张逸,孙金林,丁世宏,常亚菲,邢高勇.基于复合自适应的Buck变换器预设性能控制[J].电子测量与仪器学报,2024,38(4):85-93
基于复合自适应的Buck变换器预设性能控制
Composite adaptive prescribed performance control for Buck converters
  
DOI:
中文关键词:  Buck型变换器  自适应控制  反步法  非线性控制  预设性能控制  指令滤波
英文关键词:Buck converter  adaptive control  backstepping  nonlinear control  prescribed performance control  command filter
基金项目:国家重点研发计划(2022YFD200150203)、江苏省自然科学基金(BK20220518)、国家自然科学基金(62203189, 62003034)、江苏大学高级人才基金项目(22JDG044)、省部共建现代农业装备与技术协同创新中心(XTCX2015)资助
作者单位
张逸 江苏大学电气信息工程学院镇江212013 
孙金林 江苏大学电气信息工程学院镇江212013 
丁世宏 江苏大学电气信息工程学院镇江212013 
常亚菲 北京控制工程研究所北京100190 
邢高勇 3.中国农业大学工学院北京100083;4.农业装备技术全国重点实验室北京100083 
AuthorInstitution
Zhang Yi School of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, China 
Sun Jinlin School of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, China 
Ding Shihong School of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, China 
Chang Yafei Beijing Institute of Control Engineering, Beijing 100190, China 
Xing Gaoyong 3.College of Engineering, China Agricultural University, Beijing 100083, China; 4.National Key Laboratory of Agricultural Equipment Technology, Beijing 100083, China 
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中文摘要:
      针对Buck型变换器在复杂环境下发生负载波动时输出电压受扰的问题,提出了一种复合自适应预设性能控制方案以提升其控制效果。首先,利用自适应律对模型中包含负载项的非线性函数进行预测估计,同时通过在自适应律更新过程中构建并行估计模型获取预测误差,并将预测误差和跟踪误差融合以设计自适应参数更新律。然后,采用广义比例积分观测器来对剩余不确定性和外部扰动进行估计,并在控制律中进行补偿。最后,结合指令滤波反步控制和指定时间预设性能控制技术,提出了Buck型变换器复合自适应预设性能控制方案。所提出的方案保证了对负载波动的高精度预测,避免了在突发情况下输出电压超出预设函数范围,此外还证明了闭环控制系统中的信号收敛性。实验结果表明,复合自适应预设性能控制在负载突然减小的情况下系统最大偏离电压为0.376 V,相比于传统自适应反步控制的1.773 V减少了78.7%,验证了所提方案的有效性以及优越性。
英文摘要:
      To address the issue of output voltage disturbance in Buck converters under complex environments with load fluctuations, a composite adaptive prescribed performance control scheme is proposed to enhance control effectiveness. Initially, an adaptive law is utilized to predict and estimate the nonlinear function containing the load term within the model. Concurrently, a parallel estimation model is constructed during the adaptive law update process to acquire prediction errors, which are then integrated with tracking errors to design an adaptive parameter update law. Subsequently, a generalized proportional-integral observer is employed to estimate the remaining uncertainties and external disturbances, which are compensated for within the control law. Finally, combining command-filtering backstepping control and specified-time prescribed performance control techniques, a composite adaptive prescribed performance control scheme for Buck converters is proposed. The presented scheme ensures high-precision prediction of load fluctuations, preventing output voltage from exceeding the prescribed function range during sudden events, and also demonstrates the signal convergence within the closed-loop control system. Experimental results indicate that the composite adaptive prescribed performance control, when faced with a sudden reduction in load, limits the system’s maximum voltage deviation to 0.376 V, a 78.7% decrease compared to the traditional adaptive backstepping control’s 1.773 V, thereby validating the effectiveness and superiority of the proposed scheme.
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