S15: Touch Navigator

Grading Criteria

• How well is Software & Hardware Design described?
• How well can this report be used to reproduce this project?
• Code Quality
• Overall Report Quality:
  • Software Block Diagrams
  • Hardware Block Diagrams

    Schematic Quality

  • Quality of technical challenges and solutions adopted.

Touch Navigator

Abstract

The purpose of this project is to implement a robot car which will follow the path drawn on the touch screen.

Objectives & Introduction

• The prime objective of this project is traversing a robotic car autonomously through specific map or grid,depending upon the points drawn on the touchscreen.SJ-ONE board is used giving control signals to motor driver IC and communication between user interface and car. communication between 2 boards is implemented by Embedded baseband wireless protocol using a on-board NORDIC wireless chip .Obstacle sensors are used to detect obstacles and avoid collision.
• Focus of project was to make an Real-time system/application using touchscreen and SJ-ONE development board which could guide and navigate a vehicle through a specific or predefined area.

Team Members & Responsibilities

• Athavan Kanagasabapathy
• James Sushanth Anandraj
• Ravikumar Vanjara
• Rishit Borad

Schedule

Week	Start Date	End Date	Task	Status	Actual Completion Date
1	4/7/2015	4/21/2015	Developing Android Application to communicate to SJOne board over UART	Completed Successfully	4/19/2015
2	4/14/2015	4/21/2015	Interfacing the motor with the SJOne and controlling the direction and speed.	Completed Successfully	4/21/2015
3	4/21/2015	4/28/2015	Writing application in android to draw paths.	Completed Successfully	4/30/2015
4	5/09/2015	5/11/2015	Interfacing with the obstruction sensors.	Completed Successfully	5/11/2015
5	4/29/2015	5/4/2015	Mapping traversal area/co-ordinates on the android application.	In Progress	In Progress
6	5/11/2015	5/--/2015	Integrating the Obstruction detection in main application.	In Progress	In Progress
7	5/18/2015	5/--/2015	Testing	In Progress	In Progress

Part List

Sr.No.	Parts	Cost	Useful part links/Datasheets
1	Dual H-Bridge Motor Driver for DC Motor L293D	2.5 $	ST microelectronics Datasheet
2	Car chassis parts - Wheels, shaft, DC motors(2), body	12.0 $	RC Car
3	Batteries/ Power source	5.0 $	Power Bank
4	IR Leds and IR sensor (TSOP38238)	10.0 $	IR sensor Datasheet
5	Antennas for Nordic communication	4.0 $	Router antennas

Design & Implementation

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Block Diagram

Hardware Interface

• SJone Board

The SJ-One Board consists of LPC1758 microcontroller which belongs to the family of ARM Cortex-M3. It operates upto 100MHz clock frequency. ARM Cortex-M3 has a built-in Nested Vectored Interrupt Controller(NVIC) which can support 35 vectored interrupts. It has 512 KB of on-chip flash memory,64Kb on-chip SRAM. The SJ-One board also has a built-in Nordic Wirless device embed on it namely "nRF24L01P", which is used as wireless communication from one board to another board. The board has many accelerated GPIO pins and each of the port pins can be controlled as I/O individually.

• Nordic wireless

The nRF24L01P is a single chip 2.4GHz transceiver with an embedded baseband protocol engine (Enhanced ShockBurst™), suitable for ultra low power wireless applications. This Nordic wireless device operates at the ISM frequency at the range 2.4 to 2.4835GHz. The design interface between the Nordic wireless device and SJ-One board was established through a Serial Peripheral Interface (SPI) bus. The register map, which is available through the SPI, contains all setup enrolls in the nRF24L01+ and is open in all operation methods of the chip. The wirless communication done by packet-based messgae communication. Internal FIFOs ensure a smooth data flow between the radio front end and the system’s MCU. The radio front end uses GFSK modulation. It has user configurable parameters like frequency channel, output power and air data rate. nRF24L01+ supports an air data rate of 250 kbps, 1 Mbps and 2Mbps. The two power saving modes make the nRF24L01+ very suitable for ultra low power designs.

• Motor driver

The L293D are quadruple high-current half-H bridge drivers. The L293D is designed to provide bidirectional drive currents of up to 600-mA at voltages from 4.5 V to 36 V. The internal block diagram of L293D is shown as below,

In this project, we are using two DC motors at the front and backend of the car in order to control the direction and forward/backward movement respectively. All inputs of the IC is TTL compatible. As in the block diagram there are 4 internal drivers. The drivers 1 and 2 are used for controlling the movement of the car and are enabled by Pin 1. The drivers 3 and 4 are utilized for another motor which controls the direction of the car and are enabled by Pin 9.

• FT232

The FT232 is a USB to Serial UART interface. It provides a single chip USB to Serial data transfer interface.Since USB is the most commonly available communication port on many modern devices. This chip allows us to interface LPC1758 with our Android device. We were able to obtain jar files that support common functions like open,connect, config, read , write and close.

Generating Car Control Commands from Touch Data

To generate the car control commands for TouchNavigator, we are using JS as an UI of our Android device. TouchEvents API is used to get the track of user activity on our android device. We are taking co-ordinates after user picks up his finger from the android device (action.up event). Co-ordinates are then formulated to generate meaningful data i.e commands for the TouchNavigator as our TouchNavigator understands only pre-defined commands to move on predetermined path.

For TouchNavigator to go to next point it is required to get the angle and the distance between current point and next point. For angle we are using atan() function and for distance we are using cartesian distance between two points. Challenge in using atan() is it is giving angles between two points as per Fig: Arctan given below.

This is not so much useful for our TouchNavigator as angles understood by TouchNavigator are discrete. To generate a correct command, angles needed to be clear to understand. As a resolution to this problem we are mapping angles generated by atan() to a circle(Fig. Mapped Arctan).

It is not enough to generate angles between two points as every time it generates an angle referring Fig. Mapped Arctan. In other words, for example in a 4 quadrant map, we are calculating an angle between point(0,0) and (0,1) we get 90 degree and then from (0,1) to (-1,2) we get 135 degree. But the displacement from current orientation to next orientation is 45 degree on left side. So we are calculating displacement in orientation so that TouchNavigator does not go back to its default orientation and come back again at next orientation. We are also limiting the turning angle to 179 degree, for more then 179 degree angle it calculates the smaller angle which is in range of 0-179 degree. Based on process mentioned above we are generating below commands

      1) m f : move forward.
      2) m l 30: move left by 30 degree.
      3) m r 45: move right by 45 degree.
      etc.

Information processing stages

The flow of information from the touchscreen to the transmitter LPC1768 is detailed below

State Machine

Testing & Technical Challenges

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My Issue #1

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Conclusion

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Project Video

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Project Source Code

• Sourceforge Source Code Link

References

Acknowledgement

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References Used

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Appendix

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