1. PID Control Optimization Based on MDE-RBF Hybrid Algorithm and Its Application in Controlling Vibrations in Avionics.
- Author
-
Li, Xingqi, Zhou, Ling, Wu, Donglin, Ding, Xiaojun, Liu, Xuechen, Chen, Guohua, Zhu, Jiayuan, and Han, Jingzhuang
- Abstract
Objectives: The ratio of failures in avionics caused by vibration is considerably high. Reducing the impact of vibrations on the performance of equipment performance is critical. Methods: A PID control based on hybrid optimization algorithm of mutation differential evolution—radial basis function (MDE-RBF) is proposed. During the mutation stage of the MDE algorithm, two sampling and mutation operators are introduced to obtain the dominant individuals for participating in the next-generation. This enables the algorithm to avoid falling in the local optima and improve the global search ability. In the RBF neural network, the data smoothing factor combined with conjugate degree method is used to reduce the fluctuations in the weights during the training process. The MDE-RBF hybrid optimization algorithm combined with PID control is used to shorten the adjustment time of PID and realize the rapid reduction of vibration. The active vibration absorption test of printed circuit board assembly (PCBA) under laboratory conditions, and compared with the standard PID and RBF-PID tests. Results: In the vibration active control test, the MDE-RBF-PID control at different frequencies and voltages showed better damping effect than the standard PID and RBF-PID control. Conclusion: The test results show that the combination of the improved hybrid algorithm and the traditional PID control can quickly suppress the vibration of electronic equipment in the vibration test, and also prolong the service life of the experimental object. [ABSTRACT FROM AUTHOR]
- Published
- 2025
- Full Text
- View/download PDF