45results about "Adaptive control" patented technology

System and method for modeling a nonlinear process. A combined model for predictive optimization or control of a nonlinear process includes a nonlinear approximator, coupled to a parameterized dynamic or static model, operable to model the nonlinear process. The nonlinear approximator receives process inputs, and generates parameters for the parameterized dynamic model. The parameterized dynamic model receives the parameters and process inputs, and generates predicted process outputs based on the parameters and process inputs, where the predicted process outputs are useable to analyze and/or control the nonlinear process. The combined model may be trained in an integrated manner, e.g., substantially concurrently, by identifying process inputs and outputs (I/O), collecting data for process I/O, determining constraints on model behavior from prior knowledge, formulating an optimization problem, executing an optimization algorithm to determine model parameters subject to the determined constraints, and verifying the compliance of the model with the constraints.

Currently lacking are effective and accurate tools to help petroleum traders and logistics personnel to make better decisions, collaborate in real-time and negotiate deals in a private and secure environment. The present invention addresses this and other needs in the industry.

In particular, the present invention provides a non-client computer resident method optimizes vessel scheduling by aggregating vessel information. At least some of the vessel information is automatically downloaded from an electronic source. The aggregated vessel information is stored in a vessel information database comprising vessel information database records. Information is obtained about a potential vessel contracting transaction. The vessel information database is searched in a real-time manner to match the potential vessel contracting transaction to at least one of the vessel information database records such that the vessel contracting transaction is optimized. At least one of the optimized vessel contracting transactions is then reported. Optimization factors used to produce the optimized vessel contracting transactions include lowest cost and fastest delivery.

A framework for centrally controlling a plurality of building automation systems. The architecture and method automates a plurality of existing and new building automation systems comprising access control, HVAC, fire safety etc. in such a way that the plurality of building automation systems can be monitored and controlled from a central dashboard. The central dashboard effectively monitors, takes right decisions and remotely controls the buildings across the globe from a centralized location.

The invention relates to a method for optimizing and setting regulator parameters of a coordinated control system. The method is characterized by being used for optimizing and setting proportion integration differentiation (PID) regulator parameters from multiple targets of a boiler follow coordinated control system of a generating unit and comprising the following steps of: acquiring a controlled object model of the boiler follow coordinated control system of the generating unit through model identification, namely increasing the quantity of boiler fuel under the condition of unchanged opening of a turbine control valve by steps, and recording the main stream pressure and an output power valve of the generating unit per 5 seconds until the main stream pressure and the output power valve are stable; increasing the opening of the turbine control valve under the condition of unchanged quantity of the boiler fuel by steps, and recording the main stream pressure and the output power valve of the generating unit per 5 seconds. By the method, a closed-loop control system has enough stability, and accumulated heat of a boiler can be fully utilized on the premise of ensuring safe running of the unit so that the unit has a power response speed as fast as possible.

The invention discloses an optimization design method of a radial-flow-type hydraulic turbine. In the design method, a unitary thermal optimization design, a three-dimensional modeling method of a through-flow part and a complete machine optimization platform are utilized, wherein the optimization platform comprises four modules, namely nozzle blade and impeller blade parameterization, a coevolution genetic algorithm, a self-adaption approximation model, and autocall of CFD (computational fluid dynamics). Through the parameterization, characteristic variables describing impeller blades, nozzle blade patterns and installation angle variation are extracted. The optimization target is to enhance the overall efficiency and expansion ratio of the hydraulic turbine simultaneously under a complete machine environment. The optimization platform can be used for reducing the calculated amount and accelerating the convergence by virtue of the following measures: the approximation model is built and updated by a dynamic sampling strategy, and enough prediction accuracy is obtained by virtue of less CFD calculation; and a complicated multivariable optimization problem is decomposed into a plurality of relatively independent and interactive subproblems by virtue of the coevolution genetic algorithm, so that not only can the characteristics of the original problem be maintained, but also the calculated amount is reduced effectively.

The present invention utilizes a cross-prediction scheme to predict values of discrete and continuous time observation data, wherein conditional variance of each continuous time tube variable is fixed to a small positive value. By allowing cross-predictions in an ARMA based model, values of continuous and discrete observations in a time series are accurately predicted. The present invention accomplishes this by extending an ARMA model such that a first time series “tube” is utilized to facilitate or “cross-predict” values in a second time series tube to form an “ARMAxp” model. In general, in the ARMAxp model, the distribution of each continuous variable is a decision graph having splits only on discrete variables and having linear regressions with continuous regressors at all leaves, and the distribution of each discrete variable is a decision graph having splits only on discrete variables and having additional distributions at all leaves.

The present invention relates to an embedded motion control method based on on-chip system and its equipment. Said method includes the following steps: for whole SOC chip adopting modular design, for module of system adopting mode of IP nucleus, using VHDL hardware description language to implement, then on the basis of introducing test vector utilizing emulation test tool to make sequential and functional emulation, finally function-completely forming IP nucleus library, after the IP nucleuses of all the modules of said system are implemented, integrating them together so as to forma complete NC hardware device, integrally debugging to implement design of real-time internal nucleus. Said invention can implement 32-bit embedded microcontroller IP nucleus, patching plug IP nucleus and digital servo IP nucleus, patching plug IP nucleus and digital servo IP nucleus on one chip. Besides, said invention also provides its application range and its advantages.

