一种量化因子改进型的模糊自适应PID控制算法  

An Improved Fuzzy Adaptive PID Control Algorithm Based on Quantization Factor

作　　者：赵欣[1] 彭章君[2] 刘昱博 郭研捷 施怡乐 Zhao Xin;Peng Zhangjun;Liu Yubo;Guo Yanjie;Shi Yile(College of Electronics and Information,Mianyang Vocational and Technical College,Mianyang 621000,China;School of Information Engineering,Southwest University of Science and Technology,Mianyang 621000,China;Strategic Technology and Equipment Development Center,China Academy of Engineering Physics,Mianyang 621000,China)

机构地区：[1]绵阳职业技术学院电子与信息学院,四川绵阳621000 [2]西南科技大学信息工程学院,四川绵阳621000 [3]中国工程物理研究院战略技术装备发展中心,四川绵阳621000

出　　处：《兵工自动化》2024年第6期27-30,48,共5页Ordnance Industry Automation

基　　金：国家自然科学基金(51979261)。

摘　　要：针对模糊PID控制下的动态性能问题,提出一种量化因子改进型的模糊自适应PID(Fuzzy-PID)控制算法。在模糊量化环节引入模糊论域量化因子在线调整函数,实现对模糊量化因子的实时调整;将传统PID控制、传统模糊PID控制和量化因子改进性模糊PID控制,分别在100 kHz和200 kHz的系统频率下,进行单位阶跃输入信号下的动态性能对比实验。结果表明:该算法在2种系统频率下均能实现无超调,调节时间不超过0.15 s,其动态性能相较传统控制算法具有明显提升。Aiming at the problem of dynamic performance under fuzzy PID control,a fuzzy-PID control algorithm based on improved quantitative factor is proposed.The online adjustment function of fuzzy domain quantization factor is introduced in the fuzzy quantization link to realize the real-time adjustment of fuzzy quantization factor.The dynamic performance comparison experiments of the traditional PID control,the traditional fuzzy PID control and the quantization factor improved fuzzy PID control are carried out under the unit step input signal at the system frequency of 100 kHz and 200 kHz,respectively.The results show that the algorithm can achieve no overshoot under two system frequencies,and the settling time is less than 0.15 s,and its dynamic performance is significantly improved compared with the traditional control algorithm.

关 键 词：移相全桥 数字电源 模糊PID 量化因子 动态性能 

分 类 号：TP17[自动化与计算机技术—控制理论与控制工程]