To eliminate the node traction coupling during wind turbine blade full-scale static testing,a model free adaptive control algorithm is presented based on fuzzy control performance function compensation. Based on the u...To eliminate the node traction coupling during wind turbine blade full-scale static testing,a model free adaptive control algorithm is presented based on fuzzy control performance function compensation. Based on the universal model theory,the fuzzy model free adaptive control( FMFAC) algorithm is designed by configuring the spot static testing experiences as compensation function F( ·). Then the algorithm implementation process is provided and its quick convergence is proved. Using software to establish static load coupling model of multi-nodes,simulate and verify the validity of FMFAC algorithm,which is applied to wind turbines blade full-scale static testing. The results show that the adaptive decoupling ability of FMFAC is better. The traction of four load points can stay steady and change coordinately. Process error is not over ± 6 k N. The error rate is lower than 1% in special phase.This algorithm effectively eliminates the traction coupling of the static testing process,and makes wind turbine blade testing steadily.展开更多
Active stability augmentation system is an attractive and promising technology to suppress flutter and limit cycle oscillation (LCO). In order to design a good active control law, the control plant model with low orde...Active stability augmentation system is an attractive and promising technology to suppress flutter and limit cycle oscillation (LCO). In order to design a good active control law, the control plant model with low order and high accuracy must be provided, which is one of the most important key points. The traditional model is based on low fidelity aerodynamics model such as panel method, which is unsuitable for transonic flight regime. The physics-based high fidelity tools, reduced order model (ROM) and CFD/CSD coupled aeroservoelastic solver are used to design the active control law. The Volterra/ROM is applied to constructing the low order state space model for the nonlinear unsteady aerodynamics and static output feedback method is used to active control law design. The detail of the new method is demonstrated by the Goland+ wing/store system. The simulation results show that the effectiveness of the designed active augmentation system, which can suppress the flutter and LCO successfully.展开更多
With the development of activated sludge model, the simulation software for the design and operation of wastewater treatment plant （WWTP） was produced and has been widely used. The dynamic change of the quality and ...With the development of activated sludge model, the simulation software for the design and operation of wastewater treatment plant （WWTP） was produced and has been widely used. The dynamic change of the quality and flow of influent are major factors causing the unstable operation of wastewater treatment process. As a basic model, ASMI model was used for the simulation of activated sludge process, and double exponential model was selected for the simulation of secondary sedimentation tank. The influences of influent change to the aeration tank and secondary sedimentation tank were investigated, and the relationship among influent change, the quality of effluent and the level of sludge blanket in secondary sedimentation tank was established. On the basis of the simulation results, the operation of the WWTP could be adjusted under the dynamic change of the influent. Furthermore, the controlling strategy combined the feed-forward on the influent flow and the feedback on the level of sludge blanket in the secondary sedimentation tank was studied.展开更多
针对一种适用于斜坡极点平衡的自平衡机器人,提出了一种递推最小二乘法参数辨识和模型预测控制(Recursive least squares and model predictive control, RLS-MPC)相结合的方法,以实现自平衡机器人在不同斜坡极点的静态平衡控制。该方...针对一种适用于斜坡极点平衡的自平衡机器人,提出了一种递推最小二乘法参数辨识和模型预测控制(Recursive least squares and model predictive control, RLS-MPC)相结合的方法,以实现自平衡机器人在不同斜坡极点的静态平衡控制。该方法使用递推最小二乘(Recursive least squares,RLS)法辨识系统状态参数,并与模型预测控制(Model predictive control, MPC)方法相结合,解决了自平衡机器人在斜坡极点平衡时状态参数未知的控制问题。同时,对闭环系统进行了基于Lyapunov的稳定性分析。最后通过与线性二次调节器(Linear quadratic regulator, LQR)和MPC方法进行数值仿真对比和性能指标对比,结果表明所提出的RLS-MPC控制方法相较于传统的LQR和MPC方法,不仅趋于稳定时间短,而且精度更高,能有效地改善自平衡机器人的控制性能。展开更多
针对风机叶片静力加载试验时各个加载点之间存在加载力耦合,加载力抖动影响精度甚至损坏叶片,研究了多点风电叶片静力加载模型及解耦控制。分析多点加载下叶片变形耦合,利用悬臂梁模型推导了多点加载下叶片变形耦合矩阵关系式,并结合变...针对风机叶片静力加载试验时各个加载点之间存在加载力耦合,加载力抖动影响精度甚至损坏叶片,研究了多点风电叶片静力加载模型及解耦控制。分析多点加载下叶片变形耦合,利用悬臂梁模型推导了多点加载下叶片变形耦合矩阵关系式,并结合变频调速控制液压系统,建立了两点耦合加载系统的仿真模型,设计了解耦控制器及自适应模糊PID控制算法,减少各个节点的牵引力耦合,实现叶片多节点全尺寸静力加载试验。仿真表明解耦控制器很好地解决多点耦合,加载曲线振荡现象明显减少,节点最大误差为2.3%。试验进一步证明:叶片加载过程中加载点牵引力能保持平稳、协调变化,加载保持阶段的偏差维持在±0.1 k N,降低了加载过程中牵引力耦合,获得较好的控制效果,满足风机叶片静力加载试验要求。展开更多
为实现静止无功发生器SVG(Static Var Generator)良好的控制性能,从SVG的工作机理动态性能出发,引入逻辑开关函数建立SVC的动态数学模型,在该模型基础上提出了一种预测电流控制的方案。该控制方法是利用当前采样时刻的状态信息,预测下...为实现静止无功发生器SVG(Static Var Generator)良好的控制性能,从SVG的工作机理动态性能出发,引入逻辑开关函数建立SVC的动态数学模型,在该模型基础上提出了一种预测电流控制的方案。该控制方法是利用当前采样时刻的状态信息,预测下一个采样周期补偿电流的轨迹,计算出逆变器输出的电压参考值,将其作为空间矢量PWM调制的输入,确定开关函数,产生与参考值相当的电压,最终达到预测补偿的目的。Matlab仿真结果表明:该控制方法对预测补偿SVG的无功电流具有有效性和可行性。展开更多
基金National Natural Science Foundation of China(No.51567018)
文摘To eliminate the node traction coupling during wind turbine blade full-scale static testing,a model free adaptive control algorithm is presented based on fuzzy control performance function compensation. Based on the universal model theory,the fuzzy model free adaptive control( FMFAC) algorithm is designed by configuring the spot static testing experiences as compensation function F( ·). Then the algorithm implementation process is provided and its quick convergence is proved. Using software to establish static load coupling model of multi-nodes,simulate and verify the validity of FMFAC algorithm,which is applied to wind turbines blade full-scale static testing. The results show that the adaptive decoupling ability of FMFAC is better. The traction of four load points can stay steady and change coordinately. Process error is not over ± 6 k N. The error rate is lower than 1% in special phase.This algorithm effectively eliminates the traction coupling of the static testing process,and makes wind turbine blade testing steadily.
