针对具有参数不确定性、不匹配和匹配的时变扰动的电液执行器(electro‑hydraulic actuator,EHA)系统,提出了一种渐近跟踪控制策略.首先,构造了一个扩展状态观测器(extended state observer,ESO)获得对不匹配时变扰动的精确估计及补偿;该...针对具有参数不确定性、不匹配和匹配的时变扰动的电液执行器(electro‑hydraulic actuator,EHA)系统,提出了一种渐近跟踪控制策略.首先,构造了一个扩展状态观测器(extended state observer,ESO)获得对不匹配时变扰动的精确估计及补偿;该ESO通过在经典ESO中引入鲁棒自适应项,得到了渐近估计结果,降低了鲁棒增益选择的保守性.然后,设计一个鲁棒自适应项来估计匹配扰动的上界,以消除匹配时变扰动的影响.此外,自适应律用于估计参数不确定性.通过李雅普诺夫稳定性理论证明了跟踪误差能渐近收敛至零.最后,通过仿真和实验验证了所提控制策略的有效性.展开更多
研究具有线性时变扰动的多变量控制系统性能评价的方法.通过将时变扰动分为三类定常扰动,进而构造一个加权的性能指标,权值矩阵与不同扰动类型和优先级相对应.在指定合理的输出方差后,运用对角关联矩阵方法明确计算出广义多变量系统闭...研究具有线性时变扰动的多变量控制系统性能评价的方法.通过将时变扰动分为三类定常扰动,进而构造一个加权的性能指标,权值矩阵与不同扰动类型和优先级相对应.在指定合理的输出方差后,运用对角关联矩阵方法明确计算出广义多变量系统闭环输出方差的上下限值.经过ITAE(Integral of time-weighted absolute value of the error)寻优得到最小输出方差下的控制器参数,并给出可实现的最优控制器模型.仿真实例证明了该方法计算的简便性和有效性.展开更多
Small signal instability may cause severe accidents for power system if it can not be dear correctly and timely. How to maintain power system stable under small signal disturbance is a big challenge for power system o...Small signal instability may cause severe accidents for power system if it can not be dear correctly and timely. How to maintain power system stable under small signal disturbance is a big challenge for power system operators and dispatchers. Time delay existing in signal transmission process makes the problem more complex. Conventional eigenvalue analysis method neglects time delay influence and can not precisely describe power system dynamic behaviors. In this work, a modified small signal stability model considering time varying delay influence was constructed and a new time delay controller was proposed to stabilize power system under disturbance. By Lyapunov-Krasovskii function, the control law in the form of nonlinear matrix inequality （NLMI） was derived. Considering synthesis method limitation for time delay controller at present, both parameter adjustment method by using linear matrix inequality （LMI） solver and iteration searching method by solving nonlinear minimization problem were suggested to design the controller. Simulation tests were carried out on synchronous-machine infinite-bus power system. Satisfactory test results verify the correctness of the proposed model and the feasibility of the stabilization approach.展开更多
文摘针对具有参数不确定性、不匹配和匹配的时变扰动的电液执行器(electro‑hydraulic actuator,EHA)系统,提出了一种渐近跟踪控制策略.首先,构造了一个扩展状态观测器(extended state observer,ESO)获得对不匹配时变扰动的精确估计及补偿;该ESO通过在经典ESO中引入鲁棒自适应项,得到了渐近估计结果,降低了鲁棒增益选择的保守性.然后,设计一个鲁棒自适应项来估计匹配扰动的上界,以消除匹配时变扰动的影响.此外,自适应律用于估计参数不确定性.通过李雅普诺夫稳定性理论证明了跟踪误差能渐近收敛至零.最后,通过仿真和实验验证了所提控制策略的有效性.
文摘研究具有线性时变扰动的多变量控制系统性能评价的方法.通过将时变扰动分为三类定常扰动,进而构造一个加权的性能指标,权值矩阵与不同扰动类型和优先级相对应.在指定合理的输出方差后,运用对角关联矩阵方法明确计算出广义多变量系统闭环输出方差的上下限值.经过ITAE(Integral of time-weighted absolute value of the error)寻优得到最小输出方差下的控制器参数,并给出可实现的最优控制器模型.仿真实例证明了该方法计算的简便性和有效性.
基金Project(51007042)supported by the National Natural Science Foundation of China
文摘Small signal instability may cause severe accidents for power system if it can not be dear correctly and timely. How to maintain power system stable under small signal disturbance is a big challenge for power system operators and dispatchers. Time delay existing in signal transmission process makes the problem more complex. Conventional eigenvalue analysis method neglects time delay influence and can not precisely describe power system dynamic behaviors. In this work, a modified small signal stability model considering time varying delay influence was constructed and a new time delay controller was proposed to stabilize power system under disturbance. By Lyapunov-Krasovskii function, the control law in the form of nonlinear matrix inequality （NLMI） was derived. Considering synthesis method limitation for time delay controller at present, both parameter adjustment method by using linear matrix inequality （LMI） solver and iteration searching method by solving nonlinear minimization problem were suggested to design the controller. Simulation tests were carried out on synchronous-machine infinite-bus power system. Satisfactory test results verify the correctness of the proposed model and the feasibility of the stabilization approach.
