Applications

Bode analysis and control system design

Stabilize even the most sensitive systems with fully-configurable, digital PID control.

Woman holding tablet showing Frequency Reponse Analyzer in software UI

Full control and characterization tools.

Moku offers a complete, closed-loop control system in a single device, eliminating the need for multiple standalone instruments. With integrated instruments like the PID Controller, Oscilloscope, Data Logger, and Frequency Response Analyzer, you can monitor, control, and characterize your system with ease. Use the Frequency Response Analyzer to perform Bode analysis and measure transfer functions of electrical, mechanical, or optical systems — making Moku ideal for optimizing feedback loops, identifying resonances, designing filters, and determining bandwidth.

Optimizing bidirectionally mode-locked fiber lasers with Moku

“Moku gives me real-time frequency domain analysis.That saves a lot of time.”

Learn how CU Boulder researchers are advancing LiDAR and remote sensing applications with the Moku PID Controller and a single-cavity, dual-comb laser source.

View of connected Moku device using Laser Lock Box on screen of software UI

Controls resources

Explore user case studies, comprehensive application notes, and detailed configuration guides to improve system control and characterization.

FAQ

Can Moku replace a full control system lab setup, or do I still need other instruments for tasks like Bode plots and data logging?

Moku combines multiple key instruments, including a digital PID Controller, Oscilloscope, Data Logger, and Frequency Response Analyzer, into one compact device. That means you can characterize your plant with a Bode plot, design and tune a controller, and monitor the system response in real time without switching hardware or manually wiring components together.

How well does Moku support tuning and debugging sensitive or high-speed feedback loops?

The Moku PID Controller supports fully configurable gains, filters, and saturation handling with low loop latency. You can adjust parameters in real time while observing both time- and frequency-domain responses on the same interface, making it ideal for fine-tuning control loops in delicate systems like laser locks, scanning stages, or resonators.

Can I automate system identification and control loop testing for repeated experiments or production testing?

Yes. The Moku Python API lets you automate frequency sweeps, controller tuning, and performance logging in a fully scriptable manner. Whether you’re designing a R&D testbench or running automated QA for actuator and servo systems, Moku gives you the tools to integrate system identification and control verification directly into your stack

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