Software and Controls Acronyms and Definitions

Introduction

This document provides a description of the acronyms and definitions used in the description of the GMT Software and Controls

Acronyms

Abbreviated terms

Term	Definition
HW	Hardware
SW	Software
VO	Virtual Observatory
SWC	Software and Controls
EOL	End of Life
RMS	Root Mean Square
PDR	Preliminary Design Review
DRD	Document Requirement Definition
ICS	Interface Control Document
TCS	Telescope Control System
UDP	UDP
WCS	World Coordinate System
NIR	Near Infrared
AIT	Assembly, Integration and Testing
FAT	Factory Acceptance Testing
HPFS	High Performance File System

General Glossary

GMT Software and Controls Glossary and Definitions.

Table 1 Software and Controls General Glossary

Term	Definition
field elements	TBD
control computer	TBD
plant	TBD
I/O module	TBD
Operation console	TBD
Data reduction pipeline	TBD
Data analysis pipeline	TBD
Data reduction recipe	TBD
Data reduction filter	TBD
Observing program	TBD
Observing sequence	TBD

Control Engineering Glossary

GMT Software and Controls Control Engineering Glossary and Definitions. Based on ECSS-E-60A

Table 2 Control engineering Glossary

Term	Definition
control loop	mechanism to maintain a parameter, or set of parameters, within defined limits
device command	Command that is executed by device hardware
actuator	mechanical system or device which converts commands from the controller into physical effects on the controlled plant
autonomy	capability of a system to perform its functions in the absence of certain resources
control	function of the controller to derive control commands to match the current or future estimated state with the desired state
control command	output of the controller to the actuator and the sensors (in case of sensors with command interfaces)
control component	element of the control system which is used in part or in total to achieve the control objectives
control feedback	input to the controller from the sensors and the actuators (in case of actuators with status feedback)
control function	group of related control actions (or activities) contributing to achieving some of the control objectives. A control function describes what the controller does, usually by specifying the necessary inputs, boundary conditions and expected outputs
control mode	temporary operational configuration of the control system implemented through a unique set of sensors, actuators and controller algorithms acting upon a given plant configuration
control mode transition	passage or change from one control mode to another
control performance	quantified capabilities of a controlled system
control system	part of a controlled system which is designed to give the controlled plant the specified control objectives. This includes all relevant functions of controllers: sensors and actuators
control objective	goal that the controlled system is supposed to achieve control objectives are issued as requests to the controller, to give the controlled plant a specified control performance despite the disturbing influences of the environment. Depending on the complexity of the control problem, control objectives can range from very low level commands to high level mission goals.
controllability	property of a given plant to be steered from a given state to any other given state
controlled plant	physical system, or one of its parts, which is the target of the control system. Synonymous of system under control. The control problem is to modify and shape the intrinsic behavior of the plant such that it yields the control performance despite its (uncontrolled other) interactions with its environment.
controlled system	control relevant part of a system to achieve the specified control objectives. This includes the control system and the controlled plant
controller	control component designed to give the controlled plant a specified control performance. The controller interacts with the controlled plant through sensors and actuators. In its most general form, a controller can include hardware, software, and human operations. Its implementation can be distributed over the space segment and the ground segment
disturbance	physical effect affecting the control performance that can act onto all components of the controlled system. ..note:: The source of the disturbance can be internal (if generated inside the controlled system) or external (if coming from the environment)
environment	set of external physical effects that interact with the controlled system note: The environment can act as disturbance on the plant but also on sensors, actuators and the controller
estimated state	set of variables or parameters describing the controller internal knowledge of the controlled system and environment
estimator	algorithm to determine the current or future state (estimated state) of a dynamic system from the measured state
guidance	function of the controller to define the current or future desired state
implementation	actual implementation of a specific function in terms of algorithms, hardware, software or human operations
mathematical model	mathematical description of the behaviour of the plant, a control system component or the environment note: This consists of algorithms, formulas and parameters
measured state	set of variables or parameters derived from physical measurements note: This is based on the control feedback or sensors and actuators
navigation	function of the controller to determine the current or future estimated state from the measured state
observability	property of a given controlled system that enables the complete state to be determined describing its dynamics. The observability is normally affected by number and location of sensors
quantization	process by which control system variables are converted into discrete finite units. This usually applies to sensor readings and control commands towards actuators, and in general, when an analogue-digital conversion is used.
reference state	set of variables or parameters describing the control objectives for a controlled system
robustness	property of a controlled system to achieve the control objectives in spite of uncertainties. The uncertainty can be divided into: (1) signal uncertainty, when disturbances acting on the controlled system are not fully known in advance, (2) model uncertainty, when the parameters of the controlled system are not well known. Robustness is achieved using suitable control algorithms that act against these disturbances or are insensitive to controlled system parameter variations (e.g. inertia, stiffness).
sensor	device that measures states of the controlled plant and provides them as feedback inputs to the controller
simulation model	implementation of a mathematical model in an environment to calculate the behaviour of the model
stability	property that defines the specified static and dynamic limits of a system A given dynamic system is not fully defined until the notion of stability is precisely mathematically defined according to its characteristics and specified behaviour
state	set of variables or parameters describing the dynamic behaviour of the controlled system at a given time. The state is also referred as state vector. The state can describe the true, reference, desired, measured or estimated behaviour
true state	set of variables or parameters defining the actual behaviour of the controlled system and environment. The true state is not known. In a simulation, the true state is the simulated state of the sensors, actuators, plant and environment excluding any measurement error of the sensors
fieldbus	TBD
field element	TBD
PAC	Process Automation Controller
DCC	Device Control Computer
PLC	Programmable Logic Controller
LLN	Low Latency Network
EtherCAT	EtherCAT
Device	TBD
Workflow	TBD
CoE	CAN over EtherCAT
SMF	SWC Modeling Framework
SDF	System Definition File

