Class / Patent application number | Description | Number of patent applications / Date published |
700044000 | Feed-forward (e.g., predictive) | 33 |
20080228292 | System and method for pre-distorting a device input - A method for pre-distorting an input for a device is provided. A partial set of known data pairs is acquired during a closed-loop device calibration period. The partial set of known data pairs is searched for at least one missing data pair, and at least one data value is interpolated for the missing data pair. An augmented set of data pairs, including the known data pairs and the interpolated data value, is stored in a lookup table. During an open-loop operation period subsequent to the closed-loop device calibration period, the device input is pre-distorted based on the augmented set of data pairs stored in the lookup table. | 09-18-2008 |
20090005888 | Configurable advanced process control - Systems and methods associated with configurable advanced process control (APC) application development are described. One embodiment includes a computing system that includes configuration files corresponding to APC clients. The computing system also includes computational models corresponding to the configuration files. The computing system also includes a Rapid Advanced Control Enabler (RACE). A RACE may select a configuration file to process based, at least in part, on a request received from an APC client. A RACE may also dynamically load a computational model that corresponds to the selected configuration file. A RACE may also execute the dynamically loaded computational model and provide a response to the APC client from which the request was received. | 01-01-2009 |
20090005889 | MODEL PREDICTIVE CONTROL SYSTEM AND METHOD FOR REDUCTION OF STEADY STATE ERROR - A technique is disclosed for reducing an error in a controlled variable via model predictive control. A predicted error in the controlled variable is determined for a forward-looking control horizon based upon measured or computed variables. The integral of the predicted error is computed. If the error or the integral exceed a tolerance for a determined time period, the model predictive control algorithm is modified to drive the error or the integral to within a tolerance. The modifications to the control algorithm may include changes to coefficients for terms based upon the error and/or the integral of the error. | 01-01-2009 |
20090088872 | Method and apparatus for producing a linearized amplified continuous wave (CW) signal - In one embodiment, at least one parameter set for at least one harmonic of a continuous wave (CW) signal is digitally generated in response to a parameter set for the CW signal. In response to the parameter set for the CW signal, the CW signal is synthesized; and in response to the at least one parameter set for the at least one harmonic of the CW signal, at least one nulling tone is synthesized. The CW signal and the at least one nulling tone are amplified; and the amplified CW signal and the at least one amplified nulling tone are summed to produce a linearized amplified CW signal. Other embodiments are also described. | 04-02-2009 |
20090099667 | PLANT CONTROLLING DEVICE AND METHOD, THERMAL POWER PLANT, AND ITS CONTROL METHOD - In a controlling device that uses a model for simulating characteristics of a control target to learn a method of generating a model input that satisfies a target model output value and generates an operation signal according to a learning result, a target model output value for satisfying an operation target value is determined from measured signals from the control target. | 04-16-2009 |
20090118842 | Manufacturing prediction server - In one embodiment, a method for providing predictions pertaining to a future state of a manufacturing facility includes collecting data from various source systems in a manufacturing facility, and generating predictions pertaining to a future state of the manufacturing facility based on the collected data. The method further includes providing the predictions to recipient systems in the manufacturing facility. | 05-07-2009 |
20090222109 | POSITION CONTROL APPARATUS INCLUDING ITERATIVE LEARNING CIRCUIT, EXPOSURE APPARATUS, METHOD FOR MANUFACTURING DEVICE, AND ITERATIVE LEARNING METHOD FOR USE IN POSITION CONTROL APPARATUS HAVING ITERATIVE LEARNING CIRCUIT INCLUDING LEARNING FILTER - A position control apparatus includes a detecting unit configured to detect a position of a control target, a subtracting unit configured to subtract an output of the detecting unit from a target value, an iterative learning control circuit including a filter into which a deviation between the output of the detecting unit and the target value is input, where the iterative learning control circuit feeds forward a control input to the control target, and a parameter computing unit configured to compute a variation in a parameter of the control target. A characteristic of the filter is computed in accordance with the variation in the parameter of the control target. | 09-03-2009 |
20090259323 | ADSORPTION CONTROL METHOD - A method of controlling a pressure swing adsorption unit in which a manipulated variable such as a capacity factor used by such unit in setting the bed cycle time is updated with a manipulated variable computed within a controller. The controller has a feed forward level of control in which the updated manipulated variable is calculated from a probability function when the product is likely to go off spec as determined by the probability function. In such manner, an optimal manipulated variable can be calculated that will maximize recovery in a manner that the probability of the product going off spec will be acceptable. If a specific impurity within the product is above a targeted range, a change to the optimal manipulated variable is computed with the use of a feedback level of control utilizing fuzzy logic. | 10-15-2009 |
