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matlab-convert-aerospace-coordinates

Perform aerospace unit conversions, time conversions, coordinate frame transformations, and rotation representations using Aerospace Toolbox

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About this skill
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SKILL.md

Installable skill definition

Quality Score

93/100

Supported Platforms

Universal

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Our assessment of matlab-convert-aerospace-coordinates

matlab-convert-aerospace-coordinates scores 93/100 on our quality scale, 801st of 4,646 Development & Engineering skills we index (top 18%).

Its SKILL.md is 17 KB long, well organised into 32 sections with 17 code examples: a thorough specification that gives an agent plenty to work with.

With 1,098 GitHub stars, it is one of the more widely adopted skills in the catalogue.

Substance
30/30
Structure
20/20
Description
15/15
Adoption
13/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 18 days ago, so matlab-convert-aerospace-coordinates is actively maintained.
  • No license is declared. By default that means all rights are reserved: you can read it, but reusing or redistributing it is not clearly permitted. Ask the author before building on it commercially.
  • Its trust signals score 88/100, with 1 caution from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

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Frequently asked questions

How do I install matlab-convert-aerospace-coordinates?
Run npx skills add matlab/matlab-agentic-toolkit --skill matlab-convert-aerospace-coordinates. The install tabs above show the steps for each supported agent.
Which AI agents does matlab-convert-aerospace-coordinates work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is matlab-convert-aerospace-coordinates safe to use?
It declares no license and scores 88/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is matlab-convert-aerospace-coordinates still maintained?
The repository was last updated 18 days ago, so matlab-convert-aerospace-coordinates is actively maintained.

name: matlab-convert-aerospace-coordinates description: > Perform aerospace unit conversions, time conversions, coordinate frame transformations, and rotation representations using Aerospace Toolbox. Use when converting units (length, velocity, angle, acceleration, angular velocity, force, mass, pressure, temperature, density), computing Julian dates or decimal years, transforming between coordinate frames (ECEF, ECI, LLA, flat Earth, geodetic/geocentric, NED, body, wind, stability), or working with rotation representations (Euler angles, DCM, quaternion, Rodrigues vector). Also use when the user asks about aerospace coordinate systems, reference frames, or rotation conventions. license: https://www.mathworks.com/content/dam/mathworks/license/pmrl/license.md metadata: author: MathWorks version: "1.2"

Aerospace Fundamentals

Core Aerospace Toolbox functions for unit conversions, time conversions, coordinate transformations, and rotation representations.

When to Use

  • Converting between aerospace unit systems (SI, imperial, nautical)
  • Computing Julian dates, modified Julian dates, decimal years, or TDB time
  • Transforming positions between ECEF, ECI, LLA, or flat Earth frames
  • Converting between geodetic and geocentric latitude
  • Building DCMs for frame transformations (ECI↔ECEF, ECEF↔NED, body↔wind, body↔stability)
  • Converting between Euler angles, DCMs, quaternions, and Rodrigues vectors
  • Using the quaternion object for rotation math, interpolation, or composition
  • Identifying which coordinate frame data is expressed in

When NOT to Use

  • Atmosphere models (atmosisa, atmoscoesa) — use matlab-compute-aerospace-environment
  • Airspeed corrections (correctairspeed) — not covered here
  • Orbit propagation or satellite maneuvers — use Aerospace Toolbox, Aerospace Blockset or Satellite Communications Toolbox
  • Navigation-specific transforms (lla2enu, lla2ned) — use Navigation Toolbox
  • Simulink blocks — use /model-based-design-core:building-simulink-models with Aerospace Blockset

Workflow

  1. Identify the coordinate frame — Determine what frame your data is in and what frame you need. See references/coordinate-systems.md for frame definitions and decision guide.
  2. Convert units first — Ensure inputs match the function's expected units before calling transforms.
  3. Apply the transformation — Use the appropriate function with correct argument ordering.
  4. Verify — Round-trip the result back to the original frame; error should be < 1e-10.

