137results about "Electric controllers" patented technology

The invention discloses an AI-based bridge construction intelligent monitoring method, particularly relates to the field of data analysis, and comprises the steps of multi-modal sensing network construction, cross-domain characteristic parameter extraction, comprehensive state evaluation modeling and intelligent decision and regulation. According to the method, deformation, corrosion, vibration and other multi-physical field data are synchronously collected through a multi-modal sensing network, a cross-scale feature extraction algorithm is adopted to construct creep-corrosion collaborative factors and other composite indexes, the limitation of traditional single-dimensional parameter analysis is broken through, a dynamic evaluation model is fused with weighted integral and a nonlinear function, and the dynamic evaluation accuracy is improved. Precise early warning of risks such as bridge pier instability and cantilever cracking is achieved, the multi-field coupling effect quantification capacity is remarkably improved, an intelligent joint control mechanism automatically triggers instructions such as jacking reinforcement and damping tuning through a three-level emergency response system, a monitoring-analysis-regulation closed-loop system is constructed, the hysteresis of manual decision is effectively eliminated, and the safety and reliability of the system are improved. And all-weather self-adaptive safety guarantee is provided for bridge construction.

Various embodiments of systems and methods for remote monitoring and controlling of electrochromic glass are described. In some embodiments, a device monitoring and control system can receive messages via a communication hub from a plurality of remote installation sites for electrochromic glass units. The messages include telemetry data associated with the electrochromic glass units. The system can stream the telemetry data to a data analytics engine that can perform analytics functions on the telemetry data. The system provides results of the analytics functions to remote destinations via a data analytics interface. The system can also receive, via a control interface, control instructions from remote sources to control one or more of the electrochromic glass units. The system can transmit control messages to the installation sites to implement the control instructions. The system can also establish a connection for a requestor to an installation site using a site's specific connection protocol.

The invention belongs to the technical field of optical device control, and discloses a fast reflector sliding mode control method and related equipment, and the method comprises the steps: building a closed-loop error model of a fast reflector; the closed-loop error model comprises a lumped disturbance item jointly formed by external disturbance and system parameter measurement deviation; setting a fixed time RBF disturbance observer; the fixed-time RBF disturbance observer is used for estimating a lumped disturbance item so as to output a lumped disturbance estimated value, and the fixed-time RBF disturbance observer is configured with a weight updating law which enables an estimation error to converge within fixed time irrelevant to an initial state; constructing a sliding mode controller based on a lumped disturbance estimated value output by the fixed-time RBF disturbance observer and a closed-loop error model; a sliding mode controller is used for controlling the fast reflecting mirror; therefore, the control precision and the anti-interference capability are improved, and the problems that the controller depends on the disturbance upper bound and the disturbance estimation convergence time depends on the initial state are solved.

The invention relates to an unmanned surface vehicle formation control method and device, and belongs to the technical field of unmanned surface vehicle automatic driving, and the unmanned surface vehicle formation control method comprises the steps: building a mathematical model of each unmanned surface vehicle in an unmanned surface vehicle formation based on the initial position and initial speed of each unmanned surface vehicle in the unmanned surface vehicle formation; estimating the real-time speed and disturbance of each unmanned ship in the unmanned ship formation based on the mathematical model and a preset extended state observer; based on a preset relative threshold event triggering mechanism, calculating a measurement error between the unmanned ships in combination with the initial position information and the real-time speed of each unmanned ship in the unmanned ship formation; and calculating a generalized dynamic error of the unmanned ship formation based on the measurement error between the unmanned ships, and calculating control input of the unmanned ship formation by adopting a preset sliding mode algorithm based on the generalized dynamic error. According to the invention, the unmanned ship formation can be accurately and stably controlled.

To improve responsiveness while reducing the effect of noise, a valve control method for controlling a valve of a fluid control device includes generating a target response function converted from the flow rate setting using a target response transfer function; generating a target voltage function by making a correction in nonlinearity of a drive voltage for the valve and a flow rate, with respect to the target response function; generating a feedforward voltage signal from the target voltage function by making a correction corresponding to the delay characteristic of the valve; causing a feedback controller to generate a feedback voltage signal from a deviation between the target response function and a flow rate measurement of a flow rate sensor; generating a corrected command voltage signal using a feedforward voltage signal and the feedback voltage signal; and controlling the valve using the corrected command voltage signal.

