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Jul 24, 2013 The video demonstrates the features of PIDAT function block - PID controller with relay autotuner. The tuning algorithm is based on adaptive relay experiment which identifies frequency response. Systems, with low interference in the production process. This is auto-tuning the distance of a button in the SCADA (Supervisory Control and Data Acquisition) system. Keywords: Auto-tuning, Automation, PID, Relay Method. 1) INTRODUCTION There is an increasing interest of auto-tuning solutions, since any innovation in the PID controller.
How PID Autotuning Works
To use PID autotuning, configure and deploy one of the PID autotuner blocks, Closed-Loop PID Autotuner or Open-Loop PID Autotuner.
Autotuning Process
The PID autotuner blocks work by performing a frequency-response estimation experiment. The blocks inject test signals into your plant and tune PID gains based on an estimated frequency response.
The following schematic diagram illustrates generally how a PID autotuner block fits into a control system.
Until the autotuning process begins, the autotuner block relays the control signal directly from u to the plant input at u+Δu. In that state, the module has no effect on the performance of your system.
When the autotuning process begins, the block injects a test signal at
u out to collect plant input-output data and estimate frequency response in real time.
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When the experiment ends, the block uses the estimated frequency response to compute PID gains. The tuning algorithm aims to balance performance and robustness while achieving the control bandwidth and phase margin that you specify. You can configure logic to transfer the tuned gains from the block to your PID controller, allowing you to validate closed-loop performance in real time.
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Workflow for PID Autotuning
The following steps provide a general overview of the workflow for PID autotuning.
Relay Auto Tuning Pid 2
For detailed information on performing each of these steps, see:
See AlsoPid Tuning Methods
Closed-Loop PID Autotuner | Open-Loop PID Autotuner
Related Topics
PID autotuning lets you tune a PID controller without a parametric plant model or an initial controller design. Deploy the algorithm to tune a controller in real time for a physical plant.
To use PID autotuning, configure and deploy a PID autotuner block. The block injects test signals into your plant and tunes PID gains based on an estimated frequency response.
Use the PID autotuning algorithm to tune against a plant modeled in Simulink while the model is running.
Deploy the PID autotuning algorithm as a standalone application for real-time tuning against your physical system.
Run the PID algorithm against your physical plant while controlling the tuning process in Simulink.
Tune a single-loop PID controller in real time by injecting sinusoidal perturbation signals at the plant input and measuring the plant output during an closed-loop experiment.
Tune a single-loop PID controller in real time by injecting sinusoidal perturbation signals at the plant input and measuring the plant output during an open-loop experiment.
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