Abstract:
A control apparatus, a control method, and an engine control unit are provided for controlling an output of a controlled object which has a relatively large response delay and/or dead time to rapidly and accurately converge to a target value. When the output of the controlled object is chosen to be that of an air/fuel ratio sensor in an internal combustion engine, the output of the air/fuel ratio sensor can be controlled to rapidly and accurately converge to a target value even in an extremely light load operation mode. The control apparatus comprises an ADSM controller for calculating a target air/fuel ratio in accordance with a predicted value of an output deviation based on a AL modulation algorithm, and a PRISM controller for calculating the target air/fuel ratio in accordance with the predicted value based on a sliding mode control algorithm. The control apparatus selects one of the target air/fuel ratios calculated by the two controllers to control the air/fuel ratio using the selected one.
Abstract:
A method of optimizing a manufacturing operation includes receiving as input data a description of a plurality of desired results of the operation, receiving as input data capabilities of a machine to accomplish the operation, determining an operation space including of a set of operations sufficient to accomplish all of the plurality of desired results using the machine capabilities, categorizing the operation space into groups, each group corresponding to one of the plurality of desired results, wherein any operation in the group sufficing to accomplish the corresponding one result, selecting a subset of the operation space, the subset comprising at least one representative from each of the groups, thereby making it sufficient to accomplish all of the plurality of desired results, and determining a short way to sequence the operations from the selected subset.
Abstract:
A system for and method of determining an input command profile for substantially any dynamic system that can be modeled as a linear system, the input command profile for transitioning an output of the dynamic system from one state to another state. The present invention involves identifying characteristics of the dynamic system, selecting a command profile which defines an input to the dynamic system based on the identified characteristics, wherein the command profile comprises one or more pulses which rise and fall at switch times, imposing a plurality of constraints on the dynamic system, at least one of the constraints being defined in terms of the switch times, and determining the switch times for the input to the dynamic system based on the command profile and the plurality of constraints. The characteristics may be related to poles and zeros of the dynamic system, and the plurality of constraints may include a dynamics cancellation constraint which specifies that the input moves the dynamic system from a first state to a second state such that the dynamic system remains substantially at the second state.
Abstract:
A control system for a plant which controls the plant using an identifier and a sliding mode controller. The identifier identifies a model parameter vector of a controlled object model of the plant. The sliding mode controller controls the plant using the model parameter vector identified by the identifier. According to the identifier, an identifying error of the model parameter vector is calculated and an updating vector is calculated according to the identifying error. The updating vector is corrected by multiplying a past value of at least one element of the updating vector by a predetermined value which is greater than null0null and less than null1null. The model parameter vector is calculated by adding the corrected updating vector to a reference vector of the model parameter vector.
Abstract:
Background noise from relevant data sets, including for example over-the-counter sales data, absenteeism data, etc., is subtracted using a background estimation algorithm that outputs residual data The effects of hypothetical anomalous events, such as a bio-terrorist attack, on the relevant data sets are modeled to create replica data. The replica data may be based on input from epidemiologists and various scenario templates including information on disease manifestation and other intelligence. The residual data and the replica data are then matched using a detector. Types of detectors include for example adaptive matched-filter detectors, change detectors and Bayesian Inference Networks. An alarm is triggered if a real anomalous event similar to a hypothetical anomalous event is detected. A Geographical Information System (GIS) may be used to display data from individual zip codes.
Abstract:
A process device is adapted to couple to a process control loop and communicate on the process control loop. Communication on the process control loop is effected in accordance with an internet protocol. A process communication device is also provided which couples to the process control loop, and an internet. The process communication device provides process control information received from the process control loop, to the internet. Conversely, the process communication device also provides information received from the internet to the process control loop.
Abstract:
Methods of designing the structure of multiple-input multiple-output (MIMO) PID controllers and methods of finding the optimal values for the MIMO PID parameters are disclosed. The optimal values of MIMO PID parameters are obtained by using an optimization algorithm which minimizes the largest modulus of all poles or the discrete time closed loop transfer function from set point SP to process variable PV, with or without user prescribed constraints on the PID parameters. Methods of designing the structure of single-input single-output (SISO) PID controllers and methods of finding tile optimal values for SISO PID parameters are also disclosed as special MIMO PID controller cases.
Abstract:
A control method of an open type motion simulation system, the method includes the steps of: a simulation system linked to a motion system; the simulation system outputting open type command to the motion system; the motion system simultaneously performing operation and analysis on the open type command and platform feedback data by platform dynamic algorithm principle of a control ware; and the motion system then outputting control signal to a control driver to drive the platform.
Abstract:
A method and apparatus for automatically adjusting the gains of a feedback controller while the process continues to run and the controller continues to operate and control the process is disclosed. A desired closed-loop control bandwidth and a target loop transfer function are specified by the operator, and the tuning is accomplished automatically with minimal operator intervention and without the need for developing a model of the process. The automatic tuner subjects the process to one or more disturbance and the operation of both the process and the controller are monitored.
Abstract:
A built-in auto-tuning system of a motor control system provides an auto-tuning of the motor control system. The built-in tuning system generates and applies a plurality of test signals to the controller. In response to the test signals, the tuning system obtains response data such as the gain and phase. Based on the received data, the tuning system detects the crossover frequencies of the control system. The tuning system then calculates the phase and gain margins of the control system. The calculated gain and phase margins are compared with a set of predetermined values by the tuning system to automatically adjust the compensation parameters of the motor control system for a stable operation.