30results about How to "Quick compensation" patented technology

The invention discloses an electro-hydraulic brake-by-wire system based on a CPS architecture and an energy optimization method. The method comprises the following steps: acquiring driver input data of a vehicle and working condition data of vehicle driving; performing data processing on the driver input data and the vehicle driving working condition data; working condition prediction is carried out according to the processed data, and a rolling time domain driving working condition prediction result is obtained; according to the obtained working condition prediction result, an electro-hydraulic composite braking overall objective function is solved, and an optimal braking strategy is obtained; and vehicle braking is conducted according to the optimal braking strategy, and braking system energy optimization is completed. Braking is conducted according to the current vehicle state in combination with working condition prediction, the energy optimization strategy is perfected, reasonable braking torque distribution is achieved, energy consumption of the electro-hydraulic composite braking system is further reduced, and energy conservation and emission reduction of the whole life cycle of the vehicle are achieved.

The invention relates to the technical field of power system control, in particular to a D-STATCOM coordination control method for a system short circuit fault. On the basis of a traditional double-closed-loop control strategy, an outer loop achieves voltage control, an inner loop rapidly tracks current, a control link based on the bus voltage change rate and a transient rapid reactive compensation control link are introduced into the outer loop voltage control, and after q-axis reactive reference current output in the outer loop control is modified, the current is subjected to rapid reactive compensation control. And the voltage is sent to inner loop control, a control signal is generated and input into SPWM to obtain a trigger signal of an IGBT, and the D-STATCOM is controlled to send out reactive power to compensate the voltage. The method has the advantages that the reactive compensation capability of the D-STATCOM in the short-circuit fault is improved, and the like.

The invention provides a screw locking correction method and system based on machine vision, equipment and a medium. The method comprises the following steps that a film placed in a calibration groove of a calibration plate is controlled to be sucked; controlling to collect the image of the sucked film to obtain the center of the film; controlling to collect an image of the mark in the calibration groove so as to obtain a mark center; controlling the film to be placed in the calibration groove according to the center of the film and the mark center; controlling to collect the placed image so as to calculate a deviation value between the center of the film and the center of the mark; and compensating the visual system through the deviation value. According to the mechanism, rapid compensation of screw locking alignment can be achieved, mechanism deviation correction can be completed without manual intervention, and therefore it is guaranteed that assembly production can be rapidly achieved under the condition that equipment is abnormal.

The invention relates to the field of phased radars, and discloses an active phased array radar calibration method, which is used for improving the accuracy of actually measured phase data. Comprising the following steps: calculating theoretical excitation phases of radiation units according to an antenna array physical geometric structure and a target beam directional angle; enabling the antenna to sequentially excite the radiation units and collect coupling signals in a single-channel mode, and performing analysis to obtain an actually measured amplitude, a phase and a phase deviation; synthesizing the theoretical excitation phase and the phase deviation to generate an actual emission phase, and constructing a phase compensation lookup table; and after compensation by using the lookup table, measuring the actual directional diagram, and if not, performing fine adjustment. The calibration precision and reliability are improved, and the high-precision detection requirement of the active phased array radar can be met.

This invention relates to the field of pipeline seepage prevention technology, specifically to a pipeline seepage prevention deformation control support device based on soft soil foundation. The device is installed at the connection point of two adjacent pipelines. The device includes a bearing ring, a support member, and at least n sets of limiting members. Bearing rings are connected to the outer walls of both pipelines near the connection point. Each set of limiting members includes two bearing plates, arranged in an inverted V-shape with alternating front-to-back arrangements. Each bearing plate has a recessed groove containing a friction plate that slides back and forth. When the lower left side of the n bearing plates on the left side of the n sets of limiting members is far from the lower right side of the n bearing plates on the right side, the two friction plates in the same set make relative pressure contact. The support member supports the limiting members. This invention solves the problem that when a support device supports a pipeline, it easily shifts downwards with the settlement of the soft soil foundation, leading to deformation and leakage at the weak connection point of the supported pipeline.

