为了解决电动助力转向(electric power steering,EPS)系统回正控制中快速性与准确性之间的矛盾,提升回正控制的稳定性,文章针对PID控制中积分环节的不利影响及滑模变结构控制(sliding mode control,SMC)较为依赖精确数学模型的问题,采...为了解决电动助力转向(electric power steering,EPS)系统回正控制中快速性与准确性之间的矛盾,提升回正控制的稳定性,文章针对PID控制中积分环节的不利影响及滑模变结构控制(sliding mode control,SMC)较为依赖精确数学模型的问题,采用了非线性状态误差反馈(nonlinear state error feedback,NLSEF)的EPS回正控制策略;对NLSEF的参数采用模糊化控制调节,以转向盘的转角及角速度作为输入变量,建立回正控制策略模型。台架试验结果对比表明,参数模糊化控制的NLSEF方案明显改善了EPS的回正性能,同一车速条件下,不论转向盘初始状态如何,都能快速、准确地操纵汽车回正。展开更多
针对高超声速飞行器无动力再入过程中具有强耦合、气动参数摄动及不确定性的非线性姿态模型,结合自抗扰控制中的扩张状态观测器(extended state observer,ESO)及非线性状态误差反馈律(nonlinear law state error feedback,NLSEF),分别...针对高超声速飞行器无动力再入过程中具有强耦合、气动参数摄动及不确定性的非线性姿态模型,结合自抗扰控制中的扩张状态观测器(extended state observer,ESO)及非线性状态误差反馈律(nonlinear law state error feedback,NLSEF),分别设计了高超声速飞行器内环和外环自抗扰姿态控制器。将不确定性、耦合及参数摄动等干扰作为"总和干扰"利用扩张状态观测器进行估计并动态反馈补偿,再利用NLSEF抑制补偿残差。自抗扰控制器(active disturbance rejection control,ADRC)设计无需精确的飞行器被控模型,也无需精确的气动参数及摄动界限。仿真结果表明,控制系统能够克服干扰及气动参数大范围摄动的影响,在获取良好的动态品质和跟踪性能的同时,具有较强的鲁棒性。展开更多
In order to meet the precision requirements and tracking performance of the continuous rotary motor electro-hydraulic servo system under unknown strong non-linear and uncertain strong disturbance factors,such as dynam...In order to meet the precision requirements and tracking performance of the continuous rotary motor electro-hydraulic servo system under unknown strong non-linear and uncertain strong disturbance factors,such as dynamic uncertainty and parameter perturbation,an improved active disturbance rejection control(ADRC)strategy was proposed.The state space model of the fifth order closed-loop system was established based on the principle of valve-controlled hydraulic motor.Then the three parts of ADRC were improved by parameter perturbation and external disturbance;the fast tracking differentiator was introduced into linear and non-linear combinations;the nonlinear state error feedback was proposed using synovial control;the extended state observer was determined by nonlinear compensation.In addition,the grey wolf algorithm was used to set the parameters of the three parts.The simulation and experimental results show that the improved ADRC can realize the system frequency 12 Hz when the tracking accuracy and response speed meet the requirements of double ten indexes,which lay foundation for the motor application.展开更多
针对外部突加大负载扰动时,传统自抗扰控制策略中扩展状态观测器(ESO)的观测精度差,以及系统噪声对ESO观测精度的影响,提出一种基于卡尔曼滤波器的自抗扰控制策略(KF-ADRC)。通过卡尔曼滤波器观测出的负载转矩进行前馈补偿,以提高大负...针对外部突加大负载扰动时,传统自抗扰控制策略中扩展状态观测器(ESO)的观测精度差,以及系统噪声对ESO观测精度的影响,提出一种基于卡尔曼滤波器的自抗扰控制策略(KF-ADRC)。通过卡尔曼滤波器观测出的负载转矩进行前馈补偿,以提高大负载扰动下ESO观测精度;通过卡尔曼滤波器观测出的转速用作系统闭环反馈,以削弱系统噪声对ESO观测精度的影响。将传统自抗扰中的线性误差状态反馈律替换为非线性误差状态反馈律,以提升系统跟踪和抗扰性能。搭建了400 W PMSM伺服系统驱动平台验证了该控制策略的有效性。展开更多
文摘为了解决电动助力转向(electric power steering,EPS)系统回正控制中快速性与准确性之间的矛盾,提升回正控制的稳定性,文章针对PID控制中积分环节的不利影响及滑模变结构控制(sliding mode control,SMC)较为依赖精确数学模型的问题,采用了非线性状态误差反馈(nonlinear state error feedback,NLSEF)的EPS回正控制策略;对NLSEF的参数采用模糊化控制调节,以转向盘的转角及角速度作为输入变量,建立回正控制策略模型。台架试验结果对比表明,参数模糊化控制的NLSEF方案明显改善了EPS的回正性能,同一车速条件下,不论转向盘初始状态如何,都能快速、准确地操纵汽车回正。
文摘针对高超声速飞行器无动力再入过程中具有强耦合、气动参数摄动及不确定性的非线性姿态模型,结合自抗扰控制中的扩张状态观测器(extended state observer,ESO)及非线性状态误差反馈律(nonlinear law state error feedback,NLSEF),分别设计了高超声速飞行器内环和外环自抗扰姿态控制器。将不确定性、耦合及参数摄动等干扰作为"总和干扰"利用扩张状态观测器进行估计并动态反馈补偿,再利用NLSEF抑制补偿残差。自抗扰控制器(active disturbance rejection control,ADRC)设计无需精确的飞行器被控模型,也无需精确的气动参数及摄动界限。仿真结果表明,控制系统能够克服干扰及气动参数大范围摄动的影响,在获取良好的动态品质和跟踪性能的同时,具有较强的鲁棒性。
基金Project(51975164)supported by the National Natural Science Foundation of ChinaProject(2019-KYYWF-0205)supported by the Fundamental Research Foundation for Universities of Heilongjiang Province,China。
文摘In order to meet the precision requirements and tracking performance of the continuous rotary motor electro-hydraulic servo system under unknown strong non-linear and uncertain strong disturbance factors,such as dynamic uncertainty and parameter perturbation,an improved active disturbance rejection control(ADRC)strategy was proposed.The state space model of the fifth order closed-loop system was established based on the principle of valve-controlled hydraulic motor.Then the three parts of ADRC were improved by parameter perturbation and external disturbance;the fast tracking differentiator was introduced into linear and non-linear combinations;the nonlinear state error feedback was proposed using synovial control;the extended state observer was determined by nonlinear compensation.In addition,the grey wolf algorithm was used to set the parameters of the three parts.The simulation and experimental results show that the improved ADRC can realize the system frequency 12 Hz when the tracking accuracy and response speed meet the requirements of double ten indexes,which lay foundation for the motor application.
文摘针对外部突加大负载扰动时,传统自抗扰控制策略中扩展状态观测器(ESO)的观测精度差,以及系统噪声对ESO观测精度的影响,提出一种基于卡尔曼滤波器的自抗扰控制策略(KF-ADRC)。通过卡尔曼滤波器观测出的负载转矩进行前馈补偿,以提高大负载扰动下ESO观测精度;通过卡尔曼滤波器观测出的转速用作系统闭环反馈,以削弱系统噪声对ESO观测精度的影响。将传统自抗扰中的线性误差状态反馈律替换为非线性误差状态反馈律,以提升系统跟踪和抗扰性能。搭建了400 W PMSM伺服系统驱动平台验证了该控制策略的有效性。