20100198371 | CONTROL DEVICE - A control device includes an iterative learning control circuit that includes first and second learning filters to which a synchronization error is input and is configured to feed forward a control input to a first control target based on an output of the first learning filter and to feed forward a control input to a second control target based on an output of the second learning filter. Each of the first and second learning filters includes transfer functions of the first and second control targets and transfer functions of controllers of the first and second control circuits. | 08-05-2010 |
20120173005 | MACHINE CONTROL SYSTEM AND METHOD - A control system for a machine may include a processor configured to communicate with a power source. The processor may also be configured to communicate with a transmission assembly. The processor may be configured to determine whether the power source is in a potential stall condition based at least in part on an actual speed of the power source and a requested speed of the power source. If the power source is in the potential stall condition, the processor may be configured to request that fuel be supplied to the power source although the fuel is not currently required by the power source, in anticipation of an increase in load on the machine. | 07-05-2012 |
20120232679 | CYBERSPACE SECURITY SYSTEM - A system evaluates reliability, performance and/or safety by automatically assessing the targeted system's requirements. A cost metric quantifies the impact of failures as a function of failure cost per unit of time. The metrics or measurements may render real-time (or near real-time) outcomes by initiating active response against one or more high ranked threats. The system may support or may be executed in many domains including physical domains, cyber security domains, cyber-physical domains, infrastructure domains, etc. or any other domains that are subject to a threat or a loss. | 09-13-2012 |
20130274898 | TURBINE FAULT PREDICTION - A system is provided. The system includes an industrial controller configured to control and obtain current parameter data from one or more components of an industrial system. Further, a storage is included and is configured to store historical data comprising parameter data from the one or more components. The system also includes a prediction controller configured to receive the current parameter data from the industrial controller, receive the historical data from the storage, and to generate an overall predictive score based at least in part upon the current parameter data and the historical data. The overall predictive score represents a likelihood of a fault within the industrial process control system. | 10-17-2013 |
20140336791 | PREDICTIVE MAINTENANCE FOR INDUSTRIAL PRODUCTS USING BIG DATA - A cloud-based predictive maintenance service collects industrial data from multiple industrial customers for storage and analysis on a cloud platform. The service analyzes data gathered from multiple customers across different industries to identify operational trends as a function of industry type, application type, equipment in use, device configurations, and other such variables. Based on results of the analysis, the predictive maintenance service predicts anticipated device failures or system inefficiencies for individual customers. Notification services alert the customers of impending failures or inefficiencies before the issues become critical. The cloud-based notification services also notify appropriate technical support entities to facilitate proactive maintenance and device management. | 11-13-2014 |
20150309485 | Autonomous Control Device - An object of the present invention is to provide an autonomous system that realizes expected operation in a form in which the soundness of the operation can be proved to a third party in adaptation to an external factor that dynamically varies and to enhance a working ratio in autonomous operation. The autonomous system is provided with a function for dynamically leading a satisfiable combination of a requirement for the soundness of operation and expected operation on the basis of the information of operating environment acquired via exterior world measurement means, a function for generating control logic for realizing the expected operation, a function for recording the control logic, the requirement for sound operation and the expected operation, and a function for presenting the record in a form in which the third party can read the record. | 10-29-2015 |
20150309506 | APPARATUS AND METHOD FOR PROVIDING A GENERALIZED CONTINUOUS PERFORMANCE INDICATOR - A method includes, using at least one processing device, obtaining multiple diagnostic indicators associated with at least a portion of an industrial process system and combining the diagnostic indicators to form a generalized indicator. Each diagnostic indicator has a value, and the generalized indicator is associated with a position on a continuous scale. The continuous scale could include a color gradient, and the method could include displaying the generalized indicator along the color gradient with a color based on its position. Multiple generalized indicators associated with multiple portions of the process system could be displayed within a torus or circle, and different portions of the torus or circle can be associated with different portions of the process system. Different concentric tori or circles could be associated with different periods of time, and at least one concentric torus or circle could identify a predicted behavior of the process system. | 10-29-2015 |
