Mapping RC Transmitter PWM signal to actual transmitter values

Mapping RC Transmitter PWM signal to actual transmitter values

Introduction

If you ever need to use an RC Transmitter & receiver for a personal project, an easy way to retrieve the signal is to connect the receiver to a micro-controller.

However, decoding the signal to get actual transmitter values is not as easy as it sounds. You need to know the correct encoding and searching on the internet about the subject gives erratic results.

Here is the full article that explains how to correctly map an RC Transmitter PWM signal to actual transmitter values.

How does it works?

The receiver signal is encoded with a Pulse Width Modulation. In other way, the transfer of the signal is analog and not digital. This means there is no direct method to read the signal. To accurately read the signal, you need to know the given length of the pulse for each unique transmitter values.

Using benchmark data, I managed to find approximation functions that works for most transmitter values. Multiple benchmark data is available for multiple combination of transmitter and receiver.

What is expected

If you search on the internet, you will find information regarding servos which typically uses the same “kind” of PWM signal.  However, as you will see in the next section, the minimum and maximum values for a servo does not match their counterpart on a RC transmitter.

Theoretical values

Most information sources about servo control states that generally the minimum pulse will be about 1 ms wide and the maximum pulse will be 2 ms wide.

The following table shows the theoretical pulse length for each transmitter values:

Expected Transmitter Pulses
Length (µS) Value
1000 -100%
1500 0%
2000 100%

Extrapolation

Knowing that a pulse delta time of 1000 µS (from 1000 µS to 2000 µS) is required to identify 200 different steps (from -100% to +100%), it is then safe to assume that each step is 5 µS. With this calculation, the theoretical pulse length of other values should be identified as follows:

Extrapolated Transmitter Pulses
Length (µS) Value
750 -150%
875 -125%
1125 -75%
1250 -50%
1375 -25%
1625 25%
1750 50%
1875 75%
2125 125%
2250 150%

WRONG!

 

Theoretical values is never as good as real world observations.

Capture methodology

For the data capture, I used an Arduino Nano V3 micro-controller. With the help of multiple libraries, I created a program to capture each pulse length of critical target point for a given amount of time. Since the length of each pulse is not perfectly constant, I extracted the average pulse length. Matching different points, I calculated multiple trend line formulas in polynomial format. I then calculate each formula performance against all other points. Finally, I identify the best formula to be used in real projects.

Note that all raw data capture are available for download as Excel files (*.xlsx) in sections below.

Required Libraries

PinChangeInt

This library allows the arduino to attach interrupts on multiple pins.

eRCaGuy_Timer2_Counter

This library configures the arduino’s timer2 to 0.5µs precision. It is used for a “micros()” function replacement and allows times calculations that are far more precise (8 times!) than the default’s 4µs resolution.

PWM capture code

Here is the final arduino code that allowed raw data capture to extract average pulse length for each critical target point:

Download the arduino source code: RC Transmitter PWM Reader (*.ino) (589 downloads) .

Benchmark results

The following section show the results of all my data capture sessions. Each device combination show the following information:

Table 1

  1. A given transmitter value.
  2. Average pulse length (in µs) for the given transmitter value.
  3. Minimum and Maximum pulse length for the given transmitter value.
  4. Width of pulses in µs (difference between maximum and minimum length)
  5. Middle pulse length. Middle point between minimum and maximum pulses.

Table 2
Table 2 shows selected control points and the polynomial function for the selected points. Multiple polynomial functions are found using different control points.

Note that pulse length from most devices are not perfectly linear. This means that most of the time, more than 2 control points are required to get a polynomial function that is accurate.

Table 3
Table 3 shows each function’s performance trying to properly predict a transmitter value from a pulse length. The function that offers the best performance is selected as the final function.

Note that some devices are low quality products and are not always constant or does not provide constant transmitter value.

