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Application of optimization algorithm improves control parameters in rotary modulation systems, indicating potential advancements in control accuracy.
This article first takes the rotary modulation system as the research object for system modeling and control law design, and determines the initial control parameters of the system. Then, through the analysis of particle swarm optimization algorithm and empirical estimation of control parameters, an optimization algorithm for control parameter optimization was designed, and the optimal set of control parameters was found through iterative optimization. Finally, the control accuracy under this control parameter set was verified through simulation and physical verification, demonstrating the feasibility of particle swarm optimization algorithm in the field of optimizing control parameters and related parameters of rotary modulation systems.
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Gao et al. (2025) studied this question.
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