摘要
针对当前汽车天窗继电器闭合后,电动机控制天窗平移开闭、起翘开闭及防夹回退响应滞后问题,将内部不确定因素和外部环境干扰视为一个综合影响因素,提出了一种基于粒子群算法优化的改进型自抗扰控制方法,旨在改善汽车天窗的响应性能。首先,设计了一种新型cfal函数,解决了fal函数在拐点处不平滑容易引发抖动和控制系统不稳定的问题。接着,基于这种新型非线性cfal函数,构建了改进型扩张状态观测器,实现了对天窗扰动影响的实时估计。最后,采用粒子群算法进行内部参数优化调节,进行了汽车天窗系统的控制实验,并将该方法的输出响应曲线与传统ADRC控制进行了对比分析,实验结果验证了这种自抗扰控制方法在提升汽车天窗响应性能方面的优越性和可行性。
In order to solve the problem of delayed response when the motor controls the opening and closing of sunroof after the relay is closed,the internal uncertainty factor and the external environment interference are considered as a comprehensive influencing factor.Therefore,an modified active anti-disturbance control method based on particle swarm optimization is proposed to improve the response performance of vehicle sunroofs.First a new cfal function is designed to address its unsmoothness at the inflection point and the consequently resultant ease of jitter and instability of the control system.Then based on this new nonlinear cfal function,an improved extended state observer is constructed to achieve real-time estimation of skylight disturbance.Finally by using particle swarm algorithm,the internal parameters are optimized and the control experiment of automobile sunroof system is carried out.Comparative analysis on the output response curve with the conventional ADRC control verifies the superiority and feasibility of the proposed method in improving the response performance of sunroofs.
作者
张陆贤
陈邱卓
ZHANG Luxian;CHEN Qiuzhuo(Anhui Anjian Automobile Skylight Technology Co.,Ltd.,Wuhu 241000,China;School of Electrical Engineering Anhui Polytechnic University,Wuhu 241000,China)
出处
《电工技术》
2024年第16期22-25,共4页
Electric Engineering
基金
安徽省自然科学基金资助项目(编号1808085QE169)。
关键词
汽车天窗
自抗扰控制
粒子群算法
改进型扩张状态观测器
automobile sunroof
active anti-disturbance control
particle swarm optimization
improved extended state observer
