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Entry  Thu Apr 11 17:30:45 2019, Jon, Update, SUS, Automated suspension testing with susPython 
    Reply  Mon Apr 15 18:13:23 2019, rana, Update, Computer Scripts / Programs, Automated suspension testing with susPython 
       Reply  Sun Apr 28 16:00:17 2019, gautam, Update, Computer Scripts / Programs, List of suspension test 
Message ID: 14539     Entry time: Thu Apr 11 17:30:45 2019     Reply to this: 14542
Author: Jon 
Type: Update 
Category: SUS 
Subject: Automated suspension testing with susPython 


In anticipation of needing to test hundreds of suspension signals after the c1susaux upgrade, I've started developing a Python package to automate these tests: susPython


The core of this package is not any particular test, but a general framework within which any scripted test can be "nested." Built into this framework is extensive signal trapping and exception handling, allowing actuation tests to be performed safely. Namely it protects against crashes of the test scripts that would otherwise leave the suspensions in an arbitrary state (e.g., might destroy alignment).


The package is designed to be used as a standalone from the command line. From within the root directory, it is executed with a single positional argument specifying the suspension to test:

$ python -m suspython ITMY

Currently the package requires Python 2 due to its dependence on the cdsutils package, which does not yet exist for Python 3.

Scripted Tests

So far I've implemented a cross-consistency test between the DC-bias outputs to the coils and the shadow sensor readbacks. The suspension is actuated in pitch, then in yaw, and the changes in PDMon signals are measured. The expected sign of the change in each coil's PDMon is inferred from the output filter matrix coefficients. I believe this test is sensitive to two types of signal-routing errors: no change in PDMon response (actuator is not connected), incorrect sign in either pitch or yaw response, or in both (two actuators are cross-wired).

The next test I plan to implement is a test of the slow system using the fast system. My idea is to inject a 3-8 Hz excitation into the coil output filter modules (either bandlimited noise or a sine wave), with all coil outputs initially disabled. One coil at a time will be enabled and the change in all VMon signals monitored, to verify the correct coil readback senses the excitation. In this way, a signal injected from the independent and unchanged fast system provides an absolute reference for the slow system.

I'm also aware of ideas for more advanced tests, which go beyond testing the basic signal routing. These too can be added over time within the susPython framework.

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