---
name: control-law-design-074ab6713f37
description: Expert skill for flight control law development and tuning
allowed-tools:
  - Read
  - Write
  - Glob
  - Grep
  - Edit
  - WebFetch
  - WebSearch
  - Bash
metadata:
  version: "1.0"
  category: aerospace-engineering
  tags:
    - flight-dynamics
    - control-systems
    - autopilot
    - stability
graph:
  domains: [domain:aerospace-engineering]
  specializations: [specialization:aerospace-engineering]
  skillAreas: [skill-area:physics-simulation, skill-area:mathematical-reasoning, skill-area:sensor-fusion]
  roles: [role:research-engineer, role:systems-integration-engineer]
---

# Flight Control Law Design Skill

## Purpose
Enable expert flight control law development including classical and modern control design methods, stability analysis, and robustness verification.

## Capabilities
- MATLAB/Simulink control law implementation
- Classical control design (PID, lead-lag)
- Modern control methods (LQR, H-infinity)
- Gain scheduling implementation
- Stability margin analysis
- Robustness analysis
- Nonlinear simulation
- Pilot-in-the-loop simulation support

## Usage Guidelines
- Define clear control objectives and performance requirements
- Ensure adequate stability margins across the flight envelope
- Consider actuator dynamics and rate limits in design
- Verify robustness to modeling uncertainties and variations
- Test control laws with representative pilot inputs
- Document gain schedules and implementation details

## Dependencies
- MATLAB/Simulink
- Control System Toolbox
- Robust Control Toolbox

## Process Integration
- AE-011: Flight Control Law Development
- AE-012: Handling Qualities Assessment


---
Source attribution: a5c-ai
Original project: https://github.com/a5c-ai/babysitter
License: MIT
License information: https://opensource.org/license/mit
Original upstream instructions; downloaded from Mega AI Hub.

## Upstream license notice

MIT License

Copyright (c) 2026 Gabriel Moreira

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.



# Mega AI Hub resource metadata

Creator / publisher: a5c-ai
Original project: https://github.com/a5c-ai/babysitter
Attribution basis: Upstream repository explicitly recorded in package mirror path

Fields of work: Data & Analytics
Roles: Data Scientist
Specialties: Specialty not specified
Tools: Matlab, Simulink
Country applicability: Country not specified
Classification basis: Source catalog labels
Instruction SHA-256: bb5d713b72d3925fad575f82d4aa5ff012147373fa7ccc41518ff86783656c93