PID Controller
PID Controller
With the Moku PID Controller, it’s easy to leverage up to four fully configurable PID controllers to simplify system feedback and stabilization. Deploy them in applications requiring both low and high feedback bandwidths, such as laser temperature and current stabilization. For maximum flexibility, you can also utilize the Moku PID Controller as a lead-lag compensator by saturating the integral and differential controllers with independent gain settings.
- Available on
- Moku:Pro >
- Moku:Lab >
- Moku:Go >
The Moku PID Controller is easy to use and offers a range of advanced capabilities to optimize your experiment — at the most cost-effective price in the industry.
Key benefits of the Moku PID Controller
With up to four independent channels, real-time gain configuration, and an advanced multi-section PID builder, you can expect more from the Moku PID Controller.
View system responses in real time with the Moku PID Controller
Quickly design your control system’s frequency response using the interactive Bode plot. With built-in Oscilloscope probe points for signal monitoring throughout the signal path, you can adjust parameters and view results simultaneously.
Try the software
Customize your system response with an advanced multi-section PID builder
The Moku PID Controller includes single or double integrators and differentiators with low- and high-frequency gain saturation. Configure proportional (P), integral (I), differential (D), double-integral (I+), integral saturation (IS), and differential saturation (DS) gain profiles.
Test smarter with a block diagram view of the DSP workflow
Enable up to four independent, fully real-time configurable PID controller paths with optional output voltage limits. For even more flexibility, you have the option to combine input signals with the control matrix.
Run multiple instruments simultaneously in Multi-instrument Mode
Four controllers isn’t enough? Get up to eight independent controllers by deploying multiple Moku PID Controllers in Multi-instrument Mode. Route connections to the analog inputs and outputs, or digitally connect instruments together for lossless instrument cabling.
Engineered to work seamlessly with your preferred APIs
API integration with Python, MATLAB, and LabVIEW allows straightforward automation of your Moku device in complex setups or for repetitive tasks. Save your measurements, screenshots, traces, and other settings locally or to your preferred cloud app. You can also send work to yourself or colleagues within the Moku app.
Engineered for demanding applications
Use the Moku PID Controller to accelerate development timelines with speed and flexibility unmatched by any other instrument in its class.
Feedback and control systems
Laser frequency stabilization
Pressure, force, flow rate, and other controls
Scan heads/sample stage positioning
Temperature regulation
Integrates seamlessly with your tech stack
Specifications and technical documents
The Moku PID Controller runs on Moku:Pro, Moku:Lab, and Moku:Go. Compare the specifications to choose the right device for your application.
Technical specifications
Channels
4
2
2
Output sampling rate
> 10 MSa/s
> 10 MSa/s
> 2.5 MSa/s
DAC resolution
16 bits
16 bits
12 bits
Phase lag
< 30˚ at 120 kHz
< 30˚ at 100 kHz
< 30˚ at 20 kHz
Integrator crossover frequency
3.125 Hz to 312.5 kHz
1.25 Hz to 125 kHz
12.5 mHz to 31.25 kHz
Differentiator crossover frequency
31.5 Hz to 31.25 MHz
12.5 Hz to 1.25 MHz
3.125 Hz to 312.5 kHz
Software & utilities
Windows, macOS, iPadOS, and visionOS apps
API support for Python, MATLAB, and LabVIEW
Windows, macOS, iPadOS, and visionOS apps
API support for Python, MATLAB, and LabVIEW
Windows, macOS, iPadOS, and visionOS apps
API support for Python, MATLAB, and LabVIEW
Documentation
Datasheets
User manuals
Specs
Moku:Pro
PID Controller
Technical specifications
Channels
4
Output sampling rate
> 10 MSa/s
DAC resolution
16 bits
Phase lag
< 30˚ at 120 kHz
Integrator crossover frequency
3.125 Hz to 312.5 kHz
Differentiator crossover frequency
31.5 Hz to 31.25 MHz
Software & utilities
iPadOS app
macOS app, Windows app
API support for Python, MATLAB, and LabVIEW
Documentation
Datasheets
User manuals
Specs
Moku:Lab
PID Controller
Technical specifications
Channels
2 inputs / 2 outputs
Output sampling rate
1 GSa/s
DAC resolution
16 bits
Phase lag
± 1 V
Integrator crossover frequency
65,536
Software & utilities
iPadOS app
macOS app, Windows app
API support for Python, MATLAB, and LabVIEW
Documentation
Datasheets
User manuals
Specs
Moku:Go
PID Controller
Technical specifications
Channels
2 inputs / 2 outputs
Output sampling rate
125 MSa/s
DAC resolution
12 bits
Phase lag
± 5 V
Integrator crossover frequency
65,536
Software & utilities
macOS app, Windows app
API support for Python, MATLAB, and LabVIEW
Documentation
Datasheets
User manuals
Specs
Featured resources
From detailed case studies featuring real-world users to comprehensive application notes that explore instrument features and functions, we offer a range of resources to help you work smarter and achieve more with the Moku PID Controller.