Devices

Spektrum DX9 Tx & Orange R620X Rx

Table 1
The Spektrum DX9 Tx & Orange R620X Rx shows a PWM range from 827 µs to 2194 µs. The following table shows the details of my data capture session:

Spektrum DX9 Tx & Orange R620X Rx
Tx Avg PWM Min Max Width Middle
150 2187.85 2181 2194 13 2187.5
149 2180.73 2175 2186 11 2180.5
148 2178.54 2173 2184 11 2178.5
147 2173.86 2168 2180 12 2174
146 2167.92 2163 2173 10 2168
100 1961.01 1956 1966 10 1961
50 1732.35 1727 1738 11 1732.5
0 1505.40 1499 1512 13 1505.5
-50 1277.65 1273 1284 11 1278.5
-100 1050.22 1045 1055 10 1050
-120 959.43 954 964 10 959
-135 891.52 887 896 9 891.5
-146 841.55 835 848 13 841.5
-147 836.76 832 843 11 837.5
-148 832.02 827 837 10 832
-149 827.47 822 833 11 827.5
-150 826.80 821 832 11 826.5

Table 2
From these values, I extracted the following polynomial functions:

Polynomial Equation Py1 Px1 Py2 Px2 a2 a1 a0
0 150 2187.85 -150 826.80 0 0.220417088 -332.2399666
1 146 2167.92 -135 891.52 0 0.220149733 -331.2670095
2 100 1961.01 -100 1050.22 0 0.219590069 -330.6178825
3 148 2178.54 -148 832.016 0 0.219825269 -330.8981407
4 146 2167.92 -146 841.548 0 0.2201494 -331.2662873
5 149 2180.73 -149 827.468 0 0.220208326 -331.2153431
6         -8.0E-08 0.2203 -331.37

Table 3
The following table shows details for calculating the performance of each polynomial functions:

Tx Avg PWM Eq0 Diff 0 Eq1 Diff 1 Eq2 Diff 2 Eq3 Diff 3 Eq4 Diff 4 Eq5 Diff 5 Eq6 Diff 6
150 2187.85 150 0 150 0.39 150 0.19 150 0.05 150 0.39 151 0.57 150 0.23
149 2180.73 148 0.57 149 0.18 148 0.75 148 0.52 149 0.18 149 0 149 0.34
148 2178.54 148 0.05 148 0.34 148 0.23 148 0 148 0.34 149 0.52 148 0.18
147 2173.86 147 0.08 147 0.31 147 0.26 147 0.03 147 0.31 147 0.49 147 0.15
146 2167.92 146 0.39 146 0 145 0.56 146 0.33 146 0 146 0.18 146 0.15
100 1961.01 100 0 100 0.45 100 0 100 0.18 100 0.45 101 0.61 100 0.33
50 1732.35 50 0.4 50 0.11 50 0.21 50 0.08 50 0.11 50 0.26 50 0.03
0 1505.41 0 0.42 0 0.15 0 0.05 0 0.03 0 0.15 0 0.29 0 0.09
-50 1277.65 -51 0.62 -50 0.01 -50 0.06 -50 0.04 -50 0.01 -50 0.13 -50 0.03
-100 1050.22 -101 0.75 -100 0.06 -100 0 -100 0.03 -100 0.06 -100 0.05 -100 0.09
-120 959.43 -121 0.76 -120 0.05 -120 0.06 -120 0.01 -120 0.05 -120 0.06 -120 0.08
-135 891.52 -136 0.73 -135 0 -135 0.15 -135 0.08 -135 0 -135 0.1 -135 0.03
-146 841.55 -147 0.75 -146 0 -146 0.18 -146 0.1 -146 0 -146 0.1 -146 0.03
-147 836.76 -148 0.8 -147 0.05 -147 0.13 -147 0.04 -147 0.05 -147 0.05 -147 0.09
-148 832.02 -149 0.85 -148 0.1 -148 0.08 -148 0 -148 0.1 -148 0 -148 0.13
-149 827.47 -150 0.85 -149 0.1 -149 0.09 -149 0 -149 0.1 -149 0 -149 0.13
-150 826.8 -150 0 -149 0.75 -149 0.94 -149 0.85 -149 0.75 -149 0.85 -149 0.72
      8.05   3.04   3.94   2.37   3.04   4.26   2.85

The table above shows two polynomial functions (see highlighted columns) that offers the best performance :

  • Function #3 (which has an order of 1) and a sum of 2.37.
  • Function #6 (which has an order of 2) and a sum of 2.85.

Even if function #6 has a sum higher than function #3, the accuracy of function #3 is better since only a single control point does not match the expected values. For example, function #3 evaluates a pwm of 2180.73 µs to 148 while function #6 evaluates to 149 which is correct.

The following polynomial function offers the best performance to compute the Spektrum DX9 RC Transmitter value from the Orange R620X Rx pulse length:

f(x) = -8.0e-8*x2 + 0.2203*x – 331.37

Download the Spektrum DX9 Tx & Orange R620X Rx (650 downloads)  full data capture.

