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MPC and genetic algorithm for flying pendulum control
An approach combining model predictive control (MPC) and an online genetic algorithm is proposed to estimate the unknown pendulum length in a flying inverted pendulum control problem. Experiments on a real setup confirmed the accuracy and robustness of the method under various initial conditions and disturbances.
Why it matters
Demonstrates real-time adaptation of MPC to uncertain parameters, which is important for robust control in complex dynamic systems.
Relevant to DT products
- Original headline
- Balancing a Flying Inverted Pendulum with an Unknown Length Using Model Predictive Control and a Genetic Algorithm Estimator
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