of time with the use of integral of time-weighted square error (ITSE) in the objective function whereas the errors occurring in ,V110 the later part of the transient response are penalized heavily identifying unknown coefficients of the numerator and the denominator polynomials of the reduced-order system upon confirming and thereafter selecting that objective function has a better selectivity in comparison with ISE Figure 1

7. 发明专利

AU2021101497A4 AI-Thinker ESP32-CAM for Live Video Streaming and Face Recognition System Based on IoT 未知
公开(公告)号：AU2021101497A4
公开(公告)日：2021-05-20
申请号：AU2021101497
申请日：2021-03-23
申请人： GANGULI SOUVIK DR , JHA ASHISH KUMAR , KARELIA NIRAV , PAL VIPIN CHANDRA , RANA ARUN KUMAR , SOHANE ANURAG MR
发明人： RANA ARUN KUMAR , PAL VIPIN CHANDRA , SOHANE ANURAG , KARELIA NIRAV , JHA ASHISH KUMAR , GANGULI SOUVIK
IPC分类号： G06K9/00 , G06N20/00 , G08B13/196 , G08B15/00
摘要： The present disclosure relates to a low-cost A-thinker ESP32-CAM for live video streaming and face recognition system based on IoT. Most machine learning tasks require a lot of computing power, but some tasks can be accomplished with microcontrollers. The well-known, low cost, SoC ESP32-CAM has been examined in this disclosure. It's typically used for data measurement in IoT devices, but in some existing state of the art, the use of simple machine learning algorithms with it has begun. In general, the purpose of this disclosure is to look into the possibility of using an ESP32 with a built-in camera for machine learning algorithms. 100 ¾ Imagecapturirig module Registration Controller module module Messaging module Figure1 Capturing a video arid an imageof a user us ing an imagecapturing module. ]Alt202 Providing credentials required for registrationofthe user using a reg istration 204 [ ~module.jv Identifying the imageofA the usTe r capturFedi th ro:ug h the Image ca pturing lV20 6 module using a controllermodule. Generating messagealerts upon identification ofthe user using a messag ing module. Wherein the messaging module generates an intruder message signal 208 upon unknown userdetection. Figure 2

8. 发明专利

AU2021101677A4 A DEVICE AND METHOD FOR CONTROLLING MAGNETICALLY LEVITATED HEART ASSIST DEVICE 未知
公开(公告)号：AU2021101677A4
公开(公告)日：2021-07-01
申请号：AU2021101677
申请日：2021-03-31
申请人： GANGULI SOUVIK , SONDHI SWATI , SOHANE ANURAG
发明人： GANGULI SOUVIK , SONDHI SWATI , SOHANE ANURAG
IPC分类号： A61M60/508 , A61M60/419 , A61M60/457
摘要： The present disclosure relates to a device and a method for controlling a magnetically levitated heart assist device.The device includesthe development of a lower-order prototype model for converting a higher-order unstable system into a stable one using a random weight based pole shifting method;wherein the stable system is reduced in a lower-order model using slime mould technique;wherein time and frequency domain parameters of the lower-order model is preserved in line with the original system model;wherein integral of square error (ISE) as an error function is selected to measure unknown lower-order model parameters using a pseudo-random binary sequence as an unbiased input signal. A fractional-order PID controller operated using Arduino UNO serves asa controlling unit for controlling the operation of the unstable system used as a heart assist device. Lower-order prototypemodel102 FOPIDcontroller104 Figure1 converting a higher-order unstable systeminto a stable one using a rardorn weight-based pole s hifting method 202 reducing the stablesystem using slime mouldtechnique to generate a lower-order model preserving time andfrequency domain parameters of the lower-order model in line with theorigiral system model choosingintegral ofsquare error (ISE) as an error funtion to measure unknown lower-order model parametersusr a pseudo-random binarysequence as an unblasedinput signal Figure 2

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