公开(公告)号：US6055524A

公开(公告)日：2000-04-25

申请号：US944450

申请日：1997-10-06

Applicant: George Shu-Xing Cheng

Inventor： George Shu-Xing Cheng

IPC: G06N3/00 ,  G05B13/02 ,  G06N3/063 ,  G06N3/04

CPC classification number: G05B13/027 ,  G06N3/0635

Abstract: A model-free adaptive controller is disclosed, which uses a dynamic artificial neural network with a learning algorithm to control any single-variable or multivariable open-loop stable, controllable, and consistently direct-acting or reverse-acting industrial process without requiring any manual tuning, quantitative knowledge of the process, or process identifiers. The need for process knowledge is avoided by substituting 1 for the actual sensitivity function .differential.y(t)/.differential.u(t) of the process.

Abstract translation: 公开了一种无模型自适应控制器，其使用具有学习算法的动态人造神经网络来控制任何单变量或多变量开环稳定，可控制和一致的直接作用或反向作用的工业过程，而不需要任何手动 调整，定量知识的过程或过程标识符。 通过将1替换为过程的实际灵敏度函数DIFFERENTIAL y（t）/差分u（t）来避免对过程知识的需求。

公开(公告)号：US08594813B2

公开(公告)日：2013-11-26

申请号：US12853832

申请日：2010-08-10

Applicant: George Shu-Xing Cheng ,  Steven L. Mulkey ,  Qiang Wang ,  Andrew J. Chow

Inventor： George Shu-Xing Cheng ,  Steven L. Mulkey ,  Qiang Wang ,  Andrew J. Chow

IPC: G06F19/00

CPC classification number: G05B13/02

Abstract: A method and apparatus for intelligently controlling continuous process variables. A Dream Controller comprises an Intelligent Engine mechanism and a number of Model-Free Adaptive (MFA) controllers, each of which is suitable to control a process with specific behaviors. The Intelligent Engine can automatically select the appropriate MFA controller and its parameters so that the Dream Controller can be easily used by people with limited control experience and those who do not have the time to commission, tune, and maintain automatic controllers.

Abstract translation: 一种用于智能控制连续过程变量的方法和装置。 智能控制器包括智能引擎机制和许多无模型自适应（MFA）控制器，每个控制器都适用于控制具有特定行为的过程。 智能引擎可以自动选择适当的MFA控制器及其参数，以便Dream Controller能够轻松地使用具有有限控制经验的人员以及没有时间调试和调整自动控制器的人员。

公开(公告)号：US20120313443A1

公开(公告)日：2012-12-13

申请号：US13493622

申请日：2012-06-11

Applicant: George Shu-Xing Cheng ,  Steven L. Mulkey ,  Andrew J. Chow

Inventor： George Shu-Xing Cheng ,  Steven L. Mulkey ,  Andrew J. Chow

IPC: H02M7/44 ,  H02J1/00

CPC classification number: H02J3/383 ,  H02J3/46 ,  H02M7/48 ,  H02M2001/007 ,  Y02B10/14 ,  Y02E10/563 ,  Y10T307/707

Abstract: A method and apparatus is disclosed for intelligently inverting DC power from DC sources such as photovoltaic (PV) solar modules to single-phase or three-phase AC power to supply power for off-grid applications. A number of regular or redundant off-grid Mini-Inverters with one, two, three, or multiple input channels in a mixed variety can easily connect to one, two, three, or multiple DC power sources such as solar PV modules, invert the DC power to AC power, and daisy chain together to generate and supply AC power to electrical devices that are not connected to the power grid including motors, pumps, fans, lights, appliances, and homes.

Abstract translation: 公开了一种用于智能地将来自诸如光伏（PV）太阳能模块的直流电源的直流电力逆变成单相或三相AC电力以为离网应用供电的方法和装置。 一些具有一个，两个，三个或多个混合变量的输入通道的常规或冗余离网小型变频器可以轻松连接到一个，两个，三个或多个直流电源，如太阳能光伏组件，将 直流电源到交流电源，并菊花链在一起，为未连接到电网的电气设备生成并提供交流电源，包括电机，泵，风扇，灯，电器和家庭。

公开(公告)号：US07415446B2

公开(公告)日：2008-08-19

申请号：US10969485

申请日：2004-10-19

Applicant: George Shu-Xing Cheng ,  Steven L. Mulkey

Inventor： George Shu-Xing Cheng ,  Steven L. Mulkey

IPC: G06N5/00

CPC classification number: G05B13/021

Abstract: An apparatus and method is disclosed for solving optimization problems without the need to build mathematical models or rules. The inventive method combines the structure of a single-loop feedback control system and optimization search engine mechanisms. Running in real-time, a Model-Free Adaptive (MFA) optimizer can automatically search for the optimal operating point for a dynamic system when a parabolic relationship exists between the input and output. The MFA optimizer comprises a user-selected Min/Max setter to define the searching objective, a process acting-mode search engine to determine if the process is running in direct-acting or reverse-acting mode, a maximum search engine and a minimum search engine to find the maximum or minimum. This apparatus and method is useful in fuel-and-air ratio optimization for combustion processes, yield optimization for chemical or biological reactors, and operating efficiency optimization for coal or ore ball mills.