This invention discloses an acidic oxidizing potential water generator and its preparation method for stable water quality control, belonging to the field of disinfection equipment technology. The device is designed with an inlet module, a brine preparation module, a mixing and control module, an electrolysis module, and a control system. Its core lies in employing a high-precision electric proportional control valve and a millisecond-level PID algorithm to achieve constant pressure and constant flow control of the inlet water flow. The brine preparation module uses a solid natural melting structure combined with closed-loop liquid level control, enabling long-term maintenance with a single salt addition lasting for six months. A built-in water quality prediction model based on electrolysis current (fma) is incorporated, using a specific algorithm formula to calculate pH, ORP, and available chlorine content in real time, achieving "soft measurement" and feedforward control of water quality. This solves the problems of high manual operation intensity and raw material concentration fluctuations, ensuring that the effluent water quality stably meets the high standard disinfection requirements of pH 2.5-2.6, ORP 1112-1115mV, and available chlorine 50-55mg / L.

The invention discloses a scheduling method and system for a micro-grid group, and the method is applied to a target micro-grid group at least comprising a plurality of sub-micro-grids, and the method comprises the steps: obtaining a day-ahead global scheduling scheme of the target micro-grid group; in the process of executing the day-ahead global scheduling scheme, analyzing the operation fluctuation signal to determine the scheduling demand of the first sub-microgrid; determining the operation tension degree of the second sub-micro-grid in a non-fluctuation state; based on the network topology of the target micro-grid group, analyzing the electrical coupling relationship between the first sub-micro-grid and the second sub-micro-grid, and screening according to an analysis result to obtain an effective second sub-micro-grid; preferentially scheduling the effective second sub-micro-grid based on the scheduling demand and the operation tension degree, and determining a scheduling scheme; and adjusting the power output of each second sub-microgrid in the target microgrid group at least according to the scheduling scheme. According to the micro-grid group scheduling method and system provided by the invention, the operation efficiency of the micro-grid group is effectively improved.

The present invention relates to an adaptive anti-interference control method for a hydrogen fuel cell DC / DC element, which belongs to the field of DC / DC control of a hydrogen fuel cell system, and includes: first, considering parameter perturbation and harmonic interference to establish a Boost type DC / DC dynamic model; second, defining the tracking error of the system, designing a specified performance function and performing error conversion to obtain a first unconstrained error model; third, designing a virtual control variable, and designing an interference observer to obtain an estimated value of the harmonic interference; finally, defining a second error model, designing a DC / DC duty cycle adaptive control instruction, and completing the adaptive anti-interference control of the DC / DC element. The present invention realizes the inductor current control of the DC / DC element under the condition of parameter perturbation and double frequency harmonic interference, and has the characteristics of high robustness and easy engineering implementation.

The invention belongs to the technical field of gas separation, and particularly relates to a dynamic control purification system and method for multi-process source hydrogen, and the system comprises a mixing and pretreatment unit, a multi-tower PSA separation unit, a product and waste gas collection unit and a control and execution unit; the mixing and pretreatment unit comprises a gas mixer, a preheater and a deaerator which are connected in sequence; the multi-tower PSA separation unit is connected between the mixing and pretreatment unit and the product and waste gas collection unit through a pipeline, and the multi-tower PSA separation unit at least comprises four adsorption towers which are connected in parallel; the control and execution unit comprises a control module, a first online analyzer and a second online analyzer. Compared with the prior art, the problem that in the prior art, operation of a fixed time sequence program cannot effectively cope with impurity fluctuation existing in hydrogen of a mixed source is solved. According to the scheme, on the basis of dynamic regulation and control of the impurity concentration, tiny fluctuation of the product purity is maintained under large feeding concentration fluctuation, and qualified output of the product is guaranteed.

The invention discloses a foot end slip detection and compensation method for a six-wheeled composite robot, and relates to the technical field of anti-slip of robot movement. The method mainly comprises the three steps that firstly, a sliding detection model is built based on a long short-term memory (LSTM) network model, and the model predicts the sliding amount of each foot end only by taking error information of an actual motion state and an expected state of a fuselage as input; secondly, according to the predicted slip amount, obtaining an instantaneous steering center and a compensation rotation angle generated by slipping of the robot through geometric calculation; and finally, according to the calculated steering parameters, the robot is controlled to execute pure rolling steering motion, a supporting polygon is reconfigured through the strategy that the non-slipping swing legs fall down and the slipping legs are lifted up, and motion errors are compensated in real time. The method has the beneficial effects that the hardware cost is low, the system is light in weight, the real-time performance and the self-adaptability are high, and the motion stability of the robot on the complex terrain can be effectively improved.

