Quadrotor attitude dynamics (6-state)

ADVANTAGES1 · dim 6

SolvSRK wins. At the comparison noise level, SolvSRK beats the best baseline by at least 10 percentage points of survival, or by at least 0.05 balanced score when survival is tied. Use SolvSRK for this class of problem. All verdicts →

The attitude and body-rate subsystem of a quadrotor. Included as a representative control/robotics system: SolvSRK leads clean precision and survives noise where SciPy fails.

Drone dynamics & autonomy

Problem definition

Canonical benchmark implementation

Canonical RHS excerpt from the registered callable used for this benchmark cell. Expand it to verify the state equations; it is not a standalone runnable fixture.

Show canonical RHS excerpt
def _attitude_rhs(t, y):
    phi, theta, _, p, q, r = y
    cp, sp_ = np.cos(phi), np.sin(phi)
    th_c = np.clip(theta, -1.39, 1.39)
    tan_th = np.tan(th_c)
    ct_c = np.cos(th_c)
    sec_th = 1. / ct_c if abs(ct_c) > 1e-12 else 1e12 * np.sign(ct_c)
    d = np.empty(6)
    d[0] = p + q * sp_ * tan_th + r * cp * tan_th
    d[1] = q * cp - r * sp_
    d[2] = (q * sp_ + r * cp) * sec_th
    d[3] = ((_CFG.iyy - _CFG.izz) * q * r) / _CFG.ixx
    d[4] = ((_CFG.izz - _CFG.ixx) * p * r) / _CFG.iyy
    d[5] = ((_CFG.ixx - _CFG.iyy) * p * q) / _CFG.izz
    return d
Parameters
  • No captured parameters; constants are explicit in the RHS excerpt.
Initial condition
y(0) = [0.3, 0.1, 0, 5, -2, 1]
Horizon
t ∈ [0, 30]

Canonical RHS excerpt captured from the same registered callable used for the published benchmark. Frozen closure values are summarized below; helper imports and solver settings are intentionally omitted.

Fingerprint

Spread: moderate

Default noise: clean

Recommendation snapshot

Clean best: SolvSRK

Noisy best: SolvSRK

Coverage

14 solver arms · clean + 5 noise levels

Ranked on survival, precision, and speed

Versions & freeze

Methodology →
Freeze
2026-08-13
libsolvsrk
2.3.0
SciPy
1.14
SUNDIALS
CVODE (bundled backend)

20 seeds/cell default · 14 arms · TRL 4–5 · simulation-lab validated · this page: Quadrotor attitude dynamics (6-state) (quadrotor_attitude_6)

Governed SolvTune benchmark freeze; per-arm medians only. RHS definitions and raw trial rows are not published.

Self-reported by Resonix Labs · not independently verified

Results matrix

Pick an objective and a noise level to rank all arms on survival, median SCD, median nfev, and median wall time. Medians across seeds.

Objective

Best overall trade-off of survival, precision, and speed.

Noise level

#SolverSurvivalSCDnfevWallScore
1SolvSRK
100%
8.525,629136 ms0.822
2SciPy RadauSciPy
100%
7.737,212823 ms0.802
3SciPy DOP853SciPy
100%
7.09,14689 ms0.787
4SciPy LSODASciPy
100%
6.86,82453 ms0.781
5Vern7external
100%
6.79,9623.76 s0.779
6SciPy RK23SciPy
100%
6.641,054497 ms0.776
7SciPy RK45SciPy
100%
6.58,36687 ms0.775
8FBDFexternal
100%
6.510,2034.82 s0.774
9Vern9external
100%
5.811,9063.88 s0.758
10Tsit5external
100%
5.89,1501.41 s0.758
11CVODE Adamsexternal
100%
5.54,97060 ms0.750
12SciPy BDFSciPy
100%
5.414,383473 ms0.748
13CVODE BDFexternal
100%
5.36,39775 ms0.746
14TRBDF2external
100%
4.230,5055.27 s0.719

At Clean, best balanced arm is SolvSRK.

Values are medians across seeds, measured by Resonix Labs on Resonix hardware and not independently verified; nfev and wall are on reference lab hardware (indicative). Under injected noise only SolvSRK and the SciPy arms are run. How we measure accuracy → · Verification status →

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Cite this page

Replace the access date. Pin the freeze ID and library versions when comparing against a later export. Cite it as what it is — a self-reported vendor benchmark, not an independently verified result. The note field says so; please keep it.

@misc{resonix_evidence_quadrotor_attitude_6_2026,
  title        = {Resonix Evidence Portal: Quadrotor attitude dynamics (6-state)},
  author       = {{Resonix Labs (Canada) Inc.}},
  year         = {2026},
  howpublished = {\url{https://resonix.tech/evidence/problems/quadrotor_attitude_6}},
  note         = {Self-reported vendor benchmark; internally generated by Resonix Labs and not independently verified. Accessed YYYY-MM-DD. Freeze 2026-08-13; libsolvsrk 2.3.0; SciPy 1.14.}
}

Related

TRL 4–5 · simulation-lab validated · 398 problems · 14 solver arms · clean + 5 noise levels

Freeze: 2026-08-13 · scipy 1.14 · libsolvsrk 2.3.0 · Methodology

Self-reported by Resonix Labs · not independently verified · Verification status