Abstract translation: 公开了用于解决优化问题而不需要构建数学模型或规则的装置和方法。 本发明的方法结合了单环反馈控制系统的结构和优化搜索引擎机制。 无模式自适应（MFA）优化器可以实时运行，在输入和输出之间存在抛物线关系时，可以自动搜索动态系统的最优工作点。 MFA优化器包括用户选择的最小/最大设置器来定义搜索目标，过程执行模式搜索引擎，以确定进程是以直接动作还是反向作用模式运行，最大搜索引擎和最小搜索 发动机找到最大或最小。 该装置和方法可用于燃烧过程的燃料和空气比优化，用于化学或生物反应器的产量优化以及用于煤或矿石球磨机的操作效率优化。

公开(公告)号：US07152052B2

公开(公告)日：2006-12-19

申请号：US10916084

申请日：2004-08-11

Applicant: George Shu-Xing Cheng

Inventor： George Shu-Xing Cheng

IPC: G05B13/02

CPC classification number: G05B11/32 ,  G05B13/027

Abstract: An apparatus and method is disclosed for automatically controlling single-input-multi-output (SIMO) systems or processes. The control output signals of a plurality of single-input-single-output (SISO) automatic controllers are combined by a combined output setter so that these SISO controllers are converted to a multi-input-single-output (MISO) automatic controller based on certain criteria; and its resulting controller output signal is able to manipulate only one actuator to control a plurality of continuous process variables or attempt to minimize a plurality of error signals between the setpoints and their corresponding process variables. Without the need of building process mathematical models, this inventive apparatus and method is useful for automatically controlling unevenly paired multivariable systems or processes where there are less system inputs than outputs including but not limited to industrial furnaces, rapid thermal processing (RTP) chambers, chemical mechanical planarization (CMP) systems, and distillation columns.

Abstract translation: 公开了一种用于自动控制单输入多输出（SIMO）系统或过程的装置和方法。 多个单输入单输出（SISO）自动控制器的控制输出信号由组合输出设置器组合，使得这些SISO控制器转换为基于多输入单输出（MISO）的多输入单输出（MISO）自动控制器 某些标准 并且其所得到的控制器输出信号能够仅操纵一个致动器来控制多个连续的过程变量，或尝试最小化设定点与它们对应的过程变量之间的多个误差信号。 不需要构建过程数学模型，本发明的装置和方法对于自动控制不均匀配对的多变量系统或过程是有用的，其中系统输入比输出少，包括但不限于工业炉，快速热处理（RTP）室，化学 机械平面化（CMP）系统和蒸馏塔。

公开(公告)号：US06684112B1

公开(公告)日：2004-01-27

申请号：US09832379

申请日：2001-04-11

Applicant: George Shu-Xing Cheng

Inventor： George Shu-Xing Cheng

IPC: G05B1302

CPC classification number: G05B13/026 ,  G05B13/024

Abstract: A Robust Model-Free Adaptive controller is disclosed for effectively controlling simple to complex systems including industrial processes, equipment, facilities, devices, engines, robots, vehicles, and appliances. Without the need of re-designing a controller or re-tuning the controller parameters, the inventive controller is able to provide a wide robust range and keep the system under automatic control during normal and extreme operating conditions when there are significant disturbances or changes in system dynamics. Because of its simplicity and capability, the control system is useful for building flexible and adaptive production systems to fulfill the on demand manufacturing needs of the new e-commerce environment.

Abstract translation: 公开了一种强大的无模型自适应控制器，用于有效地控制包括工业过程，设备，设备，设备，发动机，机器人，车辆和设备在内的简单复杂的系统。 在不需要重新设计控制器或重新调整控制器参数的情况下，本发明的控制器能够提供广泛的鲁棒范围，并且在正常和极端操作条件下保持系统在自动控制下，当有明显的干扰或系统变化时 动力学。 由于其简单性和能力，控制系统对于建立灵活适应的生产系统来满足新的电子商务环境的按需制造需求是有用的。

公开(公告)号：US06556980B1

公开(公告)日：2003-04-29

申请号：US09143165

申请日：1998-08-28

Applicant: George Shu-Xing Cheng

Inventor： George Shu-Xing Cheng

IPC: G06N302

CPC classification number: G05B13/027

Abstract: An enhanced model-free adaptive controller is disclosed, which consists of a linear dynamic neural network that can be easily configured and put in automatic mode to control simple to complex processes. Two multivariable model-free adaptive controller designs are disclosed. An enhanced anti-delay model-free adaptive controller is introduced to control processes with large time delays. A feedforward/feedback model-free adaptive control system with two designs is introduced to compensate for measurable disturbances.

Abstract translation: 公开了一种增强的无模型自适应控制器，由一个线性动态神经网络组成，可以轻松配置并置于自动模式下，控制简单到复杂的过程。 公开了两种多变量模型自适应控制器设计。 引入增强的抗延迟模型自适应控制器来控制具有大时延的过程。 引入了具有两种设计的前馈/反馈模型自适应控制系统来补偿可测量的干扰。

公开(公告)号：US06360131B1

公开(公告)日：2002-03-19

申请号：US09174156

申请日：1998-10-16

Applicant: George Shu-Xing Cheng

Inventor： George Shu-Xing Cheng

IPC: G05B1302

CPC classification number: G05B11/32 ,  G05B13/026

Abstract: A flexible multifunction model-free adaptive controller capable of controlling a very broad range of processes uses storage and selective use of multiple controller parameter sets, measurement filtering, transient prediction and use of extra controllers to dynamically set constraints for the output of the process controller in order to deal with transients resulting from sudden input changes, yet allow the process to run close to its physical limitations under dynamically varying operating conditions and periodic large processing parameter changes.

Abstract translation: 灵活的多功能无模型自适应控制器能够控制非常广泛的过程，它们使用存储和选择性使用多个控制器参数集，测量过滤，瞬态预测和使用额外的控制器来动态地设置过程控制器输出的约束 为了处理由突然的输入变化导致的瞬变，但是允许该过程在动态变化的操作条件和周期性的大的处理参数变化的情况下接近其物理限制。