The invention provides a high-precision electron beam deflection compensation method. The high-precision electron beam deflection compensation method comprises the following steps: S1, monitoring the deflection state of an electron beam in real time; s2, the obtained deflection state serves as an input value, and the compensation amount is calculated; s3, the compensation amount is converted into a control signal, and a compensation device is driven to compensate the electron beam; and S4, performing quality evaluation on the compensated electron beam to ensure the compensation effect. According to the invention, rapid and accurate compensation of electron beam deflection is realized through algorithm and hardware design.

The invention discloses a grinding machine automatic leveling and compensating structure and system based on intelligent perception, and relates to the field of grinding machine leveling, the grinding machine automatic leveling and compensating structure comprises a shaft piece rotationally connected to a grinding machine body and a grinding disc arranged on the surface of the shaft piece, three balancing weights are distributed around the center position of the grinding disc, and a vibration sensor for monitoring vibration of the shaft piece is arranged on the surface of the shaft piece; the grinding device further comprises three sets of hydraulic telescopic pieces evenly distributed on the surface of the grinding disc, each set of hydraulic telescopic pieces comprises two hydraulic telescopic pieces, a carrying piece is connected between the two hydraulic telescopic pieces of each set, the balancing weights are fixedly connected with the carrying pieces one by one, a plurality of hydraulic channels are formed in the shaft piece, and the hydraulic channels are connected with the hydraulic telescopic pieces one by one through control valves. Three sets of hydraulic telescopic pieces are connected with three sets of balancing weights, each set of hydraulic telescopic piece is controlled by hydraulic equipment to move in a telescopic mode so as to be used for adjusting the angle position of the balancing weight on the surface of a grinding disc, the vibration value of a shaft is monitored in real time in cooperation with a vibration sensor, and vibration of the shaft and the grinding disc is automatically and dynamically balanced through the grinding machine.

The invention relates to the technical field of cable manufacturing, in particular to an intelligent tension regulation and control method and system in a cable twisting process, and aims to solve the problems of low regulation and control precision, response lag and weak interference resistance in the prior art. The method comprises the following steps: firstly, introducing a multi-wire tension coupling coefficient according to cable specifications, material flexural rigidity and the number of stranded layers, calibrating a tension reference value by combining real-time environment temperature and humidity, and synchronously extracting roughness and correcting friction parameters through optical characteristics of wire surfaces so as to adapt to equipment speed; training historical data by using an LSTM (Long Short Term Memory) time sequence model, predicting the tension trend in the future 2-5 seconds in real time, performing classified regulation and control according to deviation statistical characteristics, and performing micro-step rotation speed regulation by a servo motor and torque compensation execution by a magnetic powder brake; updating the model when the error exceeds the threshold value or the specification is changed, and periodically finely adjusting the reference value by combining the quality data. The system comprises seven functional modules, the tension control precision and the anti-interference capability can be improved, the adaptability is high, and the cable quality and the production efficiency are effectively improved.

This invention discloses a learning-based fault-tolerant control method and system for quantifiable performance of nonlinear systems, belonging to the field of automatic control technology. The method designs a learning-based fault-tolerant control algorithm that embeds an RBF network to compensate for fault dynamics when a fault occurs. Based on deterministic learning theory, an RBF network is constructed by setting neurons along a desired reference trajectory. Secondly, by analyzing the convergence characteristics of the learning-tolerant control system through sampled data, a detailed quantitative analysis of the learning accuracy and learning speed of the proposed learning-based fault-tolerant control method is performed, and calculation formulas for learning accuracy and learning speed are given. This invention establishes quantitative expressions for learning speed and learning accuracy through theoretical derivation, realizing quantitative analysis and pre-setting of fault-tolerant control performance, and achieving quantitative controllability of learning speed and approximation accuracy while ensuring the closed-loop stability of the system.

This invention provides a method, product, and device for correcting electron microscope (SEM) scan images. The method includes: acquiring the SEM scan image to be corrected and its corresponding design layout; extracting an ideal SEM scan image of the corresponding region of the SEM scan image to be corrected from the design layout; determining corner matching pairs between the SEM scan image to be corrected and the ideal SEM scan image; estimating the perspective transformation matrix between the two images based on the corner matching pairs; performing perspective correction on the SEM scan image to be corrected using the perspective transformation matrix to obtain a perspective-corrected SEM scan image; and outputting the perspective-corrected SEM scan image. This method enables rapid analysis and compensation of SEM images, outputting geometrically distortion-free images without relying on hardware calibration parameters, thus significantly improving the spatial accuracy and automated correction capabilities of SEM images.