Spektrum DX9 Tx & Spektrum AR8000 Rx

Table 1
The Spektrum DX9 Tx & Spektrum AR8000 Rx shows a PWM range from 921 µs to 2129 µs. The following table shows the details of my data capture session:

Spektrum DX9 Tx & Spektrum AR8000 Rx
Tx Avg PWM Min Max Width Middle
150 2123.57 2119 2129 10 2124.0
149 2119.40 2113 2124 11 2118.5
148 2115.38 2109 2121 12 2115.0
147 2111.07 2105 2116 11 2110.5
146 2106.94 2101 2111 10 2106.0
100 1923.78 1918 1929 11 1923.5
50 1724.52 1720 1729 9 1724.5
0 1525.23 1520 1531 11 1525.5
-50 1325.74 1319 1331 12 1325.0
-100 1126.63 1122 1132 10 1127.0
-120 1047.06 1041 1051 10 1046.0
-135 987.40 983 992 9 987.5
-146 943.40 939 948 9 943.5
-147 939.48 935 944 9 939.5
-148 935.34 929 940 11 934.5
-149 931.24 926 936 10 931.0
-150 927.43 921 932 11 926.5

Table 2
From these values, I extracted the following polynomial functions:

Polynomial Equation Py1 Px1 Py2 Px2 a2 a1 a0
0 150 2123.57 -150 927.43 0 0.25080676 -382.605213
1 146 2106.94 -135 987.40 0 0.25099594 -382.8344
2 100 1923.78 -100 1126.63 0 0.25089444 -382.665703
3 148 2115.38 -148 935.34 0 0.25083895 -382.619708
4 146 2106.94 -146 943.40 0 0.25095742 -382.75323
5 149 2119.40 -149 931.24 0 0.25080797 -382.563419
6         -1.0E-07 0.2513 -382.95

Table 3
Again, calculating the performance of each polynomial functions:

Tx Average PWM Eq0 Diff 0 Eq1 Diff 1 Eq2 Diff 2 Eq3 Diff 3 Eq4 Diff 4 Eq5 Diff 5 Eq6 Diff 6
150 2123.57 150 0 150 0.17 150 0.13 150 0.05 150 0.17 150 0.04 150 0.25
149 2119.40 149 0.04 149 0.13 149 0.08 149 0.01 149 0.13 149 0 149 0.21
148 2115.38 148 0.05 148 0.12 148 0.07 148 0 148 0.12 148 0.01 148 0.2
147 2111.07 147 0.14 147 0.04 147 0.01 147 0.08 147 0.03 147 0.09 147 0.12
146 2106.94 146 0.17 146 0 146 0.05 146 0.12 146 0 146 0.13 146 0.08
100 1923.78 100 0.11 100 0.03 100 0 100 0.06 100 0.03 100 0.06 100 0.13
50 1724.52 50 0.08 50 0.01 50 0.01 50 0.04 50 0.03 50 0.04 50 0.13
0 1525.23 0 0.07 0 0.01 0 0.01 0 0.03 0 0.02 0 0.02 0 0.11
-50 1325.74 -50 0.1 -50 0.08 -50 0.04 -50 0.07 -50 0.05 -50 0.06 -50 0.03
-100 1126.63 -100 0.04 -100 0.05 -100 0 -100 0.02 -100 0.02 -100 0 -100 0.05
-120 1047.06 -120 0 -120 0.03 -120 0.04 -120 0.02 -120 0.01 -120 0.05 -120 0.07
-135 987.40 -135 0.04 -135 0 -135 0.07 -135 0.06 -135 0.04 -135 0.09 -135 0.09
-146 943.40 -146 0.01 -146 0.04 -146 0.03 -146 0.02 -146 0 -146 0.05 -146 0.04
-147 939.48 -147 0.02 -147 0.03 -147 0.05 -147 0.04 -147 0.02 -147 0.07 -147 0.05
-148 935.34 -148 0.02 -148 0.07 -148 0.01 -148 0 -148 0.02 -148 0.03 -148 0.01
-149 931.24 -149 0.04 -149 0.1 -149 0.02 -149 0.03 -149 0.05 -149 0 -149 0.02
-150 927.43 -150 0 -150 0.05 -150 0.02 -150 0.02 -150 0.01 -150 0.04 -150 0.03
      0.93   0.95   0.62   0.67   0.75   0.78   1.59

The table above shows two polynomial functions (see highlighted columns) that offers the best performance :

  • Function #2 (which has an order of 1) and a sum of 0.62.
  • Function #6 (which has an order of 2) and a sum of 1.59.

