Abstract:
A control systems and methods are presented for controlling a production system, in which a model-based planner includes a formulation, such as a SAT formulation representing possible actions in the production, with a solver being used to provide a solution to the formulation based at least partially on production and diagnostic goals and the current plant condition, and a translation component translates the solution into a plan for execution in the plant.
Abstract:
A controller directs the operation of an air pollution control (APC) system having one or more controllable operating parameters and a defined operating limit representing a regulatory limit on an allowed amount of pollutant to be emitted by the APC system. An interface receives data representing a value of a regulatory credit available for emitting less of the pollutant than the regulatory limit on the allowed amount of pollutant. A control processor (i) determines a target set point for each of at least one of the one or more controllable operating parameters, which will maximize the regulatory credits earned, based on the received data and (ii) to directs control of each of the at least one controllable operating parameter based on the determined target set point for that parameter.
Abstract:
Operation of a multi-variable process involves multidimensional representation of the value (pl-p12) of the process variables (P1-P12) according to individual coordinate axes, and an operational envelope (UB,LB) derived from a group of sets of values for the process and quality variables (P1-P12,Q1-Q2) accumulated from multiple, earlier operations of the process, defines an operating zone for the process and quality variables of the process. If the current value (p7) of any process variable (P7) goes outside the envelope, an envelope (UO,LB) for a different, wider grouping of the stored data-sets is displayed at least for the quality variables (Q1-Q2). A series of nested envelopes to provide stepwise enlargement of the operating zone may be provided, but non-nested envelopes can be used where there is clustering of acceptable values of process variables of the stored data-sets. The changes to control variables to bring the values of dependent variables within a best operating range can be determined.
Abstract:
A system and method is provided for monitoring the operating condition of a pump by evaluating fault data encoded in the instantaneous current of the motor driving the pump. The data is converted to a frequency spectrum which is analyzed to create a fault signature having fault attributes relating to various fault conditions associated with the pump. The fault signature is then input to a neural network that operates in conjunction with a preprocessing and post processing module to perform decisions and output those decisions to a user interface. A stand alone module is also provided that includes an adaptive preprocessing module, a one-shot unsupervised neural network and a fuzzy based expert system to provide a decision making module that operates with limited human supervision.
Abstract:
A controller directs the operation of an air pollution control (APC) system having one or more controllable operating parameters and a defined operating limit representing a regulatory limit on an allowed amount of pollutant to be emitted by the APC system. An interface receives data representing a value of a regulatory credit available for emitting less of the pollutant than the regulatory limit on the allowed amount of pollutant. A control processor (i) determines a target set point for each of at least one of the one or more controllable operating parameters, which will maximize the regulatory credits earned, based on the received data and (ii) to directs control of each of the at least one controllable operating parameter based on the determined target set point for that parameter.
Abstract:
The present invention provides a method of optimizing a painting process for applying a paint layer on an article. The method comprises defining a functional relationship paint processing parameters and a paint layer property (i.e., the average paint layer thickness) using a neural network. This functional relationship is then used in a paint optimization function that measures a combination of quality control parameters and efficiency parameters. Finally, the paint optimization function is optimized by adjusting the paint processing parameters utilizing the functional relationship formed by the neural network. The invention also provides a system that implements the methods of the invention.
Abstract:
In a control method, the first controlled variable is made to coincide with a predetermined controlled variable set point. A relation variable representing the relationship between second controlled variables which are designated in advance from measured second controlled variables different from the first controlled variable so as to maintain a predetermined relationship is calculated. A control actuator is so controlled as to make the calculated relation variable coincide with a predetermined relation variable set point. The difference between the calculated relation variable and a relation variable set point corresponding to the calculated relation variable is calculated. The calculated difference is added to the measured first controlled variable. A manipulated variable is calculated by performing feedback control calculation so as to make the sum coincide with the controlled variable set point. The calculated manipulated variable is output to a corresponding control actuator. A control apparatus is also disclosed.
Abstract:
In tuning a controller for a process in a feedback control system, a method is provided for bringing the system into asymmetric self-excited oscillations for measuring the frequency of the oscillations, average over the period value of the process output signal and average over the period control signal and tuning the controller in dependence of the measurements obtained. An element having a non-linear characteristic is introduced into the system in series with the process and set point signal is applied to excite asymmetric self-excited oscillations in the system. An algorithm and formulas are given for identification of the process model having the form of first order plus dead time transfer function. PI controller settings are given as a function of the dead time/time constant ratio. An apparatus for performing the method is disclosed.
Abstract:
The present invention proposes a smart circuit device of a smoke exhauster for cooking. The smart circuit device of the present invention comprises a sensing circuit comprising a temperature sensor and a smoke sensor, a signal processing circuit of temperature sensor, a signal processing circuit of supersonic transducer, a microprocessor control circuit, an output and display circuit, a motor-driving circuit, and a power circuit. The temperature sensor is used to assist the smoke sensor (supersonic transducer). The present invention can detect the variations of the quantity of smoke and temperature in the cooking environment as input parameters to the microprocessor control circuit. The microprocessor control circuit will operate according to the fuzzy control theory to control the motor of the smoke exhauster to operate at a proper rotation speed so as to reduce noise, save energy, and achieve the object of automatic control.
Abstract:
The automated integrated input-output control system apparatus. A versatile industrial control apparatus that can be utilized as a modular unit or integrated into industrial machinery or tools to provide an apparatus and method for programmable control of industrial tools, industrial controls and manufacturing operation processes. The automated integrated input-output control system apparatus includes the following components: a control-power mechanism housing, a sensor, input attachment devices, output attachment device, and a control system.