The application discloses a kind of electromagnetic transient model construction method, device, terminal equipment and storage medium, belong to electric power model construction technical field, above-mentioned method first obtains the electromechanical transient model of to-be-converted electric power system and operating response characteristic;Electromechanical transient model is converted into corresponding initial electromagnetic transient model and determines initial electromagnetic transient model parameter;Initial electromagnetic transient model parameter and operating response characteristic are input into trained parameter correction model, so that parameter correction model outputs electromagnetic transient model candidate parameter;According to electromagnetic transient model candidate parameter, electromagnetic transient model is constructed;Parameter correction model is input with initial electromagnetic transient model parameter sample, operating response characteristic sample of electromechanical transient model and actual equivalent electromagnetic transient model parameter, and is obtained after iterative training with predicted equivalent electromagnetic transient model parameter as output;By implementing the present application, the problems of complex and low efficiency of manual parameter adjustment can be effectively solved.

The application discloses an efficient tracing and optimization adjustment method for AC power flow calculation non-convergence problems based on linear optimal power flow, and first, an operation condition of AC power flow non-convergence is acquired; second, an optimization adjustment model based on linear optimal power flow is constructed; then, a power flow non-convergence tracing constraint is introduced into the optimization adjustment model, so as to construct a power flow convergence optimization adjustment model; next, the operation condition of AC power flow non-convergence is input into the power flow convergence optimization adjustment model, and non-zero power relaxation amounts P1, P2, P3 and P4 are solved; finally, based on the non-zero power relaxation amounts P1, P2, P3 and P4, power compensation is performed on corresponding nodes, the power flow distribution is changed, and AC power flow convergence is realized.

This invention relates to the field of architecture and construction technology, and discloses a Bailey bridge platform, a support system, and a construction method. The platform includes a Bailey bridge platform base, a first support plate at the top of the base, and three sets of equally spaced guide components at the top of the first support plate. The top of each guide component is fixedly connected to the bottom of a second support plate, which has a top plate. The bottom of the second support plate symmetrically abuts against contact blocks, and each contact block is connected to a connecting plate. By allowing sliding blocks to move within one end of a sliding cavity, the distance between two sliding blocks can be adjusted to match the lateral distance of the installation area. This improves the stability of the Bailey bridge platform base and other components after connection and fixation, and also allows for easier handling and rapid compensation of errors during construction.

This invention provides a follow-up loading device and its assembly method, belonging to the field of mechanical loading technology. The follow-up loading device includes: a fixed mounting frame, a fixed pulley, a steel wire rope, a spring, and a hydraulic servo actuator. The fixed mounting frame is connected to the loading surface of the test piece. The fixed mounting frame has a fixed pulley mounting section, and the fixed pulley is fixed on the fixed mounting frame. The steel wire rope connecting the loading surface of the test piece passes through the fixed pulley and connects to the spring. The spring is vertically suspended between the fixed pulley and the hydraulic servo actuator. The hydraulic servo actuator is in a vertically suspended state, and its end is mounted on an actuator holder. This invention meets the requirements of fixed-angle loading, nonlinear change loading of loading position, and rapid loading of aerodynamic loads, improving the accuracy and reliability of iron bird tests and aircraft movable wing tests. It is used for simulating large displacement and rapid follow-up loading of aerodynamic loads in iron bird tests and aircraft movable wing tests.

Provided in an embodiment of the present application are a block chain communication method, related device, storage medium and computer program product, the method being applied to a first node, the method comprising: the first node receiving first information sent by a second node, the first information comprising a first Internet Protocol (IP) multicast address; wherein the second node is used for managing at least one chain identifier and an accounting node group address and an IP multicast address corresponding to a channel identifier under the chain identifier; after the first block sent by the first sorting node is received, converting the first block into a second block; the second block is sent to all the first accounting nodes in the multicast tree corresponding to the first IP multicast address in a first preset mode, the first preset mode comprises an IP multicast mode, that is, the first node only needs to send the second block once, and all the related accounting nodes can receive the second block, so that the network communication bandwidth overhead and the communication time delay can be reduced, and the network communication efficiency is improved. And thus, the block chain service deployment and operation cost is reduced.