Key Functions

Unit Conversions

| Function | Converts | Units | |----------|----------|-------| | convlength | Length | 'ft', 'm', 'km', 'in', 'mi', 'naut mi' | | convvel | Velocity | 'ft/s', 'm/s', 'km/s', 'in/s', 'km/h', 'mph', 'kts', 'ft/min' | | convang | Angle | 'deg', 'rad', 'rev' | | convacc | Acceleration | 'ft/s^2', 'm/s^2', 'km/s^2', 'in/s^2', 'km/h-s', 'mph/s', 'G''s' | | convangacc | Angular acceleration | 'deg/s^2', 'rad/s^2', 'rpm/s' | | convangvel | Angular velocity | 'deg/s', 'rad/s', 'rpm' | | convforce | Force | 'N', 'lbf' | | convmass | Mass | 'kg', 'lbm', 'slug' | | convpres | Pressure | 'Pa', 'psi', 'psf', 'atm' | | convtemp | Temperature | 'K', 'R', 'F', 'C' | | convdensity | Density | 'kg/m^3', 'slug/ft^3', 'lbm/ft^3', 'lbm/in^3' |

All conversion functions use the same signature: output = convXXX(value, fromUnit, toUnit)

Time Conversions

| Function | Purpose | Since | |----------|---------|-------| | juliandate | Calendar → Julian Date | R2006b | | mjuliandate | Calendar → Modified Julian Date (JD − 2400000.5) | R2006b | | decyear | Calendar → decimal year | R2006b | | leapyear | Test if year is leap year | R2006b | | tdbjuliandate | Terrestrial Time → TDB Julian Date | R2015a |

Coordinate Transformations

| Function | From | To | Since | |----------|------|-----|-------| | lla2ecef | LLA (geodetic) | ECEF | R2006b | | ecef2lla | ECEF | LLA (geodetic) | R2006b | | lla2eci | LLA | ECI | R2014a | | eci2lla | ECI | LLA | R2014a | | ecef2eci | ECEF (pos/vel/acc) | ECI | R2019a | | eci2ecef | ECI (pos/vel/acc) | ECEF | R2019a | | eci2aer | ECI | AER (azimuth, elevation, range) | R2015a | | lla2flat | LLA | Flat Earth | R2011a | | flat2lla | Flat Earth | LLA | R2011a | | geod2geoc | Geodetic latitude | Geocentric latitude | R2006b | | geoc2geod | Geocentric latitude | Geodetic latitude | R2006b | | ijk2keplerian | ECI position/velocity | Keplerian elements | R2019a | | keplerian2ijk | Keplerian elements | ECI position/velocity | R2019a | | siderealTime | UTC Julian date | GMST (deg) / GAST (s) | R2021a | | dcmeci2ecef | — | ECI-to-ECEF DCM | R2013b | | dcmecef2ned | — | ECEF-to-NED DCM | R2006b | | dcm2latlon | ECEF-to-NED DCM | Lat/Lon | R2006b | | dcmbody2wind | Alpha, Beta | Body-to-Wind DCM | R2006b | | dcm2alphabeta | Body-to-Wind DCM | Alpha, Beta | R2006b | | dcmbody2stability | Alpha | Body-to-Stability DCM | R2022a |

Rotation Representations

| Function | From | To | Since | |----------|------|-----|-------| | angle2dcm | Euler angles | DCM | R2006b | | dcm2angle | DCM | Euler angles | R2006b | | angle2quat | Euler angles | Quaternion (1×4) | R2006b | | quat2angle | Quaternion (1×4) | Euler angles | R2007b | | dcm2quat | DCM | Quaternion (1×4) | R2006b | | quat2dcm | Quaternion (1×4) | DCM | R2006b | | angle2rod | Euler angles | Rodrigues vector | R2017a | | rod2angle | Rodrigues vector | Euler angles | R2017a | | dcm2rod | DCM | Rodrigues vector | R2017a | | rod2dcm | Rodrigues vector | DCM | R2017a | | quat2rod | Quaternion (1×4) | Rodrigues vector | R2017a | | rod2quat | Rodrigues vector | Quaternion (1×4) | R2017a |