N-grams

Combinations of two (digrams), three (trigrams) or four (tetragrams) letters used in GMT descriptors

Term	Definition
cs	Control System
ui	User Interface
pi	Principal Investigator
db	Database
sw	Software
hw	Hardware
vo	VO
tt	Tip/Tilt
dd	Device Driver
dp	Data Processing
hp	Hardpoint
da	Data Archiving
qm	Quality Monitoring
ao	Adaptive Optics
m1	Primary Mirror
m2	Secondary Mirror
m3	Tertiary Mirror
ph	Phasing
pk	Pointing Kernel
ss	Spacecraft Safety System
as	Aircraft Safety System
ot	Observing Tools
ns	Natural Seeing (NS)
swc	Software and Controls
cam	Camera
acq	Acquisition
daq	Data Acquisition System
mec	Mechanism Control System ?
cal	Calibration
lgc	Logic
saf	Safety
dev	Device
srv	Service
tel	Telemetry
log	Logging
alm	Alarm
sup	Supervisor
dir	Director
pan	UI Panel
dep	Deployment
rpt	Report
prs	Presentation
pdr	Preliminary Design Review
doc	Document
icd	Interface Control Document
sys	System
sub	Subsystem
pkg	Package
wkf	Workflow
seq	Sequence
vis	Visualization
obs	Observatory/Observation
fwk	Framework
req	Requirement
prj	Project
eng	Engineering
sim	Simulator
ops	Operations
fat	FAT
tsk	Task
pps	Proposal
act	Actuator
bom	Bill Of Materials
wbs	Work Breakdown Structure
pbs	Product Breakdown Structure
wfs	Wavefront Sensor
ngs	Natural Guidestar
udp	UDP
nir	NIR
swt	Switch
wks	Workstation
dom	Domestic
int	International
ait	AIT
lic	Licenses
cli	Command Line Interface
iom	I/O Module
pac	Process Automation Controller
dcc	Device Control Computer (DCC)
mon	Monitoring
net	Network
azt	Azimuth
tcs	Telescope Control System
asm	Adaptive Secondary Mirror
enc	Environment
fac	Facilities
fcs	Facility Calibration System
fsm	Fast Steering Mirror
gir	Gregorian Instrument Rotator
iss	Interlock and Safety System
ocs	Observatory Control System
wfc	Wavefront Control
nav	Navigation
drv	Driver
wrp	Wrapper
dpc	Data Processing Computer
ltc	Laser Traffic Control System
aco	Active Optics (ACO)
env	Environment Monitoring
diag	Diagnostics
comm	Commissioning
mngt	Management
ecat	EtherCAT
desc	Description
repo	Repository
inst	Instrument
iter	Iteration
intg	Integration
temp	Temperature
proc	Process
arch	Architecture
prot	Prototype
dist	Distribution
conf	Configuration
comp	Component
pers	Persistence
elev	Elevation
mngr	Manager
agws	Acquisition Guiding and Wavefront System
cadc	Corrector and Atmospheric Dispersion
ecab	Electronic Cabinet
lgsa	Laser Guidestar Acquisition
lgss	Laser Guidestar Subsystem
ltao	Laser Tomography Adaptive Optics
lgws	LGAO Wavefront Sensor
ltws	LTAO Wavefront Sensor
m1es	M1 Edge Sensors
m2cs	M2 Calibration Stand Sensors
m2es	M2 Edge Sensors
ngws	Natural Guide Star Wavefront Sensor
oiwfs	On Instrument Wavefront Sensor
hpfs	High Performance File System
tele	Telemetry
mount	Mount
m2pos	M2 Positioner
nglao	Natural Guidestar Ground Layer Adaptive Optics
ngsao	Natural Guidestar Adaptive Optics
equip	Equipment
sched	Scheduler
wfcal	Wavefront Calibration
stats	Statistics
super	Supervisor
gclef	GCLEF
gmtifs	GMTIFS
lapack	LAPACK
comcam	Commissioning Camera
dev_plan	Subsystem Specification and Development Plan
domtravel	Domestic Travel
inttravel	International Travel
messagepack	MessagePack

Class N-grams

Combinations of two (digrams), three (trigrams) or four (tetragrams) letters used in GMT model element names. The are also used to infer a model element class in case a detailed element definition is provided.

Term	Definition
daq	Controller
pac	Host
dpc	Host
dcc	Host
wks	Host
iom	IOModuleDef
wrp	Component
seq	Sequence
wkf	Workflow
srv	Server
swt	NetworkSwitch
drv	Driver
dev	Device
sys	Subsystem
pkg	Package
rpt	Document
ecab	ECabinet
ctrl	Controller
comp	Component
plan	Plan
eng	Engineering
proc	Process
panel	Panel
pipeline	Pipeline
sp	Pipeline
inttravel	Travel
domtravel	Travel
shipping	Shipping
lic	License
cabling	Network
mngt	Management
app	Application
dcs	DCS
cat	Catalog
lib	Library
daq	Controller
eng	Engineering
pack	Host
dpc	Host
dcc	Host
wks	Host
iom	IOModule
cmp	Component
wrp	Component
seq	Sequence
wkf	Workflow
srv	Server
swt	NetworkSwitch
drv	Driver
dev	Device
sys	Subsystem
pkg	Package
rpt	Document
doc	Document
ecab	ECabinet
ctrl	Controller
comp	Component
plan	Plan
proc	Process
panel	Panel
cable	Cable
super	Supervisor
adapter	Adapter
pipeline	Pipeline
inttravel	Travel
domtravel	Travel
shipping	Shipping
lic	License
cabling	Network
mngt	Management