S16: Camera Gimbal - Revision history

Preet: /* Grading Criteria */

2016-05-26T17:27:47Z

‎Grading Criteria

Proj 146u4: /* Implementation */

2016-05-24T23:25:33Z

‎Implementation

Proj 146u4: /* Implementation */

2016-05-24T23:25:22Z

‎Implementation

Proj 146u4: /* Implementation */

2016-05-24T23:25:04Z

‎Implementation

Proj 146u4: /* Abstract */

2016-05-24T21:24:02Z

‎Abstract

Proj 146u4: /* Testing & Technical Challenges */

2016-05-24T21:23:35Z

‎Testing & Technical Challenges

Proj 146u4: /* My Issue #1 */

2016-05-24T21:21:59Z

‎My Issue #1

Proj 146u4: /* Conclusion */

2016-05-24T21:21:08Z

‎Conclusion

Proj 146u4: /* Testing & Technical Challenges */

2016-05-24T21:05:09Z

‎Testing & Technical Challenges

Proj 146u4: /* Testing & Technical Challenges */

2016-05-24T20:44:05Z

‎Testing & Technical Challenges

← Older revision		Revision as of 17:27, 26 May 2016
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−	~~=== Grading Criteria ===~~
−	~~<font color="green">~~
−	* 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.
−	~~</font>~~
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	== Abstract ==		== Abstract ==
	[[File:Gimbal_picture1.jpg\|700px\|thumb\|right\|Finished Gimbal Prototype]]		[[File:Gimbal_picture1.jpg\|700px\|thumb\|right\|Finished Gimbal Prototype]]

← Older revision		Revision as of 23:25, 24 May 2016
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	Using the MPU-9250 to compute Euler angles can be thought of simply as the following. However, this solution is not free of error; use of a complimentary or Kalman filter is highly recommended. Alternatively, quaternion angles can be used although the math is extremely complex.		Using the MPU-9250 to compute Euler angles can be thought of simply as the following. However, this solution is not free of error; use of a complimentary or Kalman filter is highly recommended. Alternatively, quaternion angles can be used although the math is extremely complex.
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← Older revision		Revision as of 23:25, 24 May 2016
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	Using the MPU-9250 to compute Euler angles can be thought of simply as the following. However, this solution is not free of error; use of a complimentary or Kalman filter is highly recommended. Alternatively, quaternion angles can be used although the math is extremely complex.		Using the MPU-9250 to compute Euler angles can be thought of simply as the following. However, this solution is not free of error; use of a complimentary or Kalman filter is highly recommended. Alternatively, quaternion angles can be used although the math is extremely complex.
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← Older revision		Revision as of 23:25, 24 May 2016
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	[[File:Gimbal_Program_Flow.png \|800px \| left\| Figure 8. Gimbal Program Flow]]		[[File:Gimbal_Program_Flow.png \|800px \| left\| Figure 8. Gimbal Program Flow]]
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	=== Implementation ===		=== Implementation ===

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 == Abstract ==
-[[File:Gimbal_picture1.jpg|450px|thumb|right|Finished Gimbal Prototype]]
+[[File:Gimbal_picture1.jpg|700px|thumb|right|Finished Gimbal Prototype]]
 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.

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 == Testing & Technical Challenges ==
-=== My Issue #1 ===
+=== Issue #1 Motor types ===
 The first issue is that servos dont have the necessary resolution to be accurate enough to cancel out video instability.
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 A geared DC brushed motor can also be used and in terms of control is much easier to use then a brush-less motor, however the physical design around the motors and creating the full gimbal would require a much more complicated system.
-=== My Issue #2 ===
+=== Issue #2 Placement of Sensors ===
 Another issue would be the sensor feedback that was used. For this project, all sensors were stationary in the handle of the gimbal. This solution only works with servos because servos have their own method of feedback internally. For the level of precision that we were aiming for, using the stationary sensors sufficed. With greater precision applications, this method would not necessarily be enough. The most precise set-up would be to have stationary sensors and another set of sensors in the gimbaled section of the device that work together with a complementary filter.
-=== My Issue #3 ===
+=== Issue #3 Type of feedback for Yaw ===
 The next issue we came across, that directly effected our design was the method of feedback that was used for our Yaw. The design was initially planned to use a magnetometer(compass) to figure what orientation the Yaw is in. Through testing, it was found that the magnetometer was to jumpy due to magnetic noise in the surrounding environment. The magnetometer did work in some sense but not with an accuracy fit for the use of this project.

← Older revision		Revision as of 21:21, 24 May 2016
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	A geared DC brushed motor can also be used and in terms of control is much easier to use then a brush-less motor, however the physical design around the motors and creating the full gimbal would require a much more complicated system.		A geared DC brushed motor can also be used and in terms of control is much easier to use then a brush-less motor, however the physical design around the motors and creating the full gimbal would require a much more complicated system.
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	=== My Issue #2 ===		=== My Issue #2 ===

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 == Conclusion ==
-Conclude your project here.  You can recap your testing and problems.  You should address the "so what" part here to indicate what you ultimately learnt from this project.  How has this project increased your knowledge?
 === Project Video ===

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 == 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?
+Issue 1: Need more precise method of gimbaling
-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.
+The first issue is that servos dont have the necessary resolution to be accurate enough to cancel out video instability.
 == Conclusion ==