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Real-Time PID Tuning for Robots by Mauricio Ramos is a document available to read on EtoBox.

The document proposes a real-time population-based optimization method for tuning the PID controller parameters of robot manipulators to minimize position error during trajectory tracking. It applies two population-based search algorithms, Cross-Entropy optimization and Differential Evolutionary optimization, to tune the PID gains in real-time. Testing on a two-joint manipulator and inverted pendulum showed the method improves settling time and reduces position error over repeated paths compared to conventi

Author
Mauricio Ramos
Language
EN