Difference between revisions of "S16: Camera Gimbal"

Revision as of 05:20, 24 May 2016

Grading Criteria

9DoF Gimbal System

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Abstract

The ‘Camera Gimbal’ is an active stabilization system for camera phones. Smartphones and handheld devices encounter issues when slight movements are encountered when a user attempts to take an image or record a video. Such issues include blurring of images and/or video. This gadget will be able to stabilize a phone by using three low RPM brushless motors that are actively controlled using PID with an accelerometer and magnetometer as feedback to the system. Using this gadget, users will achieve crisp clean photos/videos without any additional hassle.

Objectives & Introduction

The objective of this project was to create a 3-axis self-stabilizing phone holder, or gimbal. Entirely 3D printed, the system can stabilize any standard sized smartphone that is mounted using several neodymium magnets. The system utilizes 3 DC servo motors, one per each XYZ-axis of rotation to account for all degrees of motion; each motor is controlled through PWM from the SJ One Board running FreeRTOS. Using the MPU-9250 IMU, sensor data is used to compute gimbal orientation, which is mapped to PWM values as shown below. By applying filter algorithms to account for drift and/or noise, near accurate stabilization was made possible.

Steps for Reproduction 1. Find high precision digital servos and make sure they have the proper degrees of freedom needed.

2. Write or fine-tune software that will precisely control the servo’s movement to the nearest micro-second.

3. Interface with an accelerometer and magnetometer to get the feedback needed to create a closed loop-control system. 4. Creating a structure in Solid-works that holds all the individual parts together and 3D print the design. 5. Create a basic control system that controls Pitch and Roll to keep the phone in a single orientation. 6. Fine-tune that control system, implementing filters and methods of dampening to quickly go to a position while not overshooting and causing oscillation. 7. Implement Yaw control using the magnetometer’s feedback. 8. Fine tune the Yaw control system using filters and dampeners. 9. Integrate all degrees of freedom together and make proper changes to the control systems if any are needed.

Team Members & Responsibilities

• Matthew Boyd
  • Solidworks & controls systems
• Ronald Cheng
  • 9DoF solution

Schedule

Parts List & Cost

Design & Implementation

Hardware Design

This section includes the detailed hardware schematics and interface. The parts required for this system are listed above. It includes 3 servo motors control by the SJ One board, a MPU-9250 9DoF sensor to measure system orientation, and two voltage regulars to both power the SJ One board and servo motors.

Figure 1. Gimbal system overview

Gimbal Frame

Power Regulators

Servo Motors

9DoF IMU

Figure 2. MPU-9250 9DoF IMU

The MPU-9250 is a 9DoF (degrees of freedom) IMU housing two dies integrated into a single QFN package. One die houses the 3-axis gyroscope and 3-axis accelerometer (Figure 2). The other die houses the AK8963 3-axis magnetometer.

Because the SJ One board only includes a 6DoF, this sensor provides an accurate solution of measuring yaw in respect to magnetic north. However, magnetometers often include error as a result of noise; this is solved by applying filtering algorithms (complimentary or kalman filter).Though measuring yaw is possible with only a gyroscope by applying a Riemann summation, this measurement is in reference to when sensor is powered on.

Hardware Interface

Figure 4. Servo freedom range and time association

This section describes how the different hardware components communicate.

Communication among the different parts are through I2C and PWM for servo control. The servos use a special form of PWM that does not rely on how much of a duty cycle is high but rather for how long of a duration the pulse in the duty cycle remains high. For most applications, this time amount is measured in micro-seconds. The specific time intervals that are required for the servos used can be seen on the right (Figure 4).

While tuning the GPIO driver created by Preetpal Kang supplied in the libraries included, it was found that setting a based frequency of 21Hz generated an output of 250Hz. From there, it was deduced that 0.025% gave an output of 1us when setting PWM duty cycle to control servo motors. Proportionally we could multiply that percentage by how many microseconds were needed to precisely control the servo position.

Software Design

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Implementation

This section includes implementation, but again, not the details, just the high level. For example, you can list the steps it takes to communicate over a sensor, or the steps needed to write a page of memory onto SPI Flash. You can include sub-sections for each of your component implementation.

Testing & Technical Challenges

Describe the challenges of your project. What advise would you give yourself or someone else if your project can be started from scratch again? Make a smooth transition to testing section and described what it took to test your project.

Include sub-sections that list out a problem and solution, such as:

My Issue #1

Discuss the issue and resolution.

Conclusion

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Project Video

9DoF Gimbal

Project Source Code

• Sourceforge Source Code Link

References

Acknowledgement

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References Used

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Appendix

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