The invention discloses a preset time intelligent active disturbance rejection control method and device. The method comprises the following steps: acquiring an error kinetic equation of a target control system; constructing a preset performance function according to the error kinetic equation; constructing a target tracking differentiator according to the preset performance function; constructing an extended state observer according to the error kinetic equation; constructing a nonlinear control law according to the target tracking differentiator and the extended state observer; obtaining an active disturbance rejection controller according to the target tracking differentiator, the extended state observer and the nonlinear control law; and combining an intelligent anti-disturbance algorithm with the active-disturbance-rejection controller, and controlling the target control system to obtain environment state data. The method can improve the stability and robustness of a control system, and can be widely applied to the technical field of active disturbance rejection control.

The invention relates to the field of LPV system tracking control, in particular to a robust tracking control method for a data-driven LPV system under an event triggering strategy. The method comprises the following steps: 1, introducing an integral compensator, and popularizing a perturbation LPV system to an augmented perturbation LPV system; and 2, based on an LPV system-continuous excitation condition, collecting data such as a state variable and a scheduling variable of an unknown augmented perturbation LPV open-loop system, and establishing closed-loop representation of the LPV system based on the data. 3, based on the closed-loop data representation of the augmented perturbation LPV system, synthesizing data to drive a controller, and ensuring the closed-loop stability of the system; 4, on the basis of the whole-block S-process, infinite constraints in semi-definite programming for controlling gain calculation are converted into limited constraints calculated on vertexes of a polyhedron; 5, designing an event triggering strategy, and designing a controller for ensuring the closed-loop stability performance of the augmented perturbation LPV system; and 6, performing robust tracking control applied to the augmented perturbation LPV system.

The invention discloses an intelligent regulation and control domestic sewage and initial rainwater cooperative treatment system and method, and the method comprises the steps: S1, separating the severely polluted initial rainwater from clean middle and later rainwater, and guiding the initial rainwater to a regulation and storage pool; s2, storing the seriously polluted initial rainwater in the regulation and storage tank, and homogenizing the water quantity and the water quality; s3, directly introducing the homogenized initial rainwater into the tail end of a sewage treatment system, namely a biochemical treatment unit; s4, the introduced initial rainwater and domestic sewage from the front end of the sewage treatment system are fully mixed in a biochemical treatment unit, subjected to nitrification, denitrification and organic matter degradation together and then enter a subsequent secondary sedimentation tank to be subjected to mud-water separation, and supernate obtained through sedimentation is disinfected and then discharged or recycled after reaching the standard; the initial rainwater is directly introduced into the biochemical treatment unit, so that the ineffective circulation of the initial rainwater in the front-end physical treatment unit is avoided, and the strong pollutant degradation capability of the biochemical treatment unit is fully utilized.

To address such a problem that in a multiple-point physical quantity control system consisting of a master module and a plurality of slave modules, the master module has output control target information to the slave modules without reflecting physical quantity measurement results from the slave modules therein.SOLUTION: On the basis of physical quantity measurement results transmitted from slave modules, a master module outputs control target information to the slave modules as a solution of the problem. When the physical quantities of control objects are distributed, this configuration can efficiently perform time management till starting the control of the physical quantities.SELECTED DRAWING: Figure 16

The invention discloses an axle box body cleaning and polishing station automatic deviation rectification control method and system, and relates to the technical field of industrial visual inspection and automatic control, and the method comprises the steps: recognizing the model of a workpiece through an RFID reader-writer, and loading corresponding standard template parameters; acquiring a characteristic region image of the axle box body through a visual detection unit; extracting a reference surface contour line and a positioning hole circle center coordinate by adopting edge detection and Hough circle transformation; matching the extracted features with a standard template to calculate translation deviation and rotation deviation; the deviation is converted into an executing mechanism compensation correction amount through coordinate transformation; according to the method, the problems of secondary positioning accumulative errors, tool tolerance superposition, poor model switching adaptability and the like in multi-station circulation of the axle box body are solved, the deviation correction precision is superior to + / -0.2 mm and + / -0.1 degree, and the time consumed for single deviation correction is less than 3 seconds.

The purpose of the present disclosure is to improve responsiveness by feedforward control. A control system (1) controls a motor (M1) by semi-closed control. A calculation unit (71) generates a total manipulated variable (S5) by adding a plurality of manipulated variables, including a feedforward manipulated variable (S1) and a feedback manipulated variable (S3). A control command unit (7) outputs a control command for controlling the motor (M1) on the basis of the total manipulated variable (S5). When a switching condition is satisfied, a correction unit (6) increases the absolute value of the total manipulated variable (S5). The switching condition includes that the sign of the feedforward manipulated variable (S1) and the sign of the feedback manipulated variable (S3) are different.

