直流微电网中常常含有恒功率负载(constant power loads,CPLs),其负阻抗特性会降低系统的稳定性,造成直流母线电压波动甚至崩溃。因此,首先建立了直流微电网的小信号模型,使用根轨迹法分析了恒功率负载对系统稳定性的影响;其次提出一种...直流微电网中常常含有恒功率负载(constant power loads,CPLs),其负阻抗特性会降低系统的稳定性,造成直流母线电压波动甚至崩溃。因此,首先建立了直流微电网的小信号模型,使用根轨迹法分析了恒功率负载对系统稳定性的影响;其次提出一种基于混合灵敏度优化的电压控制策略,提升了直流微电网系统的稳定性,并采用改进粒子群优化(particle swarm optimization,PSO)算法对权函数进行了优化,进一步提升了鲁棒控制器的性能;最后采用Matlab/Simulink仿真算例进行验证,仿真结果表明提出的鲁棒控制器减小了母线电压的波动,有效提升了直流微电网系统的稳定性。展开更多
This article presents an event-triggered H_(∞) consensus control scheme using reinforcement learning (RL) for nonlinear second-order multi-agent systems (MASs) with control constraints. First, considering control con...This article presents an event-triggered H_(∞) consensus control scheme using reinforcement learning (RL) for nonlinear second-order multi-agent systems (MASs) with control constraints. First, considering control constraints, the constrained H_(∞) consensus problem is transformed into a multi-player zero-sum game with non-quadratic performance functions. Then, an event-triggered control method is presented to conserve communication resources and a new triggering condition is developed for each agent to make the triggering threshold independent of the disturbance attenuation level. To derive the optimal controller that can minimize the cost function in the case of worst disturbance, a constrained Hamilton–Jacobi–Bellman (HJB) equation is defined. Since it is difficult to solve analytically due to its strongly non-linearity, reinforcement learning (RL) is implemented to obtain the optimal controller. In specific, the optimal performance function and the worst-case disturbance are approximated by a time-triggered critic network;meanwhile, the optimal controller is approximated by event-triggered actor network. After that, Lyapunov analysis is utilized to prove the uniformly ultimately bounded (UUB) stability of the system and that the network weight errors are UUB. Finally, a simulation example is utilized to demonstrate the effectiveness of the control strategy provided.展开更多
近年来,阻尼力与位移呈线性关系的新型调谐质量阻尼器(Tuned mass damper, TMD)相继出现,其参数分析优化原理大部分属于动力数值分析缺乏理论参数优化指导。该文对白噪声作用下具有上述特性的TMD,即滞变阻尼调谐质量阻尼器(Hysteretic d...近年来,阻尼力与位移呈线性关系的新型调谐质量阻尼器(Tuned mass damper, TMD)相继出现,其参数分析优化原理大部分属于动力数值分析缺乏理论参数优化指导。该文对白噪声作用下具有上述特性的TMD,即滞变阻尼调谐质量阻尼器(Hysteretic damping tuned mass damper, HD-TMD)进行减振优化研究。总结了HD-TMD的力学机理并推导出相应的结构-HD-TMD系统运动方程;提出适用于HD-TMD的H_(2)优化和性能平衡设计,并通过数值拟合技术得到了最优参数公式和基于容忍度的性能平衡设计流程;以真实可用的变摩擦摆式调谐质量阻尼器(VFP-TMD)为HD-TMD的实际算例,检验所提出的优化方法对风振激励的减振性能影响。结果表明:H_(2)优化和性能平衡设计下的HD-TMD可以提供略优于传统黏滞阻尼TMD的控制效果。H_(2)优化的最优参数能使HD-TMD发挥最大的潜能从而实现最好的减振率,但面临VFP-TMD行程过大导致的摆动非线性问题。性能平衡设计下的最优参数可以控制VFP-TMD行程在线性范围内,同时发挥出良好且稳定的减振控制效果实现双赢。与最优参数公式结果相比,性能平衡设计的峰值减振率和均方差峰值减振率仅损失3.19%和0.74%。展开更多
文摘直流微电网中常常含有恒功率负载(constant power loads,CPLs),其负阻抗特性会降低系统的稳定性,造成直流母线电压波动甚至崩溃。因此,首先建立了直流微电网的小信号模型,使用根轨迹法分析了恒功率负载对系统稳定性的影响;其次提出一种基于混合灵敏度优化的电压控制策略,提升了直流微电网系统的稳定性,并采用改进粒子群优化(particle swarm optimization,PSO)算法对权函数进行了优化,进一步提升了鲁棒控制器的性能;最后采用Matlab/Simulink仿真算例进行验证,仿真结果表明提出的鲁棒控制器减小了母线电压的波动,有效提升了直流微电网系统的稳定性。
文摘This article presents an event-triggered H_(∞) consensus control scheme using reinforcement learning (RL) for nonlinear second-order multi-agent systems (MASs) with control constraints. First, considering control constraints, the constrained H_(∞) consensus problem is transformed into a multi-player zero-sum game with non-quadratic performance functions. Then, an event-triggered control method is presented to conserve communication resources and a new triggering condition is developed for each agent to make the triggering threshold independent of the disturbance attenuation level. To derive the optimal controller that can minimize the cost function in the case of worst disturbance, a constrained Hamilton–Jacobi–Bellman (HJB) equation is defined. Since it is difficult to solve analytically due to its strongly non-linearity, reinforcement learning (RL) is implemented to obtain the optimal controller. In specific, the optimal performance function and the worst-case disturbance are approximated by a time-triggered critic network;meanwhile, the optimal controller is approximated by event-triggered actor network. After that, Lyapunov analysis is utilized to prove the uniformly ultimately bounded (UUB) stability of the system and that the network weight errors are UUB. Finally, a simulation example is utilized to demonstrate the effectiveness of the control strategy provided.
文摘近年来,阻尼力与位移呈线性关系的新型调谐质量阻尼器(Tuned mass damper, TMD)相继出现,其参数分析优化原理大部分属于动力数值分析缺乏理论参数优化指导。该文对白噪声作用下具有上述特性的TMD,即滞变阻尼调谐质量阻尼器(Hysteretic damping tuned mass damper, HD-TMD)进行减振优化研究。总结了HD-TMD的力学机理并推导出相应的结构-HD-TMD系统运动方程;提出适用于HD-TMD的H_(2)优化和性能平衡设计,并通过数值拟合技术得到了最优参数公式和基于容忍度的性能平衡设计流程;以真实可用的变摩擦摆式调谐质量阻尼器(VFP-TMD)为HD-TMD的实际算例,检验所提出的优化方法对风振激励的减振性能影响。结果表明:H_(2)优化和性能平衡设计下的HD-TMD可以提供略优于传统黏滞阻尼TMD的控制效果。H_(2)优化的最优参数能使HD-TMD发挥最大的潜能从而实现最好的减振率,但面临VFP-TMD行程过大导致的摆动非线性问题。性能平衡设计下的最优参数可以控制VFP-TMD行程在线性范围内,同时发挥出良好且稳定的减振控制效果实现双赢。与最优参数公式结果相比,性能平衡设计的峰值减振率和均方差峰值减振率仅损失3.19%和0.74%。