An illumination apparatus of the present invention quickly adjusts illuminance of the light radiated from the light source in the irradiation surface to have high uniformity. The illumination apparatus includes the light source that emits a light beam having a rectangular shape, a DMD on which light emitted from the light source is incident and which controls reflection/non-reflection of the incident light by opening/closing control of minute mirrors, an optical system that shapes the light reflected by the DMD, a half mirror that splits the light emitted from the optical system into irradiation light and monitor light, the irradiation surface irradiated with the irradiation light, a monitor unit that measures illuminance of the monitor light, and a control unit that transmits a control signal to control opening/closing of the minute mirrors of the DMD to the DMD, based on a measurement result measured by the monitor unit. In this case, an illuminance distribution in the irradiation surface is adjusted to a predetermined value.

Methods, control systems, and information handling systems for controlling at least two actuators are provided. An internal control system sends an input received from the main control system to a first actuator and diverts a portion of the input to a second actuator when an input constraint of the first actuator is reached. The actuators may be throttle valves for heating a hydraulic line. The internal control system includes a cutoff rerouter for implementing the sending and the diverting of the input and an adaptive cutoff controller, e.g., an integral controller, for determining the input constraint of the first actuator. The information handling systems include a determination logic for determining if an input received from the main control system is greater than an input constraint of the first actuator and a diverting logic for diverting a portion of the input to a second actuator when the input is greater.

The invention provides a real-time tracking and predicting control method for a maximum photovoltaic power point. The real-time tracking and predicting control method for the maximum photovoltaic power point comprises the following steps of: S1), establishing an environmental factor and a maximum photovoltaic power point function model in a photovoltaic controller, and establishing an output current and voltage mathematical model of the photovoltaic controller for real-time output current in the environmental factor and the maximum photovoltaic power point function model in the photovoltaic controller; S2), establishing photovoltaic controller mathematical modeling and a state space model, and establishing a constraint condition for the photovoltaic controller used for controlling output current; S3), establishing a real-time tracking and predicting target function, and establishing a performance index used for determining the target function; and S4), solving the target function under the constraint condition, and obtaining an optimal control sequence used for tracking the maximum photovoltaic power point. According to the real-time tracking and predicting control method for the maximum photovoltaic power point, which is disclosed by the invention, the real-time model prediction control of the photovoltaic system under the quickly-changed external environment condition can be realized so as to improve the predicting and tracking capability of the maximum photovoltaic power point.

The invention discloses a novel model-free adaptive sliding mode control method for a hybrid type automobile electrophoretic-coating conveying mechanism. The method comprises the following steps: firstly, for the hybrid type automobile electrophoretic-coating conveying mechanism, acquiring a mechanism kinetic model capable of comprehensively reflecting kinetic characteristics and also capable of realizing real-time control on line and in real time according to a time delay estimation technology; then designing a time delay estimation-based sliding mode controller based on the kinetic model acquired according to time delay estimation; further, designing a novel adaptive law for a switching gain of time delay estimation-based sliding mode control, thereby obtaining an adaptive sliding mode controller which does not need upper-bond information of an uncertain system of the conveying mechanism; finally, realizing model-free adaptive sliding mode control of the conveying mechanism through software programming. The novel model-free adaptive sliding mode control method can enable a system to be high in tracking performance under the condition of not using the upper-bond information of theuncertain system of the conveying mechanism, and no mathematical model for the conveying mechanism is required to be built; furthermore, sliding mode control chattering can be effectively weakened.

The embodiments described herein include a control system and method for a compressor that is operable with a climate system. The control system enables optimal climate system operation by efficiently controlling the operating speed of the compressor.

The invention relates to a non-cable self-control underwater navigation body hovering and controlling method. The method includes the following steps: an underwater navigation body collects sensor information on the navigation body, enables collected depth values and collected trim angles to be used as a feedback signal after being filtered, a proportional plus integral plus derivative (PID) control way is used to achieve the control to the depth values and the trim angles and obtains control values; next, according to arrangement of a thruster, the control values are distributed and transmitted to vertical channel thrusts of a bow portion and a stern portion to achieve hovering control. By the adoption of the non-cable self-control underwater navigation body hovering and controlling method, the fact that a non-cable self-control underwater navigation body stably hovers in the set depth can be achieved, when the non-cable self-control underwater navigation body is in hovering, error of the depth of the underwater navigation body is less than +/-0.5 meters, variation ranges of the trim angles are less than +/- 10 degrees. The non-cable self-control underwater navigation body hovering and controlling method provides technical guarantee for the non-cable self-control underwater navigation body in completing smooth satellite positioning rectification under water.

