A winding system is a time-varying system that considers complex nonlinear characteristics,and how to control the stability of the winding tension during the winding process is the primary problem that has hindered de...A winding system is a time-varying system that considers complex nonlinear characteristics,and how to control the stability of the winding tension during the winding process is the primary problem that has hindered development in this field in recent years.Many nonlinear factors affect the tension in the winding process,such as friction,structured uncertainties,unstructured uncertainties,and external interference.These terms severely restrict the tension tracking performance.Existing tension control strategies are mainly based on the composite control of the tension and speed loops,and previous studies involve complex decoupling operations.Owing to the large number of calculations required for this method,it is inconvenient for practical engineering applications.To simplify the tension generation mechanism and the influence of the nonlinear characteristics of the winding system,a simpler nonlinear dynamic model of the winding tension was established.An adaptive method was applied to update the feedback gain of the continuous robust integral of the sign of the error(RISE).Furthermore,an extended state observer was used to estimate modeling errors and external disturbances.The model disturbance term can be compensated for in the designed RISE controller.The asymptotic stability of the system was proven according to the Lyapunov stability theory.Finally,a comparative analysis of the proposed nonlinear controller and several other controllers was performed.The results indicated that the control of the winding tension was significantly enhanced.展开更多
This paper investigates the tracking control problem for unmanned underwater vehicles(UUVs)systems with sensor faults,input saturation,and external disturbance caused by waves and ocean currents.An active sensor fault...This paper investigates the tracking control problem for unmanned underwater vehicles(UUVs)systems with sensor faults,input saturation,and external disturbance caused by waves and ocean currents.An active sensor fault-tolerant control scheme is proposed.First,the developed method only requires the inertia matrix of the UUV,without other dynamic information,and can handle both additive and multiplicative sensor faults.Subsequently,an adaptive fault-tolerant controller is designed to achieve asymptotic tracking control of the UUV by employing robust integral of the sign of error feedback method.It is shown that the effect of sensor faults is online estimated and compensated by an adaptive estimator.With the proposed controller,the tracking error and estimation error can asymptotically converge to zero.Finally,simulation results are performed to demonstrate the effectiveness of the proposed method.展开更多
考虑模型不确定性和外部干扰等影响,基于径向基函数神经网络(radial basis function neural network,RBFNN)和改进的误差符号函数鲁棒积分(robust integral of signum error,RISE)技术,建立无人直升机(unmanned aerial helicopter,UAH)...考虑模型不确定性和外部干扰等影响,基于径向基函数神经网络(radial basis function neural network,RBFNN)和改进的误差符号函数鲁棒积分(robust integral of signum error,RISE)技术,建立无人直升机(unmanned aerial helicopter,UAH)轨迹跟踪控制设计方案。首先,建立包含模型不确定性和外部干扰的UAH非线性系统模型,利用跟踪误差作为RBFNN输入信号估计由模型不确定性和外部干扰组成的复合扰动。其次,将滤波信号及其变化率权重组合作为RISE输入信号设计控制器,从而降低控制设计方案对UAH动力学模型的依赖程度。进而,借助Lyapunov稳定性理论分析整合后闭环跟踪误差系统的稳定性,并给出控制参数的选取方法。最后,借助现有文献中UAH系统模型,仿真与比较结果均说明所提控制算法的有效性和优越性。展开更多
为提高电压源型逆变器的性能,针对其存在的动态未建模、参数不确定和负载扰动等不利因素,提出改进的误差符号积分鲁棒(robust integral of the sign of the error,简称RISE)控制策略.首先,根据电路理论建立包含匹配干扰和不匹配干扰在...为提高电压源型逆变器的性能,针对其存在的动态未建模、参数不确定和负载扰动等不利因素,提出改进的误差符号积分鲁棒(robust integral of the sign of the error,简称RISE)控制策略.首先,根据电路理论建立包含匹配干扰和不匹配干扰在内的系统模型;其次,通过引入辅助状态变量,将不匹配干扰转移至控制通道,从而得到等价的集总干扰;再次,设计改进的RISE控制,其中的积分鲁棒项可处理集总干扰,使系统获得渐近跟踪性能;最后,通过仿真验证该文改进RISE控制的优越性.仿真结果表明:相对于双环比例积分(proportional integral,简称PI)控制、传统RISE控制,改进RISE控制的阶跃响应性能更出色、d轴电压暂态波形更平滑、抗负载扰动能力更强、稳态性能更优异.展开更多
