CN113587732A - Shock wave detection circuit of multifunctional target drone - Google Patents
Shock wave detection circuit of multifunctional target drone Download PDFInfo
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Abstract
The invention relates to a shock wave detection circuit of a multifunctional target drone, and belongs to the technical field of target drone. A shock wave detection circuit of a multifunctional target drone adopts a closed shock wave detection mode, a piezoelectric sensor is used for detecting bullet landing position signals, a high-speed operational amplifier and a comparator are used for processing the position signals, the time difference from a bullet landing position to a sensor position is counted through a high-speed CPLD/FPGA, and a single chip microcomputer is used for calculating position coordinates. The main control circuit adopts an advanced technical framework and simultaneously supports a conductive signal and a shock wave sensor signal. The external interface of the invention is designed to conduct electricity and separate shock waves, and is connected with different types of target plates to support different target scoring modes. The shock wave detection circuit is designed to detect the accurate position of the bullet at the bullet landing position by adopting shock wave detection, so that the detection accuracy of the target drone is improved.
Description
Technical Field
The invention relates to a shock wave detection circuit of a multifunctional target drone, and belongs to the technical field of target drone.
Background
In shooting training or shooting-type simulation games, a drone is used. The shooter shoots towards the drone and the position of the bullet on the target plate determines the quality of the shot. Current small arms target drone is mainly based on two target-scoring principles, one: mature stable, low price's electrically conductive target drone, two: the shock wave target drone has advanced technology. The conductive target drone has advantages and disadvantages, and can only realize regional target scoring; the shock target drone can calculate an accurate target scoring position, but for projectiles less than the speed of sound (340m/s), scoring is difficult.
Disclosure of Invention
The invention aims to provide a shock wave detection circuit of a multifunctional target drone.
In order to achieve the purpose, the invention adopts the technical scheme that:
a shock wave detection circuit of a multifunctional target drone comprises a piezoelectric sensor, a signal processing amplifier, a voltage comparator, an FPGA and a master control MCU which are sequentially in communication connection; the temperature sensor and the position sensor are in communication connection with the master control MCU; the main control MCU is connected with the power supply system; the master control MCU is in information interaction with the EEPROM; the processor is also in communication connection with the laser, the night training lamp and the battery electric quantity indicating module;
the main control MCU uses a 32-bit ARM processor STM32F103RCT 6; the pin 62 of the processor STM32F103RCT6 is connected with the laser driving circuit; the pin 61 of the processor STM32F103RCT6 is connected with the light driving circuit; pin 58 of processor STM32F103RCT6 is connected to the indicator light circuit; the pin 57 of the processor STM32F103RCT6 is connected with the pin SDA of the EEPROM, and the pin 56 of the processor STM32F103RCT6 is connected with the pin SCL of the EEPROM; the pin 52 of the processor STM32F103RCT6 is connected with the pin 2 of the wireless module U42 Xbee Pro S3B, and the pin 51 of the processor STM32F103RCT6 is connected with the pin 3 of the wireless module U42 Xbee Pro S3B; the pin 40, the pin 41, the pin 42 and the pin 43 of the processor STM32F103RCT6 are connected with the FPGA module; pin 29 and pin 30 of the processor STM32F103RCT6 are connected with a serial port GPS; the pin 22 and the pin 23 of the processor STM32F103RCT6 are connected with the motor position detection module; pin 15 of the processor STM32F103RCT6 is connected with the battery voltage detection module; pin 40, pin 42 and pin 43 of the processor STM32F103RCT6 are connected with the FPGA module.
The technical scheme of the invention is further improved as follows: the FPGA module calculates the shock wave signal time and uses a chip EPM570T100C 5N; pin 74 of chip EPM570T100C5N is connected with pin 40 of processor STM32F103RCT6, pin 72 of chip EPM570T100C5N is connected with pin 41 of processor STM32F103RCT6, pin 57 of chip EPM570T100C5N is connected with pin 42 of processor STM32F103RCT6, and pin 55 of chip EPM570T100C5N is connected with pin 43 of processor STM32F103RCT 6; pin 85 of chip EPM570T100C5N is connected with PHA1 SIG of the shock wave detection part; the pin 87 of the chip EPM570T100C5N is connected with the PHA2 SIG of the shock wave detection part; pin 89 of chip EPM570T100C5N is connected with PHA3 SIG of the shock wave detection part; the pin 91 of the chip EPM570T100C5N is connected to the PHA4 SIG of the shock wave detection section.