A control circuit includes a desired value arithmetic unit that calculates a desired value of a control object, a sensor that detects a value indicating a state of an actuator used to displace the control object, a deviation arithmetic unit that calculates a deviation of the control object from the desired value, a proportional arithmetic unit that produces a proportional-component drive signal, an integral arithmetic unit that calculates an integral value of the deviation and produces an integral-component drive signal, a derivative arithmetic unit that calculates a derivative value of the deviation and produces a derivative-component drive signal, and a drive-signal output unit that outputs the drive signals provided from the integral arithmetic unit, the proportional arithmetic unit, and the derivative arithmetic unit to a drive circuit for the actuator. At least the integral gain ki of the integral arithmetic unit is in a range 0.1 V/rad·s≦ki≦4200 V/rad·s.

The invention discloses a fractional order auto-disturbance motion control method based on an adjustable-order filter. The method comprises steps that according to the Newton's law of motion, a nonlinear dynamic model of a motion control system is established; measurement noise is filtered through utilizing the adjustable-order filter; the order of the filter is adjusted to achieve the better filtering result; an extended state observer is utilized to improve the disturbance suppression effect of the system; a motion controller is designed through utilizing the fractional proportional differential algorithm, and the tracking reference input is made to output. The method is advantaged in that parameter adjustment is flexible, engineering realization is easy, and the suppressing ability of the motion control system for measurement noise and interference is effectively improved.

A vibration damping apparatus including reference wave production section that produces a reference wave; a fundamental order adaptive algorithm block that calculates fundamental order adaptive filter factors from a vibration detection signal and the reference wave and produces a fundamental order vibration damping current instruction; an amplitude detection section that calculates a peak current value of the fundamental order vibration damping current instruction; and a fundamental order current excess detection section that derives a fundamental order current upper limit value from the fundamental frequency to produce a fundamental order current upper limit excess signal that is output to the fundamental order adaptive algorithm block, which revises the fundamental order adaptive filter factors in a direction in which the vibration damping current instruction is limited within a range.

A solenoid device including a plunger, a solenoid configured to cause a displacement of the plunger, and a driving control unit configured to control driving of the solenoid. The driving control unit supplies current pulses to the solenoid and changes a pulse interval of the current pulses.

A machine (1) and method for applying a tread (2) to a carcass (3) of a tire (4); the machine (1) has a rotary drum (5) supporting the carcass (3), a feed conveyor (6) for feeding the tread (2) to the rotary drum (5), a pressure roller (7) contacting the tread (2), an actuating device (8) for pushing the pressure roller (7) against the tread (2) with a force (F) of adjustable intensity, and a control unit (9) for regulating the intensity of the force (F) as a function of an error variable (E) calculated as the difference between the length (RCC) of the remaining portion of the circumference of the carcass (3), and the length (RTL) of the remaining portion of the tread (2); and the control unit (9) regulates the intensity of the force (F) by means of a proportional control block (12) having a gain (Kp) varying as a function of the value of the error variable (E) and as a function of the rate of change of the error variable (E).

The invention discloses an intelligence control system of smelting furnace, which is characterized by the following: comprising temperature measuring unit, signal treating unit, executive unit and interactive system; using the temperature measuring unit to measure current temperature value T of the melting furnace; receiving the current temperature value T with the signal treating unit; clearing controlled command to the executive unit; receiving the controlled command with the executive unit; controlling the heating of the melting furnace; connecting the interactive system to the signal treating unit; displaying procedure parameter of the melting furnace for user; receiving the import from user; changing the working parameter of the intelligence control system. This system possesses higher controlled accuracy, good mutual property and strong environmental adaptation, which can increase the quality of the product substantially.

A technique for enhancing the execution efficiency of simulation of a hybrid system. A continuous system simulator receives a request for evaluation of an event generating conditional expression for an event to be processed by a discrete system simulator, from the discrete system simulator. The event generating conditional expression is evaluated by referring to the value of a first variable describing a continuous system. Until evaluation of the event generating conditional expression indicates true, the continuous system simulator repeats simulation of advancing the current time by a step time interval and evaluation of the event generating conditional expression. When evaluation of the event generating conditional expression indicates true, the continuous system simulator sends current time data and the value of a second variable describing the continuous system which is referred to by the discrete simulator, to the discrete simulator.

The invention discloses a control method for the fault tolerance tracking of the adaptive neural network of a rigid aircraft. The method designs a fixed time sliding surface for the posture tracking problem of the rigid aircraft with a concentration uncertainty to ensure that the fixed time of the state shortens, introduces a function in which the neural network approximates the total uncertainty,and designs an adaptive fixed time controller. According to the control method for the fault tolerance tracking of the adaptive neural network of the rigid aircraft, the control that the fixed time of the posture tracking error and the angular velocity error of the aircraft system are consistent and bounded is realized, under the factors of external disturbance, uncertain moment of inertia, actuator saturation and failure.

Setting of parameters that determine filter characteristics is facilitated. Machine learning of optimizing the coefficients of a filter provided in a motor control device that controls rotation of a motor for a machine tool, a robot, or an industrial machine is performed on the basis of measurement information of an external measuring instrument provided outside the motor control device and a control command input to the motor control device.