The invention provides a following control method and system for engineering machinery by a power transmission vehicle, and relates to the technical field of engineering machinery, and the following control method comprises the steps that real-time position data of the engineering machinery and the power transmission vehicle and accelerator, brake and steering wheel information of the engineering machinery are acquired, and the position data comprise actual coordinates and actual speed; based on the real-time position data, according to the following distance between the power transmission vehicle and the engineering machinery, calculating set coordinates of the power transmission vehicle relative to the engineering machinery; feedforward control is carried out on the speed and direction of the power transmission vehicle according to the error between the set coordinates and the actual coordinates and information of an accelerator, a brake and a steering wheel of the engineering machinery, and the driving path of the power transmission vehicle is continuously adjusted; based on the GPS and wireless communication technology, the position coordinates of the target machinery are positioned in real time, the driving path of the power transmission vehicle is adjusted in real time, the engineering machinery is automatically followed in real time, and efficient and safe construction power supply is achieved.

The present disclosure relates to a BMS that includes processor(s) that execute instructions to obtain a fault rule related to a building parameter and determine that a fault has occurred based on the fault rule and initial BMS data indicating an initial value of the building parameter. The instructions cause the processors to perform an automatic fault correction process including increasing or decreasing an operational value of building equipment that operate to affect the building parameter by a preset interval, operating the building equipment using the increased or decreased operational value to affect the building parameter, and determining whether the fault was resolved. Responsive determining that the fault was not resolved, the instructions cause the processor(s) to repeat the automatic fault correction process until either the fault is resolved, or the operational value of the building equipment reaches a minimum or maximum value threshold.

In ERIT, it is necessary to set a reference model for generating a target command for an ideal response before FF control design, and if an appropriate reference model cannot be set, coupled vibration caused by a plurality of structures cannot be suppressed. Further, when the characteristics of the plant are partially or entirely unknown, it is practically impossible to provide an appropriate reference model. Therefore, an object of the present invention is to provide a design method and a design device for data-driven damping feedforward control that can eliminate the need to set a complicated reference model.SOLUTION: A feedforward control design method has a controller structure in which a plurality of feedforward controllers to be designed are provided, a denominator polynomial of each feedforward controller is common, and a numerator polynomial is a free parameter, and the free parameter is designed by solving an optimization problem for minimizing a deviation between a target command generated by one feedforward controller among the plurality of feedforward controllers and a predicted response.SELECTED DRAWING: Figure 2

To make a control amount of a controlled object follow a target value even when an unknown disturbance exists, while effectively utilizing an existing controller.SOLUTION: A control device according to one aspect is a control device disposed between a higher-level control device that outputs a first target value for a control amount of a controlled object and a lower-level control device that controls the controlled object in accordance with a given second target value, and includes: a model parameter estimation unit that estimates parameters of a closed-loop response model that models the response of closed-loop control consisting of the lower-level control device and the controlled object based on the control amount and the second target value; a target value conversion unit that calculates a third target value by converting the first target value so that the control amount asymptotically approaches the first control amount based on the first target value, the second target value, and the parameters; and a switching unit that outputs either the first target value or the third target value to the lower-level control device as the next second target value.SELECTED DRAWING: Figure 2

The application discloses a kind of intelligent regulation and control domestic sewage and initial rainwater collaborative processing system and method, comprising: S1, seriously polluted initial rainwater is separated from clean middle and late rainwater, and initial rainwater is guided to regulation and storage pool;S2, seriously polluted initial rainwater is stored in the regulation and storage pool, and water quantity and water quality are homogenized;S3, after homogenization, initial rainwater is directly introduced into the end of sewage treatment system, i.e.biochemical treatment unit;S4, introduced initial rainwater and domestic sewage from the front end of sewage treatment system are fully mixed in biochemical treatment unit, after experiencing nitrification, denitrification and organic matter degradation process, enter subsequent secondary sedimentation tank for mud-water separation, and the supernatant obtained by precipitation is discharged or reused after disinfection;By directly introducing initial rainwater into biochemical treatment unit, it avoids ineffective circulation in front-end physical treatment unit, and fully utilizes the powerful pollutant degradation capacity of biochemical treatment unit.

The invention relates to a control system for a motor operating a roof assembly, including a speed controller, a current controller, a motor and a performance feed forward module. The control system is configured for receiving a speed setpoint as input, feeding back a speed signal, and determining a speed error. Providing a current setpoint and feeding back a current output to the current setpoint, and providing a current error signal to the current controller. Feeding back a relative position signal and feeding forward, based on at least one performance profile determined from an absolute position signal, a current feed forward signal to the current setpoint. And generating, based on the current error signal and the relative position signal, a drive signal for driving a motor. The current error signal is based on the current setpoint, the current feedback and the current feed forward.