The technical scheme of the invention is further improved as follows: pins 95, 96, 97, 98, 99 and 100 of the chip EPM570T100C5N are respectively connected with target number scoring circuits C8H, C9H, C10H, C5H, C6H and C7H; pins 1, 2, 3, 4, 5, 6, 7 and 8 of the chip EPM570T100C5N are connected to the target-scoring position circuits CX, CZX, CY, CZ, CYs, CZs, CS and CYX, respectively.
The technical scheme of the invention is further improved as follows: the probe of the circuit of the shock wave detection part is sequentially connected with and provided with four TL074 operational amplifiers, and then connected with and provided with an analog comparator MCP 6562.
The technical scheme of the invention is further improved as follows: the night training lamp adopts a light-adjustable circuit based on a chip PT4115, and two stages of light are respectively connected with a pin 1 and a pin 4 of the PT 4115; the driving of the dc motor uses either MOSFET driver IR2104S or IRFR 3607; the battery power supply system uses two paths of RT8279 to respectively generate 12V and 5V from 24V; and meanwhile, a 3.3V power supply chip LM1117 and a 2.5V power supply chip LM are added.
The technical scheme of the invention is further improved as follows: a triode S8550 is used for driving the indicating lamp of the battery power and the laser; a mode of comparing a voltage threshold DA is adopted for battery voltage detection AD, STM32 is used for carrying the DA, and a DAC operational amplifier processing circuit selects SGM 358.
The technical scheme of the invention is further improved as follows: the proximity switch PM12-04N is used for position detection of the DC motor for driving the target raising and falling motion.
The technical scheme of the invention is further improved as follows: the temperature sensor is a digital temperature sensor AHT 20; an atmospheric pressure sensor BMP280 is also included.
Due to the adoption of the technical scheme, the invention has the following technical effects:
the main control circuit of the invention simultaneously supports the conductive signal and the shock wave sensor signal. The external interface of the invention is designed to conduct electricity and separate shock waves, and is connected with different types of target plates to support different target scoring modes.
The shock wave detection circuit is designed to detect the accurate position of the bullet at the bullet landing position by adopting shock wave detection, so that the detection accuracy of the target drone is improved.
The shock wave detection part is provided with four probes corresponding to the four shock wave detection circuits, and the shock wave detection part consisting of the four probes can realize accurate position detection in a laser mode.
Drawings
FIG. 1 is a schematic diagram of the circuit configuration of the present invention;
FIG. 2 is a schematic diagram of a single chip microcomputer part of the control circuit of the present invention;
FIG. 3 is a schematic diagram of a conductive portion of the control circuit of the present invention;
FIG. 4 is a high speed signal portion of the control circuit of the present invention;
FIG. 5 is a schematic diagram of the system of the present invention.
Detailed Description
In order to make the technical means, the creation characteristics, the achievement purposes and the effects of the invention easy to understand, the invention is further described with the specific embodiments.
In the description of the present invention, it should be noted that the terms "upper", "lower", "inner", "outer", "front", "rear", "both ends", "one end", "the other end", and the like indicate orientations or positional relationships based on those shown in the drawings, and are only for convenience of description and simplicity of description, but do not indicate or imply that the referred device or element must have a specific orientation, be constructed in a specific orientation, and be operated, and thus, should not be construed as limiting the present invention. Furthermore, the terms "first" and "second" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
In the description of the present invention, it is to be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "disposed," "connected," and the like are to be construed broadly, such as "connected," which may be fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
The invention relates to a shock wave detection circuit of a multifunctional target drone, which is a target drone in an analog mode and is used during simulation training and entertainment.
The multifunctional target drone adopts a closed shock wave detection mode, uses a plurality of shock wave/ultrasonic piezoelectric sensors to detect bullet landing position signals, uses a high-speed operational amplifier and a comparator to process the position signals, counts the time difference from a landing position to a sensor position through a high-speed FPGA, and uses a single chip microcomputer to calculate position coordinates. Meanwhile, 20 paths of conductive switch input signals are integrated, and the signals are sent to the FPGA after being processed, and the hitting positions are analyzed. Simultaneously, communicating with an upper computer to report the target landing position; and additional controls for starting and reversing targets, lighting, etc. When the target drone detects the landing position, the intelligent and informatization degree is high.
