S.E.V Solar Extended Vehicle

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Transcription:

S.E.V Solar Extended Vehicle EEL 4914 Senior Design II Group #4 Hamed Alostath Daniel Grainger Frank Niles Sergio Roig

Motivation The majority of electric motor RC planes tend to have a low flight time Solar panels are not typically used in small UAVs There is a high demand for autonomous drones in military applications

Goals Build an aerial vehicle that uses solar power to extend the overall flight time of a RC plane To have the plane fly autonomously in a slow, descending circular path To further reduce power consumption by allowing the plane to periodically glide with the motor turned off, then throttle up and climb to max alt

Overall Block Diagram

Airframe: Specifications Wing Area: 465 in 2 (30 dm 2 ) Wing Span: 51.18 in (1300 mm) Length: 65.35 in (1660 mm) Total Weight: 2.2 lb (1.0 kg) Wing Loading: 2.1935 g/in 2 (34 g/dm 2 )

Functionality: Physical Features Overhead wing (gliding) No ailerons on the main wing Push propeller rather than pull propeller Hand-launched take-off method Deep-stall landing method

Typical Interaction of Motor, Servos, and ESC Motor Electronic Speed Controller Servo1 Receiver Servo2 Remote Controller

Motor Selection Features Lightweight Large KV output (RPM/Volt) Outrunner motor Specifications KV Rating: 1100 rpm/volt Input Voltage: 7.2-12V Continuous Current: 30A Max Burst Current: 42A

ESC Selection Requirements Current rating must be greater than or equal to the motor. Specifications Cont. Current: 60A Burst Current: 75A Operating Voltage: 4.8-6.0V Weight: 66g (2.33 oz)

Servo Selection Operation Vertical tailfin rudder Horizontal tailfin elevator Metal gear Specifications Torque: 2.0 kg/cm Operating Speed: 0.11 sec/60 degrees Operating Voltage: 4.8-6.0V Weight: 9g (0.32oz)

The E-Flite Apprentice 15E served as our initial prototype Allowed for testing our electronic connections Practice our RC flying skills Airframe: Testing

Hardware Design Solar Extended Vehicle µcontroller GPS 3-axis Gyroscope 3-axis Accelerometer Solar panels Charging Circuit Battery µcontroller

ATmega328 by Atmel 8-Bit AVR RISC Architecture Arduino Development Environment TQFP package 8 ADC Two Wire Interface/USART Yaw/Pitch/Roll stabilizes the SEV Inertial forces

ATmega328 LY530ALH Z-axis LPR530AL X/Y axis ADXL335 X/Y/Z axes MT3329 GPS Navigation Unit ATmega328 LY530ALH LPR530AL ADXL335 MT3329 Sample $9.95 $7.95 $9.95 $63.51 1.8 5.5 V 3 V 3 V 3V 4.5 6.5 V 8-channel 10-bit ADC Analog Output Analog Output Analog Output Rx/Tx

Autopilot Unit ATtiny45 Xbee-Pro (RF) RC Rx (RF) Sample $95.37 $9.00 ATmega328 ATtiny45 Xbee-Pro 900MHz 2.4G 6-channel Receiver Throttle/Rudder/Elevator 1.8 5.5 V 3 3.6 V 4.5 6.5 V - 900 MHz 2.4 GHz UART UART Ground Station Laptop Xbee-Pro 900MHz 2.4G DX5e 5-channel Transmitter

Hardware Block Diagram Z LY530ALH GPS MT3329 Tx/Rx Solar Arrays Charging Circuit X/Y LPR530AL ADC ATmega328 SDA/SCL Battery ADXL335 X/Y/Z SDA/SCL ATmega328 UART Xbee pro @ 900 MHz Xbee pro RC Tx @ Ground Station Tx/Rx ATtiny45 SDA/SCL Servos Servos PWM ESC Motor RC Rx @ 2.4 GHz

