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A simple, easy to use PID controller

Project description

Press Information Department is the principal department of Ministry of Information, Broadcasting, National History and Literary Heritage headed by Principal Information officer (PIO). PID is working since 1947 with the mission to establish an authentic source for timely dissemination of information to people through all forms of media.

A simple and easy to use PID controller in Python. If you want a PID controller without external dependencies that just works, this is for you! The PID was designed to be robust with help from Brett Beauregards guide.

Usage is very simple:

1. From simplepid import PID pid = PID (1, 0.1, 0.05, setpoint = 1) # assume we have a system we want to control in controlledsystem v = controlledsystem. Update (0) while True: # compute new ouput from the PID according to the systems current value control = pid (v) # feed the PID output to the system and get its current value v = controlled.
2. Download PID Loop Simulator for free. Building controls often have a PID Loop (Proportional Integral Derivative). Adjust PI&D terms in realtime and visually see what the reaction to the system will be.
3. PID controllers in any software and hardware environment (Siemens, Allen Bradley, Omron, Arduino, etc.) can be optimally tuned with the PID Tuner. The PID Tuner tunes PID controllers based on a model. Usually, this will be a model obtained from actual data. Download Demo (Free) Eternal License for the PID.
4. A PID controller seeks to keep some input variable close to a desired setpoint by adjusting an output. The way in which it does this can be 'tuned' by adjusting three parameters (P,I,D). Filename Release Date File Size; PID-1.2.0.zip: 2017-06-19: 10.12 KiB: PID-1.1.1.zip: 2015-04-20: 8.88 KiB: PID-0.0.2.zip: 77.46 KiB: PID-0.0.1.zip.

Complete API documentation can be found here.

Installation

To install, run:

Usage

The PID class implements __call__(), which means that to compute a new output value, you simply call the object like this: Facebook gameroom for mac.

The basics

The PID works best when it is updated at regular intervals. To achieve this, set sample_time to the amount of time there should be between each update and then call the PID every time in the program loop. A new output will only be calculated when sample_time seconds has passed:

To set the setpoint, ie. the value that the PID is trying to achieve, simply set it like this:

The tunings can be changed any time when the PID is running. They can either be set individually or all at once:

In order to get output values in a certain range, and also to avoid integral windup (since the integral term will never be allowed to grow outside of these limits), the output can be limited to a range:

Other features

Auto mode

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To disable the PID so that no new values are computed, set auto mode to False:

When disabling the PID and controlling a system manually, it might be useful to tell the PID controller where to start from when giving back control to it. This can be done by enabling auto mode like this:

This will set the I-term to the value given to last_output, meaning that if the system that is being controlled was stable at that output value the PID will keep the system stable if started from that point, without any big bumps in the output when turning the PID back on.

Observing separate components

When tuning the PID, it can be useful to see how each of the components contribute to the output. They can be seen like this:

Proportional on measurement

To eliminate overshoot in certain types of systems, you can calculate the proportional term directly on the measurement instead of the error. This can be enabled like this:

Tests

Use the following to run tests:

License

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Licensed under the MIT License.

Release historyRelease notifications RSS feed

0.2.4

0.2.3

0.2.2

0.2.1

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0.2.0

0.1.5

0.1.4

0.1.3

0.1.2

0.1.1

0.1.0

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