基金National Natural Science Foundation of China (10902082)New Faculty Research Foundation of XJTUthe Fundamental Research Funds for the Central Universities (xjj20100126)
文摘Active stability augmentation system is an attractive and promising technology to suppress flutter and limit cycle oscillation (LCO). In order to design a good active control law, the control plant model with low order and high accuracy must be provided, which is one of the most important key points. The traditional model is based on low fidelity aerodynamics model such as panel method, which is unsuitable for transonic flight regime. The physics-based high fidelity tools, reduced order model (ROM) and CFD/CSD coupled aeroservoelastic solver are used to design the active control law. The Volterra/ROM is applied to constructing the low order state space model for the nonlinear unsteady aerodynamics and static output feedback method is used to active control law design. The detail of the new method is demonstrated by the Goland+ wing/store system. The simulation results show that the effectiveness of the designed active augmentation system, which can suppress the flutter and LCO successfully.
文摘With the development of activated sludge model, the simulation software for the design and operation of wastewater treatment plant （WWTP） was produced and has been widely used. The dynamic change of the quality and flow of influent are major factors causing the unstable operation of wastewater treatment process. As a basic model, ASMI model was used for the simulation of activated sludge process, and double exponential model was selected for the simulation of secondary sedimentation tank. The influences of influent change to the aeration tank and secondary sedimentation tank were investigated, and the relationship among influent change, the quality of effluent and the level of sludge blanket in secondary sedimentation tank was established. On the basis of the simulation results, the operation of the WWTP could be adjusted under the dynamic change of the influent. Furthermore, the controlling strategy combined the feed-forward on the influent flow and the feedback on the level of sludge blanket in the secondary sedimentation tank was studied.
文摘针对一种适用于斜坡极点平衡的自平衡机器人,提出了一种递推最小二乘法参数辨识和模型预测控制(Recursive least squares and model predictive control, RLS-MPC)相结合的方法,以实现自平衡机器人在不同斜坡极点的静态平衡控制。该方法使用递推最小二乘(Recursive least squares,RLS)法辨识系统状态参数,并与模型预测控制(Model predictive control, MPC)方法相结合,解决了自平衡机器人在斜坡极点平衡时状态参数未知的控制问题。同时,对闭环系统进行了基于Lyapunov的稳定性分析。最后通过与线性二次调节器(Linear quadratic regulator, LQR)和MPC方法进行数值仿真对比和性能指标对比,结果表明所提出的RLS-MPC控制方法相较于传统的LQR和MPC方法,不仅趋于稳定时间短,而且精度更高,能有效地改善自平衡机器人的控制性能。
文摘针对风机叶片静力加载试验时各个加载点之间存在加载力耦合,加载力抖动影响精度甚至损坏叶片,研究了多点风电叶片静力加载模型及解耦控制。分析多点加载下叶片变形耦合,利用悬臂梁模型推导了多点加载下叶片变形耦合矩阵关系式,并结合变频调速控制液压系统,建立了两点耦合加载系统的仿真模型,设计了解耦控制器及自适应模糊PID控制算法,减少各个节点的牵引力耦合,实现叶片多节点全尺寸静力加载试验。仿真表明解耦控制器很好地解决多点耦合,加载曲线振荡现象明显减少,节点最大误差为2.3%。试验进一步证明:叶片加载过程中加载点牵引力能保持平稳、协调变化,加载保持阶段的偏差维持在±0.1 k N,降低了加载过程中牵引力耦合,获得较好的控制效果,满足风机叶片静力加载试验要求。
文摘为实现静止无功发生器SVG(Static Var Generator)良好的控制性能,从SVG的工作机理动态性能出发,引入逻辑开关函数建立SVC的动态数学模型,在该模型基础上提出了一种预测电流控制的方案。该控制方法是利用当前采样时刻的状态信息,预测下一个采样周期补偿电流的轨迹,计算出逆变器输出的电压参考值,将其作为空间矢量PWM调制的输入,确定开关函数,产生与参考值相当的电压,最终达到预测补偿的目的。Matlab仿真结果表明:该控制方法对预测补偿SVG的无功电流具有有效性和可行性。
