基于强化学习的重介质选煤过程优化控制

doi:10.11799/ce202201025

Abstract

Abstract: The main influence factor on the quality of dense medium coal preparation product is the density of dense medium suspension. However, due to the complex process, numerous equipment and strong nonlinear characteristics, it is difficult to realize the optimal control of dense medium suspension density. In this paper, an optimal control method based on reinforcement learning is proposed to update the density setting-value online. The two step iterations of strategy updating and strategy evaluation are implemented by different neural networks. And a model-free controller is established. Finally, on the MATLAB simulation platform, the proposed method is compared with the traditional PI control method to verify the effectiveness of the proposed method.

CLC Number:

TD94

References

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Optimal control of dense medium coal preparation process based on reinforcement learning

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