首页> 外文期刊>Nonlinear dynamics >Robust adaptive speed control of uncertain hybrid electric vehicle using electronic throttle control with varying road grade
【24h】

Robust adaptive speed control of uncertain hybrid electric vehicle using electronic throttle control with varying road grade

机译:可变坡道电子节气门控制的不确定混合动力汽车鲁棒自适应速度控制

获取原文
获取原文并翻译 | 示例
       

摘要

The design objective of this paper is to apply various control techniques to control the speed of a hybrid electric vehicle (HEV) using an electronic throttle control system (ETCS). The DC servo motor is used for controlling the angular position of the throttle valve. A proportional-integral-derivative (PID), a self-tuning fuzzy PID (STF-PID) controller and a model reference adaptive system (MRAS) with a sliding mode (SM) adaptation mechanism are used for controlling the speed of the nonlinear vehicle. The integral error performance indices (IEPI) such as the integral of the absolute error (IAE), the integral of the square of error (ISE) and the time domain performance specifications such as overshoot (OS), settling time (ST) and rise time (RT) are taken into consideration for the performance analysis of HEV. The robust H∞ controller using mixed sensitivity approach is designed and implemented for the linearized HEV. The robust stability of uncertain HEV with H∞ controller using Kharitonov’s theorem is analyzed, and the stability margin of the linearized vehicle system is determined. These control techniques are developed to achieve the robust performance of the throttle controlled HEV with the target to achieve a wide range of speed, fuel economy, reduced pollution and improved efficiency.
机译:本文的设计目标是应用各种控制技术,通过电子节气门控制系统(ETCS)来控制混合动力电动汽车(HEV)的速度。直流伺服电机用于控制节气门的角度位置。比例积分微分(PID),自整定模糊PID(STF-PID)控制器和具有滑模(SM)自适应机制的模型参考自适应系统(MRAS)用于控制非线性车辆的速度。积分误差性能指标(IEPI),例如绝对误差(IAE)的积分,误差平方(ISE)的积分以及时域性能指标,例如过冲(OS),建立时间(ST)和上升混合动力汽车的性能分析要考虑时间(RT)。针对线性混合动力汽车设计并实现了使用混合灵敏度方法的鲁棒H∞控制器。基于哈里顿诺夫定理,采用H∞控制器对不确定的混合动力汽车的鲁棒稳定性进行了分析,并确定了线性化车辆系统的稳定性裕度。开发这些控制技术是为了实现节气门控制的混合动力汽车的强劲性能,目标是实现广泛的速度,燃油经济性,减少污染和提高效率。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号