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Automation and Control Systems
A control system manages the behaviour of a process or machine so that an output quantity, such as temperature, speed, position or pressure, follows a desired value. The central idea in automatic control is feedback: the actual output is measured, compared with the target, and the resulting error is used to adjust the input. This closed loop allows the system to correct for disturbances and changing conditions without continuous human intervention, which is the basis of industrial automation.
The dynamic behaviour of a control loop is studied with tools from systems theory. The transient response describes how the output settles after a change in command, characterised by features such as rise time, overshoot and settling time, and many practical loops are approximated as second-order systems. Frequency-domain analysis uses the Bode diagram, which plots gain and phase against frequency to assess stability margins and bandwidth. In process plants, measured signals are often transmitted as a standard current loop, which resists noise and voltage drop over long cable runs.
The most common feedback controller is the PID controller, which combines proportional, integral and derivative actions. The proportional term responds to the present error, the integral term eliminates steady-state error by accumulating past error, and the derivative term anticipates future error from its rate of change. Tuning these three contributions is essential to good performance; the Ziegler–Nichols method is a classic empirical procedure for setting them. PID control is applied everywhere from temperature regulation to motion and process control.
Frequently asked questions
- What is feedback in a control system?
- Feedback is the measurement of a system's output and its comparison with the target value, so the difference (the error) can be used to drive the system back toward the desired state.
- What does a Bode diagram show?
- A Bode diagram plots a system's gain and phase shift against frequency. It is used to judge stability margins and bandwidth in frequency-domain control design.
- What do the three terms of a PID controller do?
- The proportional term reacts to the current error, the integral term removes lingering steady-state error, and the derivative term reacts to how fast the error is changing.
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Automation and Control systems
related subjects: Bus systems,
Hydraulics,
Motor speed
control, Pneumatics,
Power control,
Sensors |
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Automation and Control
Modeling and Simulation, Modeling of Semiconductors, System Control, Nonlinear
Control Systems |
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Automatique en Français |
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Automatique
to explore the main concepts of the control field by the study of continuous
time systems |
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Automatique linéaire en Français |
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BASIC INSTRUMENTATION
MEASURING DEVICES AND BASIC PID CONTROL Pressure, Flow, Level, Temperature,
Neutron Flux, Control |
| Bode
servo analysis a Java applet for control systems. Drag open-loop
corner frequencies with the mouse to improve tracking performance and reject
sensor noise in a unity-feedback system |
| Bode
servo analysis (time delay) Java applet |
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Control systems |
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Control systems
control of temperature, flow and filling level, PI controller, PD controller,
PID controller, open-loop and closed-loop control, Pt100 temperature sensors, pdf file |
| Control tutorials matlab
PID, frequency respons, digital control, motor speed, ... |
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Correcteurs proportionnel intégral et proportionnel dérivé en Français |
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Current loop
application note pdf file |
| Current loop 4-20mA
current loop primer, pdf file |
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Current loop
Current loop, The main components of a current loop
include a DC power supply, transducer, a data acquisition device, and wires
connecting them together in a series |
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DC motor speed control Motor speed should be independent of load. PWM
circuit, H-Bridge motor driver circuit, Open loop control systems, Closed loop
control systems, PID Closed loop control system, proportional coefficient Kp,
Integral coefficient Ki, Derivative coefficient Kd, pdf file |
| Feedback Systems |
| Regeltechniek
analoge regeltechniek, niet-lineaire regeltechniek, in Dutch |
| Regeltechniek
eerste en tweede orde systemen, PI regelaar, ... , in Dutch |
| Sense and sensitivities
illustrates the utility of the sensitivity and complementary sensitivity
functions for linear control system design,
Java applet |
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Sensor Pictures |
| Signals
systems control discrete-time signals on the screen, Fourier series, continuous-time phasors, rotating vectors, discrete - time Fourier
series, signal sampling at various sampling frequencies, and signal reconstruction from samples using various low-pass filter cutoff frequencies,
Java applet for control systems |
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Temperature control Control Loops Explained, temperatur control, ON/OFF Control Action, Proportional
(P) Control action, Integral I or Reset Control Action, Derivative (D) or Rate
Control Action, PID Control Action, Temperature Sensors, Thermocouple,
Resistance Thermosensors, Thermistor, pdf file |
| Terminology and symbols in
control engineering pdf file |
Fuzzy logic
related subjects: |
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FisPro (Fuzzy Inference System Professional) allows to create fuzzy
inference systems and to use them for reasoning purposes, especially for
simulating a physical or biological system, FisPro |
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Fuzzy logic pdf file |
| Fuzzy logic
Fussy is a paradigm for an alternative design methodology which can be applied
in developing both linear and non-linear systems for embedded control,
Educypedia |
| Fuzzy
logic controller design Fuzzy logic controller, pdf file |
| Fuzzy
Logic Control System |
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Fuzzy Sets and Operations
Fuzzy Rules & Fuzzy Control |
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fuzzyTECH This web
server comprises a complete repository for Fuzzy Logic applications. It contains
free simulation software, case studies, and product information |
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Maximum power point tracking using adaptive fuzzy logic control pdf file |
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Xfuzzy 3.0
Xfuzzy 3.0 is a development environment for fuzzy-inference-based systems |
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Last updated on:
2026-06-24
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