The invention provides a water-free freezing environment-friendly closestool control system which comprises execution equipment, an information acquisition device and a controller, a closestool comprises an inner container and a freezing cabin, the inner container and the freezing cabin are physically isolated, and the execution equipment comprises a traction mechanism and a sealing mechanism; the controller is in communication connection with the execution device and the information acquisition device. The traction mechanism automatically pulls the packaging bag to move towards the freezing cabin, and the collected excrement is dragged into the freezing cabin along with the packaging bag. The sealing mechanism is automatically controlled through the controller, and the sealing mechanism automatically seals and cuts off the packaging bag. The packaging bag above the cutting line continues to collect the excrement, the packaging bag below the cutting line completes packaging of the excrement, and the excrement falls into the freezing cabin to be frozen along with cutting of the packaging bag. Therefore, separation of excrement freezing and excrement collection is achieved, and meanwhile automatic continuous packaging of excrement is achieved.

The invention relates to the field of ice maker control, and discloses an ice-making power consumption control method and system based on multi-dimensional data fusion, and the method comprises the steps: obtaining the ice-making demand information of an ice maker; acquiring historical equipment operation parameters corresponding to the ice making demand information, and acquiring a preset historical equipment operation parameter range corresponding to the historical equipment operation parameters; the preset historical equipment operation parameter range comprises parameter ranges corresponding to the compressor power, the compressor refrigeration time, the ice crushing power and the ice crushing time respectively; when the historical equipment operation parameters are within a preset historical equipment operation parameter range, controlling the ice maker to make ice according to the historical equipment operation parameters; and when the historical equipment operation parameters are not within the preset historical equipment operation parameter range, determining adjustment equipment operation parameters corresponding to the historical equipment operation parameters, and controlling the ice maker to make ice according to the adjustment equipment operation parameters. The power control effect of the ice maker capable of making ice blocks and smoothie at the same time can be improved.

A method and apparatus for controlling a load facility in response to a demand event. The method includes defining a plurality of resources of the load facility based on user input, establishing a response strategy for the demand event, and organizing the resources into the response strategy that specifies the resources and times during the demand event at which the resources are called to execute the one or more measures to reduce power consumption of one or more of the electrical devices, different ones of the resources called at different times during the demand event, and at least one of the resources called to execute the one or more measures, and further including executing the response strategy to reduce demand on the power grid from the load facility during the demand event.

The present invention discloses a method for cold-rolled steel plate shape anti-interference control based on a high-order sliding mode, comprising: real-time acquisition of cold-rolled steel plate shape data during the rolling process, forming a cold-rolled steel plate shape error vector, constructing a cold-rolled steel plate shape lumped noise, and calculating the cold-rolled steel plate shape noise spectrum in real time through a sliding window Fourier transform; designing a filter cutoff frequency, using a high-pass filter and a low-pass filter respectively according to the filter cutoff frequency to separate the slow-varying noise and the fast-varying noise in the cold-rolled steel plate shape noise spectrum, and predicting the slow-varying noise at the next moment through the slow-varying noise; using a derivative observer of the high-order sliding mode to observe the cold-rolled steel plate shape error vector, and designing a high-order sliding mode control law based on the fast-varying noise and the predicted slow-varying noise; using the high-order sliding mode control law to control the input signal during the rolling process to achieve cold-rolled steel plate shape anti-interference control. The present invention dynamically compensates for interference during the steel plate rolling process, improving the stability and real-time performance of the anti-interference control.

The present invention relates to stations (10, 20, 30, 40, 50) for changing a nappy of a baby or small child. A station has a moveable barrier (13) and a device (18, 53) for automatically detecting a guardian. The device for automatic detection is designed such that it moves the moveable barrier into an open state when the device for detection detects a guardian.

Motorized window treatment systems are disclosed. A motorized window treatment system may include a covering material, a sensor circuit, and a control circuit. The sensor circuit may be configured to generate sensor signals indicative of a position of the covering material. The control circuit may be configured to determine a present sensor state of the sensor circuit, determine a predicted sensor state for the sensor circuit based at least in part on a power-down position recorded at a first time and a final position recorded at a second time, compare the predicted sensor state with the present sensor state, and determine a present position of the covering material based on the comparison of the predicted sensor state and the present sensor state. Methods of adjusting a position of a covering material of a motorized window treatment also are disclosed.

