| 引用本文: | 曲逸,许芳,于树友,陈虹,李宗俐.基于扩张状态观测器的车辆横摆稳定模型预测控制器设计（英文）[J].控制理论与应用,2020,37(5):941~949.[点击复制] |
| QU Yi,XU Fang,YU Shu-you,CHEN Hong,LI Zong-li.Model predictive control based on extended state observer for vehicle yaw stability[J].Control Theory and Technology,2020,37(5):941~949.[点击复制] |
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| 基于扩张状态观测器的车辆横摆稳定模型预测控制器设计（英文） |
| Model predictive control based on extended state observer for vehicle yaw stability |
| 摘要点击 2157 全文点击 818 |
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| DOI编号 |
| 2020,37(5):941-949 |
| 中文关键词 车辆横摆稳定 模型预测控制 扩张状态观测器 不确定扰动 |
| 英文关键词 vehicle yaw stability model predictive control extended state observer uncertain disturbance |
| 基金项目 |
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| 中文摘要 |
| 针对车辆横摆稳定性控制问题, 本文提出一种基于扩张状态观测器的线性模型预测控制器设计方法. 首先, 将
非线性车辆模型线性化, 建立带有模型误差干扰项的线性模型, 其中线性化导致的模型误差采用扩张状态观测器估计得
到, 并证明了观测器的稳定性. 然后基于此模型设计线性预测控制器, 近似实现了非线性预测控制器的控制效果, 同时
降低了计算量. 最后, 通过不同路况下的仿真实验结果, 验证了所提方法的计算性能和控制效果. |
| 英文摘要 |
| In this paper, a linear model predictive control (LMPC) based on extended state observer (ESO) strategy is
proposed to improve vehicle stability. Firstly, a linear model with disturbance term is obtained by linearizing the nonlinear
vehicle system. The plant-model mismatch and external disturbance are captured by ESO, and its stability is assessed. In
the following, estimated disturbance is compensated in the LMPC controller to meet the performance by nonlinear model
predictive control (NMPC), and the computational burden is decreased at the same time. Finally, the simulation results
under different road conditions verify the computational performance and control effect of the proposed method. |
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