Printed Circuit Boards Charging Circuit Board LT3652 MPPT Charging Controller Connectors: Solar Cells, Battery, ESC

Autopilot Circuit Board Single and dual axis Gyroscopes Accelerometer Center of Gravity Connectors: Charging- Circuit Circuit-Board, GPS, Xbee-Pro, and Servos Autopilot Circuit Board

Power System The power system will consist of the following items: Solar Panels Lithium Polymer Battery Pack Maximum Power Point Tracking Circuit

Solar Cells The solar cells that we were integrating into our S.E.V project had to meet three very important design criteria. High Total Maximum Output Lightweight Easy System Integration PowerFilm RC7.2-75

Comparison of Solar Cells Panel SolMaxx Flex 7.2V 100mA SolMaxx Flex 7.2V 200mA PowerFilm RC7.2-75 Dimensions: 10.6 x 3.9 10.6 x 6.9 10.6 x 3.5 Weight: 1.1 oz 1.9 oz 0.2 oz Total Weight: 8.8 oz 7.6 oz 1.6 oz Thickness: NA NA 0.2 mm Voltage: 7.2V 7.2V 7.2V Total Output: 291 ma @ 19.8V 291mA 19.8V 291mA 19.8V Price: $20.95 ea. $37.75 ea. $27.45 ea.

Solar Array Configuration Series/ Parallel 19.8V @ 291 ma

Type: Capacity: Voltage: Wire Gauge: Weight: Configuration: Length: Width: Height: Maximum Continuous Discharge : Maximum Continuous Current : LiPo Battery Pack E-flite EFLB1040 LiPo 3200mAh 11.1V Connector 12 AWG 9.9 oz (251g) 3S 5.20 in (132mm) 1.70 in (43.2mm) 0.90 in (22.9mm) 15C 48A

What is Maximum Power Point Tracker MPPT or Maximum Power Point Tracking is an algorithm that included in charge controllers used for extracting maximum available power from PV module under certain conditions. The voltage at which PV module can produce maximum power is called maximum power point (or peak power voltage). Maximum power varies with: Solar Radiation Ambient Temperature Solar Cell Temperature.

LT3652 - Power Tracking 2A Battery Charger for Solar Power Wide Input Voltage Range: 4.95V to 32V (40V Abs Max) Programmable Charge Rate Up to 2A User Selectable Termination: C/10 or On-Board Termination Timer Resistor Programmable Float Voltage Up to 14.4V Accommodates Li-Ion/Polymer, LiFePO 4, SLA, NiMH/NiCd Chemistries No V IN Blocking Diode Required for Battery Voltages 4.2V 1MHz Fixed Frequency 0.5% Float Voltage Reference Accuracy 5% Charge Current Accuracy 2.5% C/10 Detection Accuracy Binary-Coded Open-Collector Status Pins 3mm 3mm MSOP-12 Package

LT3652 Maximum Power Point Tracking Circuit

Voltage Monitor Programming The LT3652 also contains a voltage monitor pin that enables it to monitor the minimum amount of voltage coming into the MPPT. The input supply voltage regulation is controlled via the voltage divider resistor R IN1 and R IN2. An operating supply voltage can be programmed by monitoring the supply through the resistor divider network. This is done by having a ratio of R IN1 /R IN2 for a desired minimum voltage. In order to achieve the 11.1V needed: R IN1 /R IN2 = (V IN(MIN) /2.7) - 1 R IN1 /R IN2 = 12.185

Float Voltage Monitor Programming Using a resistor divider is needed to program the desired float voltage, V BAT(FLT), for the battery system. In particular, resistors R FB1 and R FB2 will have to have the correct values to set the 12.6-volt float charge needed in the lithium polymer battery pack. R FB1 = (V BAT(FLT) * 2.5 * 10 5 )/3.3 R FB2 = (R1*(2.5*10 5 ))/(R1*(2.5*10 5 )) R FB1 = 943.18 KΩ R FB2 = 340.16 KΩ

