| 胡航溢,许龙,郑伟成,罗 凯.基于改进粒子群算法的超声雾化电源频率跟踪*[J].,2024,43(1):198-203 |
| 基于改进粒子群算法的超声雾化电源频率跟踪* |
| The frequency tracking of the ultrasonic atomization power supply based on improved particle swarm optimization |
| 投稿时间：2022-09-02 修订日期：2023-12-30 |
| 中文摘要: |
| 超声波雾化技术由于其良好的雾化效果获得了广泛关注，具有极大的研究价值和应用前景。但是在超声雾化的过程中，由于换能器的温度变化、刚度变化以及在水中的负载变化等因素，会产生谐振频率漂移的现象。当工作频率偏移谐振频率时，将造成换能器的工作效率降低和元器件损坏等问题。针对此问题，设计了基于改进粒子群算法优化PID参数的超声雾化电源频率跟踪算法，并对该算法进行频率跟踪的仿真验证和实验对比，在频率跟踪上实现了更好的效果，使换能器能够稳定工作在谐振状态，提高了电源的利用率。 |
| 英文摘要: |
| At present, ultrasonic atomization technology has received extensive attention because of its good atomization effect, which has great research value and application prospects. However, in the process of ultrasonic atomization, due to the temperature change, stiffness change of the transducer, load change in water and other factors, the phenomenon of resonant frequency drift will occur. Once the working frequency is not at the resonant frequency point, it will reduce the working efficiency of the transducer and damage the electronic components. To solve this problem, a frequency tracking algorithm of ultrasonic atomization power supply based on improved particle swarm optimization algorithm to optimize PID parameters is designed. Simulation and experimental comparison of the algorithm for frequency tracking have been conducted, achieving better results in frequency tracking, enabling the transducer to work stably in resonant state, and improving the utilization rate of power supply. |
| DOI：10.11684/j.issn.1000-310X.2024.01.023 |
| 中文关键词: 超声电源 超声波雾化 频率跟踪 粒子群算法 PID |
| 英文关键词: Ultrasonic power Ultrasonic atomization Frequency tracking Particle swarm optimization PID |
| 基金项目:国家自然科学基金项目（面上项目，重点项目，重大项目） |
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