Quadcopter_SimCon | Quadcopter Simulation and Control Dynamics generated with PyDy

by bobzwik Python Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | Quadcopter_SimCon Summary

Quadcopter_SimCon is a Python library typically used in Simulation applications. Quadcopter_SimCon has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However Quadcopter_SimCon build file is not available. You can download it from GitHub.

Quadcopter Simulation and Control. Dynamics generated with PyDy.

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Quadcopter_SimCon has a low active ecosystem.

It has 111 star(s) with 39 fork(s). There are 5 watchers for this library.

It had no major release in the last 6 months.

There are 3 open issues and 1 have been closed. On average issues are closed in 1 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Quadcopter_SimCon is current.

Quality

Quadcopter_SimCon has 0 bugs and 0 code smells.

Security

Quadcopter_SimCon has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

Quadcopter_SimCon code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

Quadcopter_SimCon is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

Quadcopter_SimCon releases are not available. You will need to build from source code and install.

Quadcopter_SimCon has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions are available. Examples and code snippets are not available.

Quadcopter_SimCon saves you 1442 person hours of effort in developing the same functionality from scratch.

It has 3221 lines of code, 58 functions and 31 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed Quadcopter_SimCon and discovered the below as its top functions. This is intended to give you an instant insight into Quadcopter_SimCon implemented functionality, and help decide if they suit your requirements.

Simulate a quadratic quadratic model
Set the forces and torques
Extend the current state of the quaternion
Update the state of the motor
Set the desired state of the camera
Set the desired state of the actor
Generate a polynomial polynomial
Test the velocities
Returns the z position of the XYZ position
Initialize the controller
Set the rate control
Saturate velocity
Compute the attitude control
Return a dictionary with parameters for the system
Make a mixer for a given parameters
Calculate state vector
Generate a random wind
Convert a Quaternion to YPR
Compute 3 - axis rotation matrix
Construct a constraint that minimizes a trajectory stop
Computes the minimum step for a fast stopstop
Constructs a minimal path to a set of ways

Get all kandi verified functions for this library.

Quadcopter_SimCon Key Features

No Key Features are available at this moment for Quadcopter_SimCon.

Quadcopter_SimCon Examples and Code Snippets

No Code Snippets are available at this moment for Quadcopter_SimCon.

Community Discussions

Trending Discussions on Quadcopter_SimCon

Using numba to accelerate odeint, issues when trying to pass a dictionary and custom object

QUESTION

Using numba to accelerate odeint, issues when trying to pass a dictionary and custom object

Asked 2019-Aug-06 at 13:23

I am working on a personal project, to code a quadcopter simulation (and control) in Python, as a learning project. I am using the scipy integrator odeint and I am quite disappointing in the long computing time. So I wish to use numba to accelerate my integration. I call odeint every timestep, as I have to create commands after each simulated timestep.

At first, I had issues when my function to integrate (state_dot) was a method of the Quadcopter class. So I made it a separate function, but I am now having problems defining the right types when I decorate my function with @jit. The state_dot function has a dictionary (params) as an input argument (I've read that numba supports dictionaries), but also was a custom class (wind), because my wind model is a method of that class. If I exclude the wind for now, using numba.typed.Dict doesn't seem to work to import the dictionary.

To import the wind object in the function, I've seen the numba type object_ being used, but Python doesn't find a object_ in numba.

I am using numba version 0.45.0, and Python 3.7.

...

ANSWER

Answered 2019-Aug-06 at 13:23

The first thing I notice is that — at least in the code you've shown here — your jit signature has four types, but the function you're decorating has five arguments:

Source https://stackoverflow.com/questions/57277271

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install Quadcopter_SimCon

To be able to run the PyDy scripts of this project, you need to first install PyDy and its dependancies.

Support

PX4 "Position and Velocity Control" Source CodePX4 "Desired Thrust to Desired Attitude" Source CodePX4 "Attitude Control" Source Code --- ArticlePX4 "Rate Control" Source CodeMinimum Snap Trajectory --- Article

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