Charge Current Programming Charge current programming is set by choosing an inductor sense resistor. For our particular circuit that we are designing the total expected max current that we would see from the circuit is 463mA. The expected value for R Sense would be a resistor with an approximate value of 0.2161Ω. R SENSE = 0.1/I CHG(MAX) R SENSE = 0.2161 Ω

Software Design Arduino IDE ArduPilot: Open source autopilot platform AHRS Ground Control Station Simulator: XPlane

ArduPilot Manual- Full manual control Circle- Fly in a stabilized circle, this is used when there is no GPS present Stabilize- This mode will have the plane maintain level flight Fly-by-wire A- Autopilot style control via user input, manual throttle Fly-by-wire B- Autopilot style control via user input, airspeed controlled throttle Power Auto- All control of the UAV are through the ArduPilot RTL- The UAV will return to its launch location and circle until manually controlled Loiter- The UAV will circle in the current location The Fly-By-Wire B mode is where we have chosen to place our power saving code. This allows us to use the control switch to enter and exit the power saving mode.

ArduPilot Cont. The code consist of one main loop. Within the main loop there are three Functions. The fast loop checks to see if the radio controller is sending a signal, it will calculate the altitude and bearing error and last will update current flight mode. The medium loop is comprised of 5 different cases that will be executed one at a time. These cases range from navigation to timers. And most importantly checks to see if the control switch has been changed.

Power Saving Code servo_out[ch_throttle] = temp_thro; if(current_loc.alt < 3000){ temp_thro = THROTTLE_MAX; servo_out[ch_throttle] = THROTTLE_MAX; nav_roll = 0 ; nav_pitch = 1500; } if(current_loc.alt > 6000){ temp_thro = THROTTLE_MIN; servo_out[ch_throttle] = THROTTLE_MIN; nav_roll = HEAD_MAX / 3; nav_pitch = 500; }

Altitude Heading Reference System The code will be used to maintain a model of the UAV s orientation in space. This code is based on Bill Premerlani s Direction Cosine Matrix (DCM) algorithm. The DCM is a 3 by 3 matrix array; the gyro data is used in a time step integration to update the matrix. With this data from the sensors and GPS can be used to correct for errors. With this data we can determine pitch, roll and yaw; but for this project we will only be using the pitch and yaw. With this code we are now able to fly, without the control of a user, our UVA to waypoints.

Ground Control Station Through the use of Xbee modules we will be able to track the S.E.V

Before we flew the plane we tested the software. This was done in a simulated environment, we chose to do this to avoid destroying our airframes We used the XPlane software to simulate the software code. Testing was done by using development boards purchased from SparkFun Software Testing

Description Quantity Price Each Total Price Plane 1 $89.95 $119.80 Motor 1 $54.99 $58.56 Prototype plane incl. servo & ESC 2 Incl $300.00 Electronic Speed Controller 1 Incl Incl Microcontroller ATmega 328 & ATtiny45 S.E.V Actual Budget 1 Sample Free Triple-Axis Accelerometer- ADXL335 1 $5.00 $5.00 Barometric Pressure Sensor BMP085 1 Sample Free Gyroscope LY530ALH & LPR530AL 2 Sample Free GPS Mediatech MT3329 1 $63.51 $63.51 Transmitter/ Receiver 1 $32.78 $32.78 Zigbee Pro 2 $47.69 $95.37 Solar Panel PowerFilm RC7.2-75 8 $31.34 $250.69 Lithium-Ion Polymer Battery Pack 2 $53.24 $106.48 LT3652 Charging Circuit 2 $27.98 $48.88 Sub-Total $1,023.00

Difficulties Weather Conditions Landing Protocol Less solar radiance during winter months The motor was over powered for this airframe High maintenance testing Software communications difficulties

Distribution of Responsibilities Group IV Power Software Design Hardware Design Air Frame Mechanics Hamed Alostath Daniel Grainger Frank Niles Sergio Roig

Questions?