串联弹性驱动器(Series elastic actuator, SEA)是机器人交互系统中的一种理想力源.本文针对非线性SEA的力矩控制问题提出一种基于RISE (Robust integral of the sign of the error)反馈的最优控制方法,能够克服模型参数不确定和有界扰...串联弹性驱动器(Series elastic actuator, SEA)是机器人交互系统中的一种理想力源.本文针对非线性SEA的力矩控制问题提出一种基于RISE (Robust integral of the sign of the error)反馈的最优控制方法,能够克服模型参数不确定和有界扰动,实现SEA输出力矩在交互过程中快速平稳地收敛到期望值.具体来说,首先对SEA的模型进行分析和变换;然后假设模型参数和扰动均已知,并在此基础上基于二次型指标设计最优控制律;之后基于RISE反馈重新设计控制律抵消模型参数不确定性和有界扰动,基于Lyapunov理论分析控制器的收敛性和信号的有界性,实验结果表明这种基于RISE反馈的最优控制方法具有良好的控制性能和对有界扰动的鲁棒性.展开更多
基金Supported by National Key R&D Program of China (Grant No.2018YFB2000702)National Natural Science Foundation of China (Grant No.52075262)Fok Ying-Tong Education Foundation of China (Grant No.171044)。
文摘A winding system is a time-varying system that considers complex nonlinear characteristics,and how to control the stability of the winding tension during the winding process is the primary problem that has hindered development in this field in recent years.Many nonlinear factors affect the tension in the winding process,such as friction,structured uncertainties,unstructured uncertainties,and external interference.These terms severely restrict the tension tracking performance.Existing tension control strategies are mainly based on the composite control of the tension and speed loops,and previous studies involve complex decoupling operations.Owing to the large number of calculations required for this method,it is inconvenient for practical engineering applications.To simplify the tension generation mechanism and the influence of the nonlinear characteristics of the winding system,a simpler nonlinear dynamic model of the winding tension was established.An adaptive method was applied to update the feedback gain of the continuous robust integral of the sign of the error(RISE).Furthermore,an extended state observer was used to estimate modeling errors and external disturbances.The model disturbance term can be compensated for in the designed RISE controller.The asymptotic stability of the system was proven according to the Lyapunov stability theory.Finally,a comparative analysis of the proposed nonlinear controller and several other controllers was performed.The results indicated that the control of the winding tension was significantly enhanced.
基金the National Natural Science Foundation of China(62303012,62236002,61911004,62303008)。
文摘This paper investigates the tracking control problem for unmanned underwater vehicles(UUVs)systems with sensor faults,input saturation,and external disturbance caused by waves and ocean currents.An active sensor fault-tolerant control scheme is proposed.First,the developed method only requires the inertia matrix of the UUV,without other dynamic information,and can handle both additive and multiplicative sensor faults.Subsequently,an adaptive fault-tolerant controller is designed to achieve asymptotic tracking control of the UUV by employing robust integral of the sign of error feedback method.It is shown that the effect of sensor faults is online estimated and compensated by an adaptive estimator.With the proposed controller,the tracking error and estimation error can asymptotically converge to zero.Finally,simulation results are performed to demonstrate the effectiveness of the proposed method.
文摘考虑模型不确定性和外部干扰等影响,基于径向基函数神经网络(radial basis function neural network,RBFNN)和改进的误差符号函数鲁棒积分(robust integral of signum error,RISE)技术,建立无人直升机(unmanned aerial helicopter,UAH)轨迹跟踪控制设计方案。首先,建立包含模型不确定性和外部干扰的UAH非线性系统模型,利用跟踪误差作为RBFNN输入信号估计由模型不确定性和外部干扰组成的复合扰动。其次,将滤波信号及其变化率权重组合作为RISE输入信号设计控制器,从而降低控制设计方案对UAH动力学模型的依赖程度。进而,借助Lyapunov稳定性理论分析整合后闭环跟踪误差系统的稳定性,并给出控制参数的选取方法。最后,借助现有文献中UAH系统模型,仿真与比较结果均说明所提控制算法的有效性和优越性。
文摘为提高电压源型逆变器的性能,针对其存在的动态未建模、参数不确定和负载扰动等不利因素,提出改进的误差符号积分鲁棒(robust integral of the sign of the error,简称RISE)控制策略.首先,根据电路理论建立包含匹配干扰和不匹配干扰在内的系统模型;其次,通过引入辅助状态变量,将不匹配干扰转移至控制通道,从而得到等价的集总干扰;再次,设计改进的RISE控制,其中的积分鲁棒项可处理集总干扰,使系统获得渐近跟踪性能;最后,通过仿真验证该文改进RISE控制的优越性.仿真结果表明:相对于双环比例积分(proportional integral,简称PI)控制、传统RISE控制,改进RISE控制的阶跃响应性能更出色、d轴电压暂态波形更平滑、抗负载扰动能力更强、稳态性能更优异.
文摘串联弹性驱动器(Series elastic actuator, SEA)是机器人交互系统中的一种理想力源.本文针对非线性SEA的力矩控制问题提出一种基于RISE (Robust integral of the sign of the error)反馈的最优控制方法,能够克服模型参数不确定和有界扰动,实现SEA输出力矩在交互过程中快速平稳地收敛到期望值.具体来说,首先对SEA的模型进行分析和变换;然后假设模型参数和扰动均已知,并在此基础上基于二次型指标设计最优控制律;之后基于RISE反馈重新设计控制律抵消模型参数不确定性和有界扰动,基于Lyapunov理论分析控制器的收敛性和信号的有界性,实验结果表明这种基于RISE反馈的最优控制方法具有良好的控制性能和对有界扰动的鲁棒性.