20160170384 | MODEL PREDICTIVE CONTROLLER AND METHOD WITH CORRECTION PARAMETER TO COMPENSATE FOR TIME LAG | 06-16-2016 |
20160195872 | System for Assisting Operation at the Time of Plant Accident and Method for Assisting Operation at the Time of Plant Accident | 07-07-2016 |
20180024543 | Plant Operation Support-System Server and Plant Operation Support System | 01-25-2018 |
700045000 | Combined with feedback | 15 |
20080200998 | Lithographic apparatus and device manufacturing method - In a lithographic apparatus, a feedforward transfer function of a control system, is determined by: a) iteratively learning a feedforward output signal of the control system by iterative learning control for a given setpoint signal; b) determining a relation between the learned feedforward output signal and the setpoint signal; and c) applying the relation as the feedforward transfer function of the control system. A learned feedforward, which has been learned for one or more specific setpoint signals only, can be adapted to provide a setpoint signal dependent feedforward output signal. The learned feedforward can be made more robust against setpoint variations. | 08-21-2008 |
20080221710 | SYSTEM AND METHODS FOR REDUCING AN EFFECT OF A DISTURBANCE - A method and system for reducing disturbance effects on a dynamic system. The method in one embodiment processes a compensated control signal using at least one of a feedforward gain, feedthru gain and a feedback gain, and transmitting the compensated control signal to the dynamic system. An embodiment of the dynamic disturbance rejection device comprises a feedthru section with at least one input command signal that processes a feedthru output using inverse system dynamics, a feedback section with state information that processes a feedback output using inverse system dynamics, a feedforward section with disturbance information that processes a feedforward output using inverse system dynamics, and a processing unit that processes the compensated control signal for the controlled system. | 09-11-2008 |
20080234841 | CLOSE LOOP CONTROL SYSTEM AND METHOD OF THE SAME - A close loop control system includes a controlled system having a controlled variable and a control variable, a first detecting unit, a second detecting unit, and a feedback control unit. The first and the second detecting units detect the controlled system to output a first and a second feedback values corresponding to the control variable. The feedback control unit controls the controlled system according to the differential value of the first or the second feedback value and a predetermined value to stabilize the controlled variable to the predetermined value. The absolute differential value of the first and the second feedback values determines if detecting units are regular. When the absolute differential value is smaller than an error value, the controlled variable is controlled according to the first feedback value. When the absolute differential value is not smaller than the error value, the controlled variable is fixed to a fixed value. | 09-25-2008 |
20090149970 | SYSTEM CONTROL DEVICE - Disclosed is a system control device that includes a semiconductor element; an actual control value acquisition section; a deviation computation section for computing the deviation between the actual control value and a target control value; an integral term computation means for computing an integral term contained in a control command value; a first control command value computation section for determining the next control command value from the immediately preceding integral term and the deviation; a first feedback control section for exercising control in accordance with the first control command value; a protective control section for providing protective control while allowing the first control command value computation section to perform computations during a period during which the first feedback control section exercises control; a control command value decrease section; a termination time acquisition section for acquiring the information about the termination time for the protective control; and a termination control section which uses a control command value decreased by the control command value decrease section as the initial control command value after the termination time. | 06-11-2009 |
20090248176 | Method and Apparatus for Adaptive Cascade Proportional-Integral-Derivative Controller - An adaptive cascade proportional-integral-derivative controller produces a fixed controller output including a fixed proportional-integral-derivative and a fixed feedforward controller command, and an adaptive controller output including an adaptive cascade PID and an adaptive feedforward command all from a reference command. The fixed controller output and the adaptive controller output are added to produce a control command for a controlled system, which provides a measure of an output and a rate of change of the output as feedback for the controller. | 10-01-2009 |
20090248177 | Method and Apparatus for Adaptive Parallel Proportional-Integral-Derivative Controller - An adaptive parallel proportional-integral-derivative controller produces a fixed controller output including a fixed proportional-integral-derivative and a fixed feedforward controller command, and an adaptive controller output including an adaptive parallel PID and an adaptive feedforward command all from a reference command. The fixed controller output and the adaptive controller output are added to produce a control command for a controlled system, which provides a measure of an output and a rate of change of the output as feedback for the controller. | 10-01-2009 |