Quaternion Object

| Method | Purpose | |--------|---------| | quaternion(E,'eulerd',RS,PF) | Create from Euler angles (degrees) | | quaternion(E,'euler',RS,PF) | Create from Euler angles (radians) | | quaternion(RM,'rotmat',PF) | Create from rotation matrix | | quaternion(RV,'rotvec') | Create from rotation vector (radians) | | compact(q) | Extract [w x y z] array | | eulerd(q,RS,PF) | Convert to Euler angles (degrees) | | euler(q,RS,PF) | Convert to Euler angles (radians) | | rotmat(q,PF) | Convert to rotation matrix | | rotvec(q) / rotvecd(q) | Convert to rotation vector (rad/deg) | | rotatepoint(q,pts) | Rotate points (active rotation) | | rotateframe(q,pts) | Rotate frame (passive rotation) | | normalize(q) | Normalize to unit quaternion | | slerp(q1,q2,t) | Spherical linear interpolation | | meanrot(q) | Mean rotation of array | | dist(q1,q2) | Angular distance (radians) | | angvel(q,dt,PF) | Angular velocity from quaternion array | | randrot(n) | Uniform random rotations |

Quaternion Math (Array-Based)

| Function | Purpose | Since | |----------|---------|-------| | quatmultiply(q,r) | Quaternion product (compose rotations) | R2006b | | quatconj(q) | Conjugate (negate vector part) | R2006b | | quatinv(q) | Inverse (conjugate / norm²) | R2006b | | quatnormalize(q) | Normalize to unit quaternion | R2006b | | quatnorm(q) | Squared norm (q·q) | R2006b | | quatmod(q) | Modulus (sqrt of norm) | R2006b | | quatrotate(q,v) | Rotate vector by quaternion | R2006b | | quatdivide(q,r) | Divide quaternion by quaternion | R2006b | | quatinterp(p,q,f,method) | Interpolate ('slerp', 'lerp', 'nlerp') | R2016a | | quatexp(q) | Exponential of quaternion | R2016a | | quatlog(q) | Natural logarithm of quaternion | R2016a | | quatpower(q,pow) | Quaternion raised to a power | R2016a |

Patterns

Unit Conversion

% Always: convXXX(value, 'from', 'to')
alt_m = convlength(35000, 'ft', 'm');        % 10668.0 m
speed_ms = convvel(250, 'kts', 'm/s');       % 128.61 m/s
angle_rad = convang(45, 'deg', 'rad');       % 0.7854 rad
accel_g = convacc(9.81, 'm/s^2', 'G''s');   % 1.0 G
omega_rpm = convangvel(360, 'deg/s', 'rpm'); % 60 rpm

Time Conversion

% Julian Date from components (year, month, day, hour, min, sec)
jd = juliandate(2024, 6, 15, 12, 0, 0);     % 2460477.0

% Modified Julian Date
mjd = mjuliandate(2024, 6, 15, 12, 0, 0);   % 60476.5

% From datetime objects
dt = datetime(2024, 6, 15, 12, 0, 0);
jd = juliandate(dt);

% Decimal year
dy = decyear(2024, 6, 15);                   % 2024.4536

% TDB Julian Date from Terrestrial Time [yr mo day hr min sec]
tt = [2024 6 15 12 0 0];
jdTDB = tdbjuliandate(tt);

LLA ↔ ECEF

% LLA is [latitude_deg, longitude_deg, altitude_m]
lla = [40, -74, 0];
ecef = lla2ecef(lla);           % [1348613.0, -4703172.4, 4077985.6] m

% Round-trip verification
lla_check = ecef2lla(ecef);     % [40.0, -74.0, 0.0]

LLA ↔ ECI (time-dependent)

% ECI transforms require UTC time
lla = [40, -74, 1000];
utc = [2024 6 15 12 0 0];
posECI = lla2eci(lla, utc);

% Back to LLA
lla_check = eci2lla(posECI, utc);