As shown in fig. 1, the hardware system of the multifunctional drone comprises a piezoelectric sensor, a signal processing amplifier, a voltage comparator, a CPLD/FPGA and a main control MCU, which are sequentially in communication connection; the temperature sensor and the position sensor are in communication connection with the master control MCU; the main control MCU is connected with the power supply system; the main control MCU interacts with EEPRO information; the output signal of the processor acts on the driving motor and controls the target starting and reversing actions. The processor is also in communication connection with the laser, the night training lamp and the battery power indication module.
The main chip scheme is as follows:
1. shock wave sensor
A shock wave sensor of 18 mm;
2. operational amplifier for signal amplification processing
Four-channel precision operational amplifier: TL 074;
3. high-speed voltage comparator
The high-speed comparator is selected from: MCP 6562;
4. shock signal time calculation
Selecting a CPLD/FPGA: EPM570T100C 5N;
5. main chip main control MCU
The main chip uses a low-cost 32-bit ARM processor: STM32F103RCT 6;
6. EEPROM memory
The EEPROM memory adopting IIC interface: 24LC 02;
7. wireless communication module
Adopting a Zigbee ad hoc network module: xbee Pro S3B;
8. night training lamp
Adopting a PWM dimmable circuit, based on a chip: PT 4115;
9. direct current motor drive
Using a MOSFET driver: IR2104S × 2;
② using MOSFET: IRFR3607 x 4;
10. power supply
Firstly, two RT8279 paths are used for respectively generating 12V and 5V from 24V;
adding 3.3V,2.5V and other power supply chips LM 1117;
11. driving of indicator lights, lasers, or the like
Using a triode: s8550;
12. proximity switch for motor position detection
Using a proximity switch: PM 12-04N;
13. detecting battery voltage AD, comparing voltage threshold DA using STM32 with DA
Carrying AD and DA by using STM 32;
selecting a DAC operational amplifier processing circuit: SGM358 x 2;
14. environmental parameter
One can use a digital temperature sensor: AHT 20;
② atmospheric pressure sensors can be used: BMP 280;
with reference to fig. 2-4, the piezoelectric sensor of the present invention is a shock wave piezoelectric sensor; the signal processing amplifier is a four-channel precision operational amplifier TL 074I; the voltage comparator is a high-speed voltage comparator MCP 6562; CPLD/FPGA is selected for calculating shock wave signal time: EPM570T100C 5N;
as shown in FIG. 2, the master MCU uses a 32-bit ARM processor STM32F103RCT 6; the EEPROM adopts 24LC02 of IIC interface; and a Zigbee ad hoc network module Xbee Pro S3B is adopted.
The device comprises a battery voltage detection module, a motor position detection module, a temperature and humidity detection module, a serial port GPS module, a wireless communication module, an EEPROM memory, an indicator light, a laser driving module and a light driving module, wherein the battery voltage detection module, the motor position detection module, the temperature and humidity detection module, the serial port GPS module, the wireless communication module, the EEPROM memory, the indicator light, the laser driving module and the light driving module are connected with the main control MCU processor STM32F103RCT 6. As shown in particular in fig. 2. The connection of the various modules to the various interfaces of the processor STM32F103RCT6 is shown in detail in fig. 2.
The night training lamp adopts a light-adjustable circuit based on a chip PT4115 PWM; the driving of the dc motor uses MOSFET driver IR2104S or IRFR 3607; the battery power supply system uses two paths of RT8279 to respectively generate 12V and 5V from 24V; and meanwhile, a 3.3V power supply chip LM1117 and a 2.5V power supply chip LM are added.
A triode S8550 is used for driving the indicating lamp of the battery power and the laser; a mode of comparing a voltage threshold DA is adopted for battery voltage detection AD, STM32 is used for carrying the DA, and a DAC operational amplifier processing circuit selects SGM 358.
The proximity switch PM12-04N is used for position detection of the DC motor for driving the target raising and falling motion.
The temperature sensor is a digital temperature sensor AHT 20; an atmospheric pressure sensor BMP280 is also included.