To immediately and appropriately compensate for the effects of disturbances in a cloud-based control system.SOLUTION: A control system 10 is equipped with a feedback control unit that calculates a feedback operation amount for a controlled object based on the controlled variable of a controlled object 520 and the target value of the controlled variable, a disturbance candidate value generation unit that generates one or more disturbance candidate values representing the value of disturbances affecting the controlled variable of the controlled object 520, a feed-forward control unit that calculates the feed-forward operation amount to suppress the influence of the disturbance indicated by each disturbance candidate value, an operation amount calculation unit that calculates the operation amount for each disturbance candidate value based on the feedback operation amount and feed-forward operation amount, a disturbance value measurement unit that measures the disturbance value to obtain the actual disturbance value, an operation amount selection unit that selects the operation amount corresponding to the disturbance candidate value with the minimum distance to the actual disturbance value, and an operation unit that operates the selected operation amount on the controlled object 520.SELECTED DRAWING: Figure 1

The invention discloses a polymerization reaction intelligent monitoring regulation and control method and device based on spectral analysis, and relates to the technical field of intelligent monitoring, and the method comprises the steps: constructing a particle size-track comparison feature library based on a prior polymerization reaction knowledge library, and combining track feature vector prior thresholds of different particle size intervals to obtain a particle size-track comparison feature library; decoupling the mixed spectral signal of the current polymerization reaction, and outputting spectral signals and track feature vectors of different particle size intervals; and comparing the track feature vectors with a prior threshold value, performing abnormal deviation analysis, and triggering a corresponding directional regulation and control strategy according to an analysis result. The technical problems that an existing polymerization reaction monitoring method is poor in real-time performance and low in precision, and abnormal fluctuation in the reaction process cannot be effectively handled are solved, and the technical effects that intelligent monitoring and signal decoupling based on spectral analysis are achieved, real-time and accurate regulation and control of the polymerization reaction process are achieved, and therefore the product quality and the production efficiency are improved are achieved.

Motorized window treatment systems are disclosed. A motorized window treatment system may include a covering material, a sensor circuit, and a control circuit. The sensor circuit may be configured to generate sensor signals indicative of a position of the covering material. The control circuit may be configured to determine a present sensor state of the sensor circuit, determine a predicted sensor state for the sensor circuit based at least in part on a power-down position recorded at a first time and a final position recorded at a second time, compare the predicted sensor state with the present sensor state, and determine a present position of the covering material based on the comparison of the predicted sensor state and the present sensor state. Methods of adjusting a position of a covering material of a motorized window treatment also are disclosed.

The present invention provides a system and method for detecting and identifying power line carrier controlled devices within an irrigation system having a PLC BUS and a plurality of PLC powered devices. According to first preferred embodiment, the method preferably may include the steps of: initializing a controller; transmitted an identification signal onto the PLC BUS; receiving the transmitted identification signal by a first powered device in the transmission line; recording the signal strength of the received identification signal by the first powered device; reducing the level of the received identification signal by a given increment; receiving the transmitted identification signal by a second powered device in the transmission line; recording the signal strength of the received identification signal by the second powered device; reducing the level of the received identification signal by a given increment; receiving the transmitted identification signal at the controller; polling each powered device for the received strength of the identification signal at each device; creating a lookup table and assigning a system ID number to each powered device based on the reported signal levels received by each device; and sending communications signals to the first powered device based on the system assigned ID number indicated in the lookup table.

The invention discloses an automatically-controlled full-automatic cell culture system control scheme, relates to the technical field of cell culture and automatic control, and constructs a distributed control network with an industrial personal computer in a man-machine interaction system as a central command center. Real-time and two-way communication with local control panels of all functional systems is established through various field bus protocols, and each system is an execution unit with independent processing capacity and is responsible for receiving high-level process instructions and analyzing the high-level process instructions into accurate pulse control over a bottom servo motor and a stepping motor, so that the control precision of the system is improved. According to the framework, the central controller can efficiently arrange space-time action sequences of the six-axis robot, the electric clamping jaw and all functional systems in a task scheduling mode, whole-course automatic assembly line work from taking out of a cell bottle from a storage rack, transferring, uncovering, pipetting, liquid adding and centrifuging to finally putting into an incubator is achieved, manual intervention nodes are eliminated, and the working efficiency is improved. And the absolute standardization and repeatability of the operation are ensured.

A bridge device, in communication with a smart device, functions to command one or more controllable appliances in response to communications received from the smart device. The bridge device also includes input elements by which the bridge device can be used to directly command common functional operations of the one or more controllable appliances. In this manner, common functional operations, such as volume control, playback pause / resume control, etc., may be made readily available without necessitating the use of the smart device, whilst the more sophisticated GUI provided by the smart device remote control app may be advantageously utilized when more complex or less frequently used command functions are to be performed.

Systems and methods use a computer vision camera to determine where bridles and other rigging items are positioned and provide that information to a control system. This information is used to place the elements of the rigging system before each live performance.