公开(公告)号：US20130030554A1

公开(公告)日：2013-01-31

申请号：US13192233

申请日：2011-07-27

申请人： WARD MACARTHUR ,  RANGANATHAN SRINIVASAN ,  SRIRAM HALLIHOLE ,  MADHUKAR MADHAVAMURTHY GUNDAPPA ,  SANJAY KANTILAL DAVE ,  SUJIT GAIKWAD ,  SACHI DASH

发明人： WARD MACARTHUR ,  RANGANATHAN SRINIVASAN ,  SRIRAM HALLIHOLE ,  MADHUKAR MADHAVAMURTHY GUNDAPPA ,  SANJAY KANTILAL DAVE ,  SUJIT GAIKWAD ,  SACHI DASH

IPC分类号： G05B13/02

CPC分类号： G05B17/02 ,  G05B13/048

摘要： A model predictive controller (MPC) for controlling physical processes includes a non-linear control section that includes a memory that stores a non-linear (NL) model that is coupled to a linearizer that provides at least one linearized model, and a linear control section that includes a memory that stores a linear model. A controller engine is coupled to receive both the linearized model and linear model. The MPC includes a switch that in one position causes the controller engine to operate in a linear mode utilizing the linear model to implement linear process control and in another position causes the controller engine to operate in a NL mode utilizing the linearized model to implement NL process control. The switch can be an automatic switch configured for automatically switching between linear process control and NL process control.

摘要翻译： 用于控制物理过程的模型预测控制器（MPC）包括非线性控制部分，其包括存储耦合到提供至少一个线性化模型的线性化器的非线性（NL）模型的存储器，以及线性控制 该部分包括存储线性模型的内存。 控制器引擎被耦合以接收线性化模型和线性模型。 MPC包括开关，其在一个位置使得控制器引擎利用线性模型在线性模式下操作以实现线性过程控制，并且在另一位置使得控制器引擎利用线性化模型在NL模式下操作以实现NL过程 控制。 开关可以是一个自动开关，用于在线性过程控制和NL过程控制之间进行自动切换。

公开(公告)号：US20070073422A1

公开(公告)日：2007-03-29

申请号：US11238304

申请日：2005-09-29

申请人： Sujit Gaikwad ,  Sachi Dash ,  Konstantinos Tsakalis

发明人： Sujit Gaikwad ,  Sachi Dash ,  Konstantinos Tsakalis

IPC分类号： G05B13/02

CPC分类号： G05B11/42 ,  G05B13/024

摘要： A method to automatically tune control systems, the method comprising selecting a target loop transfer function for at least one plant subsystem in response to an input excitation, selecting at least one fit-error criterion for a plant subsystem transfer function, and automatically inputting the input excitation and tuning the plant subsystem transfer function to the target loop transfer function. The tuning includes automatically selecting a bandwidth of the plant subsystem transfer function from a plurality of bandwidths determined in accordance with limits of the plant subsystem, inputting the input excitation to the plant subsystem, determining the fit-error of the plant subsystem transfer function to the target loop transfer function in response to the input excitation, and continuing the selecting of a bandwidth in accordance with the fit-error criterion.

摘要翻译： 一种自动调整控制系统的方法，所述方法包括响应于输入激励为至少一个工厂子系统选择目标循环传递函数，为工厂子系统传递函数选择至少一个拟合误差准则，并自动输入输入 激励和调整工厂子系统传递函数到目标循环传递函数。 调谐包括根据工厂子系统的极限确定的多个带宽自动选择工厂子系统传递函数的带宽，将输入激励输入到工厂子系统，确定工厂子系统传递函数的拟合误差到 响应于输入激励的目标循环传递函数，以及根据拟合误差准则继续选择带宽。

公开(公告)号：US20050222747A1

公开(公告)日：2005-10-06

申请号：US10815036

申请日：2004-03-30

申请人： Mohamad Vhora ,  Sachi Dash ,  Sujit Gaikwad ,  Dale Mukavetz

发明人： Mohamad Vhora ,  Sachi Dash ,  Sujit Gaikwad ,  Dale Mukavetz

IPC分类号： G05B23/02 ,  G06F19/00

CPC分类号： G05B23/0254 ,  G05B23/0281

摘要： A method of monitoring turbine engines used in aircraft from sensor signals from an engine for a predetermined set of engine characteristics. The signals are transmitted to a nonlinear engine model that predicts the output values for the given set of engine characteristics. The model generates residuals by calculating the difference between the actual values and the predicted values for each member of the set. The generated residuals are evaluated to estimate bounds of uncertainties as indicative of sensor noise. Incoming residuals from ongoing actual engine values are continuously tested against the bounds. A fault is signaled for each of the set of characteristics when a detected bound is exceeded. A computer is used to calculate the fault residual for each of the set of characteristics and the closest fault residual is selected as a diagnosed fault.

摘要翻译： 一种监测来自发动机的传感器信号的用于飞机的涡轮发动机的方法，用于预定的一组发动机特性。 信号被传送到非线性发动机模型，该非线性发动机模型预测给定的发动机特性集合的输出值。 该模型通过计算实际值和集合中每个成员的预测值之间的差异来生成残差。 评估产生的残差以估计传感器噪声的不确定性界限。 来自持续实际发动机值的进场残差根据界限持续测试。 当超出检测到的边界时，针对该组特征中的每一个发出故障。 计算机用于计算每组特征的故障残差，并选择最接近的故障残差作为诊断故障。

公开(公告)号：US08649884B2

公开(公告)日：2014-02-11

申请号：US13192233

申请日：2011-07-27

申请人： Ward MacArthur ,  Ranganathan Srinivasan ,  Sriram Hallihole ,  Madhukar Madhavamurthy Gundappa ,  Sanjay Kantilal Dave ,  Sujit Gaikwad ,  Sachi Dash

发明人： Ward MacArthur ,  Ranganathan Srinivasan ,  Sriram Hallihole ,  Madhukar Madhavamurthy Gundappa ,  Sanjay Kantilal Dave ,  Sujit Gaikwad ,  Sachi Dash

IPC分类号： G05B13/04

CPC分类号： G05B17/02 ,  G05B13/048

摘要： A model predictive controller (MPC) for controlling physical processes includes a non-linear control section that includes a memory that stores a non-linear (NL) model that is coupled to a linearizer that provides at least one linearized model, and a linear control section that includes a memory that stores a linear model. A controller engine is coupled to receive both the linearized model and linear model. The MPC includes a switch that in one position causes the controller engine to operate in a linear mode utilizing the linear model to implement linear process control and in another position causes the controller engine to operate in a NL mode utilizing the linearized model to implement NL process control. The switch can be an automatic switch configured for automatically switching between linear process control and NL process control.

摘要翻译： 用于控制物理过程的模型预测控制器（MPC）包括非线性控制部分，其包括存储耦合到提供至少一个线性化模型的线性化器的非线性（NL）模型的存储器，以及线性控制 该部分包括存储线性模型的内存。 控制器引擎被耦合以接收线性化模型和线性模型。 MPC包括开关，其在一个位置使得控制器引擎利用线性模型在线性模式下操作以实现线性过程控制，并且在另一位置使得控制器引擎利用线性化模型在NL模式下操作以实现NL过程 控制。 开关可以是一个自动开关，用于在线性过程控制和NL过程控制之间进行自动切换。