Function #2 offers the best performance. It is even better than the polynomial function with an order of 3. All control points matches the expected values. This means that Spektrum AR8000 Rx delivers near-perfect and linear PWM values for all given transmitter values.

The following polynomial function offers the best performance to compute the Spektrum DX9 RC Transmitter value from the Spektrum AR8000 Rx pulse length:

f(x) = 0.25089444*x – 382.665703

Download the Spektrum DX9 Tx & Spektrum AR8000 Rx (624 downloads)  full data capture.

Tactic TTX600 Tx & Tactic TR624 Rx

Notes:
The TTX600 transmitter is not digital. This means that it is hard to reproduce the exact behavior every time. As you can see the result are pretty erratic. Each different channel has a different behavior.

For extracting the data, I assumed that moving any sticks to the top, bottom, left and right position would always match a perfect 100% (or -100%). Other values (+60%, -60%) are based on the documentation manual which states that high and low dual rates are based on a 100% and 60% ratio.

Note that each channel section are identified by a unique color which helps to identify the source of each Polynomial Equation.

Table 1
The Tactic TTX600 Tx & Tactic TR624 Rx shows a PWM range from 984 µs to 2030 µs. The following table shows the details of my data capture session:

Tactic TTX600 tx & Tactic TR624
Tx Avg PWM Min Max Width Middle Comment
100 1969.01 1962 1973 11 1967.5 CH1 +100
60 1793.74 1789 1800 11 1794.5 CH1 +60
0 1502.62 1498 1508 10 1503.0 CH1 0
-60 1214.30 1209 1219 10 1214.0 CH1 -60
-100 1042.41 1037 1046 9 1041.5 CH1 -100
100 2022.89 2017 2030 13 2023.5 CH2 +100
60 1838.71 1834 1844 10 1839.0 CH2 +60
0 1530.52 1526 1536 10 1531.0 CH2 0
-60 1230.26 1226 1235 9 1230.5 CH2 -60
-100 1048.09 1043 1052 9 1047.5 CH2 -100
100 2010.15 2004 2016 12 2010.0 CH5 +100
-100 989.31 985 995 10 990.0 CH5 -100
100 2010.39 2004 2016 12 2010.0 CH6 +100
-100 989.40 984 994 10 989.0 CH6 -100

Table 2
From these values, I extracted the following polynomial functions:

Polynomial Equation Py1 Px1 Py2 Px2 a2 a1 a0
0 100 2010.152 -100 989.308 0 0.19591632 -293.821583
1 100 2010.392 -100 989.402 0 0.1958883 -293.81228
2 100 2022.892 -100 1048.088 0 0.20516945 -315.035638
3 60 1838.708 -60 1230.256 0 0.1972218 -302.633306
4 100 2022.892 -60 1230.256 0 0.2018581 -308.337143
5 60 1838.708 -100 1048.088 0 0.20237282 -312.104526
6 all control points 9.00E-06 0.1755 -287.34
7 CH1 control points -3.00E-06 0.2221 -327.22
8 CH2 control points -3.00E-06 0.2135 -318.97

Table 3 (for CH1)
The following table shows details for calculating the performance of each polynomial functions:

Tx Avg PWM Eq2 Diff 2 Eq3 Diff 3 Eq4 Diff 4 Eq5 Diff 5 Eq6 Diff 6 Eq7 Diff 7 Eq8 Diff 8
100 1969.01 89 11.05 86 14.3 89 10.88 86 13.63 93 6.89 98 1.53 90 10.22
60 1793.74 53 7.02 51 8.87 54 6.26 51 9.1 56 3.58 62 1.52 54 5.66
0 1502.62 -7 6.74 -6 6.28 -5 5.02 -8 8.02 -3 3.31 0 0.26 -5 4.93
-60 1214.30 -66 5.9 -63 3.15 -63 3.22 -66 6.36 -61 0.96 -62 1.95 -64 4.14
-100 1042.41 -101 1.17 -97 2.95 -98 2.08 -101 1.15 -95 5.38 -99 1.04 -100 0.32
      31.88   35.55   27.46   38.26   20.12   6.3   25.28

