Multirate systems are abundant in industry; for example, many soft-sensor design problems are related to modeling, parameter identification, or state estimation involving multirate systems. The study of multirate syst...Multirate systems are abundant in industry; for example, many soft-sensor design problems are related to modeling, parameter identification, or state estimation involving multirate systems. The study of multirate systems goes back to the early 1950's, and has become an active research area in systems and control. This paper briefly surveys the history of development in the area of multirate systems, and introduces some basic concepts and latest results on multirate systems, including a polynomial transformation technique and the lifting technique as tools for handling multirate systems, lifted state space models, parameter identification of dual-rate systems, how to determine fast single-rate models from dual-rate models and directly from dual-rate data, and a hierarchical identification method for general multirate systems. Finally, some further research topics for multirate systems are given.展开更多
针对常见控制策略在大型液压设备控制方面存在控制精度低与算法太复杂的问题,提出了基于线性扩张状态观测器(linear extended state observer,LESO)的线性时变模型预测控制(linear time-varying model predictive control,LTV-MPC)策略...针对常见控制策略在大型液压设备控制方面存在控制精度低与算法太复杂的问题,提出了基于线性扩张状态观测器(linear extended state observer,LESO)的线性时变模型预测控制(linear time-varying model predictive control,LTV-MPC)策略。通过起竖液压系统状态空间方程,设计了LESO实时估计系统当前状态;通过LTV-MPC输出比例阀电压信号的最优解。通过仿真与试验,验证所提方法的有效性。结果表明:无干扰时,相较于其他控制策略,LESO-LTV-MPC控制误差为0.014%,具有较高的控制精度;施加大干扰时,LESO-LTV-MPC控制误差为0.223%,具有较强的鲁棒性。因此,该控制策略能够有效提升起竖液压系统的性能。展开更多
借助于偏差补偿原理和预滤波思想,推导了有色噪声干扰输出误差系统参数估计的偏差补偿递推最小二乘(Bias compensation recursive least squares,BCRLS)辨识方法.该方法降低了辨识对输入信号平稳性的要求,实现了偏差补偿方法参数估计的...借助于偏差补偿原理和预滤波思想,推导了有色噪声干扰输出误差系统参数估计的偏差补偿递推最小二乘(Bias compensation recursive least squares,BCRLS)辨识方法.该方法降低了辨识对输入信号平稳性的要求,实现了偏差补偿方法参数估计的递推计算,可以用于在线辨识.提出的递推BCRLS辨识方法优于非递推偏差补偿最小二乘算法,提高了参数估计精度.仿真试验证实了算法的有效性.展开更多
基金Supported by the Natural Sciences and Engineering Research Council of Canada and National Natural Science Foundation of P.R.China
文摘Multirate systems are abundant in industry; for example, many soft-sensor design problems are related to modeling, parameter identification, or state estimation involving multirate systems. The study of multirate systems goes back to the early 1950's, and has become an active research area in systems and control. This paper briefly surveys the history of development in the area of multirate systems, and introduces some basic concepts and latest results on multirate systems, including a polynomial transformation technique and the lifting technique as tools for handling multirate systems, lifted state space models, parameter identification of dual-rate systems, how to determine fast single-rate models from dual-rate models and directly from dual-rate data, and a hierarchical identification method for general multirate systems. Finally, some further research topics for multirate systems are given.
文摘针对常见控制策略在大型液压设备控制方面存在控制精度低与算法太复杂的问题,提出了基于线性扩张状态观测器(linear extended state observer,LESO)的线性时变模型预测控制(linear time-varying model predictive control,LTV-MPC)策略。通过起竖液压系统状态空间方程,设计了LESO实时估计系统当前状态;通过LTV-MPC输出比例阀电压信号的最优解。通过仿真与试验,验证所提方法的有效性。结果表明:无干扰时,相较于其他控制策略,LESO-LTV-MPC控制误差为0.014%,具有较高的控制精度;施加大干扰时,LESO-LTV-MPC控制误差为0.223%,具有较强的鲁棒性。因此,该控制策略能够有效提升起竖液压系统的性能。
文摘借助于偏差补偿原理和预滤波思想,推导了有色噪声干扰输出误差系统参数估计的偏差补偿递推最小二乘(Bias compensation recursive least squares,BCRLS)辨识方法.该方法降低了辨识对输入信号平稳性的要求,实现了偏差补偿方法参数估计的递推计算,可以用于在线辨识.提出的递推BCRLS辨识方法优于非递推偏差补偿最小二乘算法,提高了参数估计精度.仿真试验证实了算法的有效性.