As shown in fig. 3, the present invention relates to a circuit for detecting the number of target rings and the position of target plate, which is used to count the number of target rings and the shot position of target plate.
As shown in fig. 4, the present invention relates to a shock wave detection circuit, which is used for detecting a shock wave at an elastic location.
The invention realizes electronic target scoring and needs to be correspondingly provided with a corresponding software system. As shown in fig. 5, the primary modules of the software system include a communication function module, a device display module, a device list module, a setting module, a score query module, and a grouping setting module. Further, the communication function module comprises serial communication and UDP communication. The equipment display module comprises a target map, a target achievement, a target machine state and a magnification function module. The equipment list module comprises an online target drone display module, a target drone attribute setting module, a target drone calibration module and a target drone label setting module. The setting module comprises a communication parameter setting module and a voice target-reporting parameter setting module. The score inquiry module comprises a database module, a score inquiry module, a target aircraft total score module, a target impact point display module and a score export module. The grouping setting module comprises a field component module, a grouping attribute module, an individual drone attribute module, a course setting module and a configuration file module.
1. Grouping setting: site layout, grouping attributes, individual drone attributes, configuration files, course settings.
2. The communication function is as follows: serial communication (wireless module) and reserved UDP communication.
3. Score query: and the database module is used for inquiring the score, displaying the total score of the target drone, displaying the target impact point and exporting the score.
4. Device list: displaying on-line target drone, setting target drone attribute, calibrating target drone and setting target drone label.
5. The equipment displays: target map, target achievement, target machine state, and zoom in.
6. Setting: setting communication parameters and setting voice target-reporting parameters.
The shock wave detection circuit of the multifunctional target drone, disclosed by the invention, combines the figures 1, 2, 3, 4 and 5, and comprises a piezoelectric sensor, a signal processing amplifier, a voltage comparator, an FPGA (field programmable gate array) and a master control MCU (microprogrammed control unit) which are sequentially in communication connection; the temperature sensor and the position sensor are in communication connection with the master control MCU; the main control MCU is connected with the power supply system; the master control MCU is in information interaction with the EEPROM; the processor is also in communication connection with the laser, the night training lamp and the battery power indication module.
The main control MCU uses a 32-bit ARM processor STM32F103RCT 6; the pin 62 of the processor STM32F103RCT6 is connected with the laser driving circuit; the pin 61 of the processor STM32F103RCT6 is connected with the light driving circuit; pin 58 of processor STM32F103RCT6 is connected to the indicator circuit. The pin 57 of the processor STM32F103RCT6 is connected to the pin SDA of the EEPROM, and the pin 56 of the processor STM32F103RCT6 is connected to the pin SCL of the EEPROM, so as to store and read data. The pin 52 of the processor STM32F103RCT6 is connected with the pin 2 of the wireless module U42 Xbee Pro S3B, and the pin 51 of the processor STM32F103RCT6 is connected with the pin 3 of the wireless module U42 Xbee Pro S3B, so that wireless communication is carried out.
And the pins 40, 41, 42 and 43 of the processor STM32F103RCT6 are connected with the FPGA module to confirm the landing position and the ring number. Pin 29 and pin 30 of the processor STM32F103RCT6 are connected to the serial GPS. The pins 22 and 23 of the processor STM32F103RCT6 are connected to a motor position detection module for detecting the motor position and controlling the motor movement. Pin 15 of the processor STM32F103RCT6 is connected to the battery voltage detection module. Pin 40, pin 42 and pin 43 of the processor STM32F103RCT6 are connected with the FPGA module.
The motor position detection module is used for detecting the positions of the target plate at the upper end position and the lower end position, namely the positions in a vertical state and a horizontal state; an optical coupler EL3H7 is used.
The FPGA module calculates the shock wave signal time and uses a chip EPM570T100C 5N; the pin 74 of the chip EPM570T100C5N is connected with the pin 40 of the processor STM32F103RCT6, the pin 72 of the chip EPM570T100C5N is connected with the pin 41 of the processor STM32F103RCT6, the pin 57 of the chip EPM570T100C5N is connected with the pin 42 of the processor STM32F103RCT6, and the pin 55 of the chip EPM570T100C5N is connected with the pin 43 of the processor STM32F103RCT 6. Pin 85 of chip EPM570T100C5N is connected with PHA1 SIG of the shock wave detection part; the pin 87 of the chip EPM570T100C5N is connected with the PHA2 SIG of the shock wave detection part; pin 89 of chip EPM570T100C5N is connected with PHA3 SIG of the shock wave detection part; the pin 91 of the chip EPM570T100C5N is connected to the PHA4 SIG of the shock wave detection section. The shock wave detection part is provided with four probes for detection, so that the precision of a detection position is ensured.
