Differences

This shows you the differences between two versions of the page.

--- 4bar [2017/08/04 19:02] – [How to Analyze a 4 Bar Linkage with LEGOs, Solidworks, MATLAB, Gyroscope, and Accelerometer] rebeccacao
+++ 4bar [2017/08/23 08:17] (current) – [Coding in NXC to Read Sensor Data] rebeccacao
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 ===== MATLAB Program =====
 Please see [[4bMATLAB|this]] page.
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+Please download the MATLAB model of the 4-bar mechanism [[https://drive.google.com/open?id=0B4prKwfGK8d2Z0FIN2Nwb3NjZ1U|here]].
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 This is divided so that the readers won't have to scroll up and down constantly due to the large amount of information on this page.
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 ===== Modeling in Solidworks =====
 Please see [[4bSW|this]] page.
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+Please download the Solidworks assembly [[https://drive.google.com/open?id=0B4prKwfGK8d2Nm56al8yc0Y0MTQ|here]].
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+Please download the excel file that contains all of the Solidworks data [[https://drive.google.com/open?id=0B4prKwfGK8d2TTBmdElwMExRNHM|here]].
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-====== Coding in NXC to Read Sensor Data ======
+===== Coding in NXC to Read Sensor Data =====
+Please download the [[https://drive.google.com/open?id=0B4prKwfGK8d2SkRGZ3JIMGZqUjA|code]].
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 First, the mechanism with the sensors are placed on a flat surface, a function is run, as seen from [[https://www.youtube.com/watch?v=WCTdTN7qPOg|this]] video that will calibrate the gyrosensor to read zero on the chosen surface.
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 ==== Sec 2: Realistic Motor Data ====
-To ensure that the model in MATLAB matches the realistic model, the motor data from the NXT are collected such that the steady state rotational speed of the NXT motor will be known and will be used as an input to the MATLAB code.
+The results for measuring the motor speed can be found on [[4bmotor|this]] page.
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-{{ :xinke:4b:screen_shot_2017-07-26_at_1.12.38_pm.png?300 }}
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-As shown on the figure above, the steady state rotational speed of the NXT motor with the brick used for the experiment is roughly 89 RPM.
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 ==== Sec 3: Data Processing in MATLAB ====
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-==== Sec 5: MATLAB Program ====
+==== Sec 4: MATLAB Program ====
+Please download the data and the filtering program for node "a1" [[https://drive.google.com/open?id=0B4prKwfGK8d2RURFSjNEOFNfQ1U|here]].
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+Please download the data and the filtering program for node "b1" [[https://drive.google.com/open?id=0B4prKwfGK8d2VjJ5Tk95N3lnX1k|here]].
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 First, I need to read data from a .csv file and store it in MATLAB.
   M = csvread('Acc.csv',1,0);
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-==== Sec 4: Results from MATLAB ====
+==== Sec 5: Filtered Data ====
+The resultant filtered data from MATLAB can be found on [[4bdata|this]] page.
-** For Node a1 **
-{{ :xinke:a1.png?500 |}}
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-{{ :xinke:a2.png?500 |}}
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-{{ :xinke:a3.png?500 |}}
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-{{ :xinke:a4.png?500 |}}
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-{{ :xinke:a5.png?500 |}}
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-** For Node b1 **
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-{{ :xinke:4b:b1.png?500 |}}
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-{{ :xinke:4b:b2.png?500 |}}
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-{{ :xinke:4b:b3.png?500 |}}
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-{{ :xinke:4b:b4.png?500 |}}
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-{{ :xinke:4b:b5.png?500 |}}
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-** Causes for Error **
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-Hardware wise, the errors are caused by the oscillation of the sensors when the 4 bar linkage is moving to obtain data. The frictions in the pins will also prevent the experimental results to deviate from the theoretical results from MATLAB, where MATLAB is based purely on kinematics (which doesn't consider forces, or how things started to move).
-Software wise, the errors are from the error propagation in rounding and smoothing of the data from the sensor. The sensor themselves have a lot of noise (especially accelerometer) and the gyroscope sensor is known to drift. Although all of these problems was corrected to a certain extend in the MATLAB code when I processed the data. But without prior knowledge on data processing, the filters are definitely not perfect.
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 ===== Final Words =====