20090276062 | ENVIRONMENT CONTROL DEVICE, ENVIRONMENT CONTROL METHOD, ENVIRONMENT CONTROL PROGRAM, AND COMPUTER-READABLE RECORDING MEDIUM CONTAINING THE ENVIRONMENT CONTROL PROGRAM - An environment control device, an environment control method, an environment control program, and a computer-readable recording medium containing the environment control program for enabling the user to actually have a comfortable feeling in a reliable manner and further to maintain such a comfortable state, are provided. A biological information measuring portion acquires time-series data of the biological information of the user. A chaos analysis portion calculates a parameter about the biological information through chaos analysis of the time-series data acquired by the biological information measuring portion. A state inferring portion infers a comfortable feeling of the user on the basis of the parameter calculated by the chaos analysis portion. A device control portion controls generation of a stimulus to be given to the user on the basis of the result of inference made by the state inferring portion. | 11-05-2009 |
20100185304 | Method and Apparatus for Hybrid Resetting States Proportional-Integral-Derivative and Lag Controllers - A controller includes a feedforward module to produce a feedforward component az | 07-22-2010 |
20120046762 | PERFORMANCE IMPROVEMENT OF SIGNAL TRANSFORMATION SCHEMES FOR ULTRA-FAST SCANNING - A mechanism for controlling a plant is provided. A reference signal is received at a signal transformation loop of a feedback controller. The signal transformation loop causes the reference signal to include a disturbance signal and a nominal signal. Also, the reference signal is received at a feed-forward controller, and the feed-forward controller recreates the disturbance signal that was caused by the signal transformation loop. The output of the feedback controller is input into a plant. The output of the feed-forward controller is input into the plant such that the disturbance signal is removed from the output of the feedback controller. | 02-23-2012 |
20120259437 | MODEL-FREE ADAPTIVE CONTROL OF ADVANCED POWER PLANTS - A novel 3-Input-3 -Output (3×3) Model-Free Adaptive (MFA) controller with a set of artificial neural networks as part of the controller is introduced. A 3×3 MFA control system using the inventive 3×3 MFA controller is described to control key process variables including Power, Steam Throttle Pressure, and Steam Temperature of boiler-turbine-generator (BTG) units in conventional and advanced power plants. Those advanced power plants may comprise Once-Through Supercritical (OTSC) Boilers, Circulating Fluidized-Bed (CFB) Boilers, and Once-Through Supercritical Circulating Fluidized-Bed (OTSC CFB) Boilers. | 10-11-2012 |
20120283850 | EXTENDED ACTIVE DISTURBANCE REJECTION CONTROLLER - Multiple designs, systems, methods and processes for controlling a system or plant using an extended active disturbance rejection control (ADRC) based controller are presented. The extended ADRC controller accepts sensor information from the plant. The sensor information is used in conjunction with an extended state observer in combination with a predictor that estimates and predicts the current state of the plant and a co-joined estimate of the system disturbances and system dynamics. The extended state observer estimates and predictions are used in conjunction with a control law that generates an input to the system based in part on the extended state observer estimates and predictions as well as a desired trajectory for the plant to follow. | 11-08-2012 |
20140195013 | EXTENDED ACTIVE DISTURBANCE REJECTION CONTROLLER - Multiple designs, systems, methods and processes for controlling a system or plant using an extended active disturbance rejection control (ADRC) based controller are presented. The extended ADRC controller accepts sensor information from the plant. The sensor information is used in conjunction with an extended state observer in combination with a predictor that estimates and predicts the current state of the plant and a co-joined estimate of the system disturbances and system dynamics. The extended state observer estimates and predictions are used in conjunction with a control law that generates an input to the system based in part on the extended state observer estimates and predictions as well as a desired trajectory for the plant to follow. | 07-10-2014 |
20150378327 | MULTIVARIABLE FEEDFORWARD CONTROL - A method of tracking variable states of a gas turbine engine in transient conditions includes obtaining input data representative of rotor velocity and pressure ratio; calculating a reference transient scheduled trajectory based on the input data; calculating a speed reference transient scheduled trajectory based on the input data; calculating a feedforward variable based on the reference transient scheduled trajectory; obtaining a feedback control variable; and determining a control variable based on a combination of the feedforward variable and the feedback control variable. | 12-31-2015 |
20160147201 | METHODS AND SYSTEMS FOR NONLINEAR ADAPTIVE CONTROL AND FILTERING - Methods, systems and methods for designing a system that provides adaptive control and adaptive predictive filtering using nonlinear components. A system design is described that provides an engineered architecture. This architecture defines a core set of network dynamics that carry out specific functions related to control or prediction. The adaptation systems and methods can be applied to limited areas of he system to allow the system to learn to compensate for unmodeled system dynamics and kinematics. Two types of adaptive modules are described which are configured to account for the unmodeled system dynamics and kinematics. | 05-26-2016 |
20160202670 | SYSTEM AND METHOD FOR SEQUENTIAL ACTION CONTROL FOR NONLINEAR SYSTEMS | 07-14-2016 |