In the circuit, the pins 95, 96, 97, 98, 99 and 100 of the chip EPM570T100C5N are respectively connected with the target scoring ring number circuits C8H, C9H, C10H, C5H, C6H and C7H, and respectively represent 8-ring, 9-ring, 5-ring, 6-ring and 7-ring.
In the circuit, pins 1, 2, 3, 4, 5, 6, 7 and 8 of the chip EPM570T100C5N are respectively connected with target reporting position circuits CX, CZX, CY, CZ, CYs, CZs, CS and CYX, and respectively represent different positions of a shot point.
The shock wave detection part is provided with four probes for shock wave detection, and the connection mode and the components of the detection circuit corresponding to each probe are consistent. Specifically, the probe of the circuit of each shock wave detection part is sequentially connected with and provided with four TL074 operational amplifiers, and then connected with and provided with an analog comparator MCP 6562.
The lamp is trained night and adopts the light-adjustable circuit based on chip PT4115, and the two stages of light are connected with pin 1 and pin 4 of PT4115 respectively, so that the brightness can be adjusted. One of the pins of the LED lamp is connected to pin 1 of PT4115 through an adjustable inductor.
The driving of the dc motor uses either MOSFET driver IR2104S or IRFR 3607; the battery power supply system uses two paths of RT8279 to respectively generate 12V and 5V from 24V; and meanwhile, a 3.3V power supply chip LM1117 and a 2.5V power supply chip LM are added.
A triode S8550 is used for driving the indicating lamp of the battery power and the laser; a mode of comparing a voltage threshold DA is adopted for battery voltage detection AD, STM32 is used for carrying the DA, and a DAC operational amplifier processing circuit selects SGM 358.
The proximity switch PM12-04N is used for position detection of the DC motor for driving the target raising and falling motion.
The temperature sensor is a digital temperature sensor AHT 20; an atmospheric pressure sensor BMP280 is also included. The main control circuit adopts an advanced technical framework and simultaneously supports a conductive signal and a shock wave sensor signal.
The external interface of the invention is designed to conduct electricity and separate shock waves, and is connected with different types of target plates to support different target scoring modes.
The power mechanism in the target drone is combined with the conductive target plate, and the weight difference of the shock wave target plate is designed in a key way.
The invention is compatible with the conductive target plate and the installation mode of the shock wave target plate, and designs the independent shock wave target reporting upper installation.
When in use, the conductive target plate of the invention can normally report targets, the box type shock wave target plate can normally report targets, and the conductive and shock wave combined target reporting is normal. The conductive target plate starts to fall smoothly, the falling starting time is about 0.75S, and the shock wave target plate starts to fall smoothly, and the falling starting time is about 0.95S.
The multifunctional target drone adopts a closed shock wave detection mode, uses a plurality of shock wave/ultrasonic piezoelectric sensors to detect bullet landing position signals, uses a high-speed operational amplifier and a comparator to process the signals, counts the time difference from the landing position to the sensor position through a high-speed CPLD/FPGA, and calculates position coordinates through a tdoa algorithm by using a 32-bit single chip microcomputer, so that the precision is high on the whole.