Table 3 (for CH2)
The following table shows details for calculating the performance of each polynomial functions:

Tx Avg PWM Eq2 Diff 2 Eq3 Diff 3 Eq4 Diff 4 Eq5 Diff 5 Eq6 Diff 6 Eq7 Diff 7 Eq8 Diff 8
100 2022.89 100 0 96 3.67 100 0 97 2.73 105 4.51 110 9.79 101 0.64
60 1838.71 62 2.21 60 0 63 2.82 60 0 66 5.78 71 11.01 63 3.45
0 1530.52 -1 1.02 -1 0.78 1 0.61 -2 2.37 2 2.35 6 5.68 1 0.77
-60 1230.26 -63 2.62 -60 0 -60 0 -63 3.13 -58 2.19 -59 1.48 -61 0.85
-100 1048.09 -100 0 -96 4.07 -97 3.23 -100 0 -94 6.49 -98 2.26 -98 1.5
      5.85   8.53   6.66   8.23   21.31   30.23   7.21

The two tables above shows two polynomial functions (see highlighted columns) that offers the best performance:

  • Function #7 (which has an order of 2) and a sum of 6.3.
  • Function #8 (which has an order of 2) and a sum of 7.21.
  • All polynomial function which has an order of 1 shows terrible prediction performance.

Note that best function for channel 1 (function #7) shows terrible results when used in calculations of channel 2. That is also for function 8. This means that there is no generic function that can be used for all channel situations. As a proof, function #6 which is based on all observed values for all channels shows terrible results.

In other words, reading the PWM length or the Tactic TTX600 Tx & Tactic TR624 Rx combination can only be used for detecting if the sticks are “up”, “centered” or “down” but not really “how much up or down”.

The following polynomial functions offers the best performance to compute the Tactic TTX600 Tx transmitter value from the Tactic TR624 Rx pulse length:

Channel 1 :

f(x) = -3.0E-6*x2 + 0.2221*x – 327.22

Channel 2 :

f(x) = -3.0E-6*x2 + 0.2135*x – 318.97

Download the  Tactic TTX600 Tx & Tactic TR624 Rx (636 downloads) full data capture.

CCPM Servo Tester

Table 1
The CCPM Servo Tester shows a PWM range from 900 µs to 2210 µs. The following table shows the details of my data capture session:

CCPM Servo Tester
Value Avg PWM Min Max Width Middle Comment
100 2103.82 2098 2110 12 2104 CW
0 1504.75 1501 1511 10 1506 CENTER
-100 903.77 900 909 9 904.5 CCW

Note that values for the CCPM Server Tester (100, -100) are assumptions and represents clockwise and counterclockwise positions of the potentiometer. In fact, based on the observed PWM values, the values should be more in the (133, -133) range according the Spektrum DX9 Tx & Orange R620X Rx results or in (150, -150) range according the Spektrum DX9 Tx & Spektrum AR8000 Rx results.

Table 2
From these values, I extracted the following polynomial functions:

Polynomial Equation Py1 Px1 Py2 Px2 a2 a1 a0
0 100 2103.82 -100 903.77 0 0.16665945 -250.62214
1 100 2103.824 0 1504.752 0 0.16692484 -251.180493
2 0 1504.752 -100 903.772 0 0.16639489 -250.383041
3         4.0E-07 0.1653 -249.78

Table 3
The following table shows details for calculating the performance of each polynomial functions:

Value Avg PWM Eq0 Diff 0 Eq1 Diff 1 Eq2 Diff 2 Eq3 Diff 3
100 2103.82 100 0 100 0 100 0.32 100 0.25
0 1504.75 0 0.16 0 0 0 0 0 0.14
-100 903.77 -100 0 -100 0.32 -100 0 -100 0.06
      0.16   0.32   0.32   0.45

Note that only 3 control points are available which means that all performance calculations will always match 2/3 controls points (since the equation is derived from these 2 points). Performance calculations are irrelevant in this particular situation.

Even if the performance of function #3 seem to be the worst, it seems like it is the one that is the most promising since it takes into account all control points.

The following polynomial function offers the best performance to compute the CCPM Servo Tester pulse length:

f(x) = 4.0E-07*x2 + 0.1653*x – 249.78

Download the  CCPM Servo Tester (643 downloads)  full data capture.

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