Keplerian Elements ↔ ECI (IJK)

% Convert ECI position/velocity to Keplerian orbital elements
rijk = [-2981784; 5207055; 3161595];   % ECI position (m), 3x1
vijk = [-3384; -4887; 4843];           % ECI velocity (m/s), 3x1
[a, ecc, incl, RAAN, argp, nu] = ijk2keplerian(rijk, vijk);
% a=m, angles in degrees

% Convert Keplerian elements back to ECI position/velocity
[rijk_back, vijk_back] = keplerian2ijk(a, ecc, incl, RAAN, argp, nu);

% For a different central body (e.g., Mars)
[a_mars, ecc_mars, incl_mars, RAAN_mars, argp_mars, nu_mars] = ...
    ijk2keplerian(rijk, vijk, CentralBody="Mars");

Sidereal Time

% Compute Greenwich Mean Sidereal Time (GMST) and Apparent (GAST)
utcJD = juliandate(2019, 1, 4, 12, 0, 0);  % UTC as Julian date
dUT1 = 0;    % UT1-UTC offset (seconds)
dAT  = 37;   % TAI-UTC offset (leap seconds)
[thGMST, thGAST] = siderealTime(utcJD, dUT1, dAT);
% thGMST in degrees, thGAST in seconds

Flat Earth Approximation

% Good for short-range simulations (< ~100 km from reference)
llo = [40, -74];    % reference lat/lon (deg)
psio = 0;           % angular direction of flat Earth x-axis (rad, 0=North)
href = 0;           % reference height (m)

lla_point = [40.01, -73.99, 100];
flatPos = lla2flat(lla_point, llo, psio, href);  % [x, y, z] in meters
lla_back = flat2lla(flatPos, llo, psio, href);

Euler Angles ↔ DCM

% CRITICAL: angle2dcm expects RADIANS, not degrees
yaw = deg2rad(30); pitch = deg2rad(10); roll = deg2rad(5);
dcm = angle2dcm(yaw, pitch, roll, 'ZYX');

% Extract angles back (returns radians)
[y, p, r] = dcm2angle(dcm, 'ZYX');
fprintf('Yaw=%.1f, Pitch=%.1f, Roll=%.1f deg\n', rad2deg(y), rad2deg(p), rad2deg(r));

DCM ↔ Quaternion (Aerospace Toolbox format)

% Aerospace Toolbox quaternion format: [q0 q1 q2 q3] = [scalar, vector]
q = dcm2quat(dcm);       % 1x4, scalar-first
dcm_back = quat2dcm(q);  % 3x3

% Verify orthogonality
err = max(abs(dcm' * dcm - eye(3)), [], 'all');
assert(err < 1e-14, 'DCM is not orthogonal');

Quaternion Object (Modern Approach)

% Create from Euler angles — specify sequence AND frame type
q = quaternion([30 10 5], 'eulerd', 'ZYX', 'frame');

% Rotate a point (active rotation)
pt = [1 0 0];
pt_rotated = rotatepoint(q, pt);   % [0.8529, 0.4924, -0.1736]

% Compose rotations by multiplication
q_total = q2 * q1;  % applies q1 first, then q2

% Always normalize after arithmetic accumulation
q = normalize(q);

Quaternion Interpolation (SLERP)

% Smooth interpolation between two orientations
q1 = quaternion([0 0 0], 'eulerd', 'ZYX', 'frame');
q2 = quaternion([90 0 0], 'eulerd', 'ZYX', 'frame');
t = linspace(0, 1, 5)';
q_interp = slerp(q1, q2, t);

% Verify: yaw progresses linearly for pure yaw rotation
e = eulerd(q_interp, 'ZYX', 'frame');
% e(:,1) = [0, 22.5, 45, 67.5, 90]

Quaternion Ma

Truncated for display — read the full file on GitHub.

Related Skills

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GitHub Stars1.1k
CategoryDevelopment
Updated18d ago
Forks134

Languages

MATLAB

Trust signals

88/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

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