The foregoing shows and describes the general principles and broad features of the present invention and advantages thereof. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are described in the specification and illustrated only to illustrate the principle of the present invention, but that various changes and modifications may be made therein without departing from the spirit and scope of the present invention, which fall within the scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (8)
1. The utility model provides a shock wave detection circuit of multi-functional target drone which characterized in that: the piezoelectric sensor, the signal processing amplifier, the voltage comparator, the FPGA and the master control MCU are sequentially in communication connection; the temperature sensor and the position sensor are in communication connection with the master control MCU; the main control MCU is connected with the power supply system; the master control MCU is in information interaction with the EEPROM; the processor is also in communication connection with the laser, the night training lamp and the battery electric quantity indicating module;
the main control MCU uses a 32-bit ARM processor STM32F103RCT 6; the pin 62 of the processor STM32F103RCT6 is connected with the laser driving circuit; the pin 61 of the processor STM32F103RCT6 is connected with the light driving circuit; pin 58 of processor STM32F103RCT6 is connected to the indicator light circuit; the pin 57 of the processor STM32F103RCT6 is connected with the pin SDA of the EEPROM, and the pin 56 of the processor STM32F103RCT6 is connected with the pin SCL of the EEPROM; the pin 52 of the processor STM32F103RCT6 is connected with the pin 2 of the wireless module U42 Xbee Pro S3B, and the pin 51 of the processor STM32F103RCT6 is connected with the pin 3 of the wireless module U42 Xbee Pro S3B; the pin 40, the pin 41, the pin 42 and the pin 43 of the processor STM32F103RCT6 are connected with the FPGA module; pin 29 and pin 30 of the processor STM32F103RCT6 are connected with a serial port GPS; the pin 22 and the pin 23 of the processor STM32F103RCT6 are connected with the motor position detection module; pin 15 of the processor STM32F103RCT6 is connected with the battery voltage detection module; pin 40, pin 42 and pin 43 of the processor STM32F103RCT6 are connected with the FPGA module.
2. The shock wave detection circuit of the multi-functional target drone of claim 1, characterized in that: the FPGA module calculates the shock wave signal time and uses a chip EPM570T100C 5N; pin 74 of chip EPM570T100C5N is connected with pin 40 of processor STM32F103RCT6, pin 72 of chip EPM570T100C5N is connected with pin 41 of processor STM32F103RCT6, pin 57 of chip EPM570T100C5N is connected with pin 42 of processor STM32F103RCT6, and pin 55 of chip EPM570T100C5N is connected with pin 43 of processor STM32F103RCT 6; pin 85 of chip EPM570T100C5N is connected with PHA1 SIG of the shock wave detection part; the pin 87 of the chip EPM570T100C5N is connected with the PHA2 SIG of the shock wave detection part; pin 89 of chip EPM570T100C5N is connected with PHA3 SIG of the shock wave detection part; the pin 91 of the chip EPM570T100C5N is connected to the PHA4 SIG of the shock wave detection section.
3. The shock wave detection circuit of the multi-functional target drone of claim 2, characterized in that: pins 95, 96, 97, 98, 99 and 100 of the chip EPM570T100C5N are respectively connected with target number scoring circuits C8H, C9H, C10H, C5H, C6H and C7H; pins 1, 2, 3, 4, 5, 6, 7 and 8 of the chip EPM570T100C5N are connected to the target-scoring position circuits CX, CZX, CY, CZ, CYs, CZs, CS and CYX, respectively.
4. The shock wave detection circuit of the multi-functional target drone of claim 3, characterized in that: the probe of the circuit of the shock wave detection part is sequentially connected with and provided with four TL074 operational amplifiers, and then connected with and provided with an analog comparator MCP 6562.
5. The shock wave detection circuit of the multi-functional target drone of claim 4, characterized in that: the night training lamp adopts a light-adjustable circuit based on a chip PT4115, and two stages of light are respectively connected with a pin 1 and a pin 4 of the PT 4115; the driving of the dc motor uses either MOSFET driver IR2104S or IRFR 3607; the battery power supply system uses two paths of RT8279 to respectively generate 12V and 5V from 24V; and meanwhile, a 3.3V power supply chip LM1117 and a 2.5V power supply chip LM are added.
6. The shock wave detection circuit of the multi-functional target drone of claim 5, characterized in that: a triode S8550 is used for driving the indicating lamp of the battery power and the laser; a mode of comparing a voltage threshold DA is adopted for battery voltage detection AD, STM32 is used for carrying the DA, and a DAC operational amplifier processing circuit selects SGM 358.
7. The shock wave detection circuit of the multi-functional target drone of claim 6, characterized in that: the proximity switch PM12-04N is used for position detection of the DC motor for driving the target raising and falling motion.
8. The shock wave detection circuit of the multi-functional target drone of claim 7, characterized in that: the temperature sensor is a digital temperature sensor AHT 20; an atmospheric pressure sensor BMP280 is also included.
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Application publication date: 20211102 |