The invention relates to a cross coupling fractional order sliding mode control method for a variable pitch system of a wind driven generator, and belongs to the technical field of electro-hydraulic control. The method comprises the steps that the current wind speed of the variable-pitch system of the wind driven generator is determined, when the wind speed is larger than the cut-in wind speed and smaller than the rated wind speed, a controller sends a command to the variable-pitch system, the pitch angle is changed from 90 degrees to 0 degree, and the variable-pitch system starts to work; when the wind speed is larger than the rated wind speed and smaller than the cut-out wind speed, the optimal pitch angle is obtained according to the current wind speed, a controller sends a command to a variable pitch system, synchronous closed-loop adjustment is conducted on the pitch angles of the three blades, and meanwhile the controller is compensated based on the synchronous error among the three pitch angles; and when the wind speed is greater than the cut-out wind speed, the pitch angle is adjusted to 90 degrees, and the generator stops working. According to the method, unknown external disturbance and internal uncertainty in the electro-hydraulic variable pitch system of the wind driven generator can be accurately estimated, and meanwhile, the synchronization error between adjacent blades is compensated.

This invention discloses a transformer core silicon steel sheet cutting device, relating to the field of transformer core silicon steel sheet cutting technology. It includes an upper and lower longitudinal cutting shaft arranged parallel to each other and rotatable relative to each other. Multiple disc cutters for cutting silicon steel sheets and multiple spacers for supporting and separating the disc cutters are staggered on both the upper and lower longitudinal cutting shafts. A lubrication mechanism is located on the feeding side of the longitudinal cutting mechanism, an anti-escape mechanism is located on the discharge side of the longitudinal cutting mechanism, and a blade adjustment mechanism is located on the upper longitudinal cutting shaft. The advantages are: by integrating the lubrication and anti-escape mechanisms, "precise lubrication" and "efficient recovery" are achieved in the cutting process, reducing the frequency of downtime and blade replacement due to tool wear, thereby significantly extending the overall service life of the tools. Combined with online backlash monitoring and the rapid axial fine-tuning function of the blade adjustment mechanism, it can quickly compensate for the decrease in accuracy caused by natural tool wear, extending the effective working time within a single tool replacement cycle.

The invention relates to the technical field of power system control, and discloses an active loss compensation method, computer equipment, a storage medium and a program product, and the active loss compensation method comprises the steps: obtaining historical data which comprises historical total-station active actual transmission and historical total-station active loss of a grid-connected point; constructing a coefficient matrix between total-station active actual transmission and total-station active loss based on historical data; predicting the total-station active loss at the next moment based on the total-station scheduling active instruction at the current moment and the coefficient matrix; and performing power compensation on the total station active loss at the next moment by utilizing the energy storage power station based on the total station active loss at the next moment. According to the invention, the problem of inaccurate active loss information prediction can be solved, and rapid power compensation is realized.

The present invention discloses a multi-agent sliding mode fault-tolerant control method under a finite-time observer. For a second-order nonlinear multi-agent system with unknown disturbances and actuator faults, a finite-time observer is proposed to achieve real-time observation of the disturbance and fault information suffered by the agent. According to the relative state information between the multi-agents, the consistency error variable is defined. Then a novel sliding surface is proposed, and a distributed adaptive sliding mode fault-tolerant method is designed by combining it with an artificial potential function. The present invention can eliminate the influence of faults and unknown disturbances on the system, and realize connectivity preservation when the multi-agent system reaches a consistent state.

A training system, a training method, a dimming system, a dimming method, a computer-readable recording medium having a stored program, and a non-transitory computer program product, in which the training method is for training a neural network module to be trained, performed by a processing module; the to-be-trained neural network module comprises a target image generation module, a to-be-trained neural network and a light distribution generation module; the training method comprises the following steps in a training round: repeatedly executing: taking a training image in a training set as an input image; performing convolution operation on the intermediate compensation image of the training image and the light distribution to generate a convolution image; and obtaining loss based on the convolution image and the target image; and updating the plurality of parameters based on an average of all losses obtained in the previous step and an update algorithm.

A method for polarization compensation includes: (a) generating at least one beam of an electromagnetic wave; (b) sending the at least one beam through a physical medium; (c) receiving the at least one beam of an electromagnetic wave after it has traversed the physical medium; (d) measuring the intensity of the electromagnetic wave after it traverses a system of electromagnetic retarders; (e) determining the polarization of the electromagnetic wave after it traverses the system of electromagnetic retarders; (f) calculating the positions of the electromagnetic retarders to match the determined polarization of the electromagnetic wave with the polarization of the generated electromagnetic wave; and (g) compensating the effect of the physical medium on the polarization of the electromagnetic wave by setting the electromagnetic retarders according to the calculated positions.

The invention discloses an inverse model control method for a seat adaptive adjusting mechanism. The method comprises the following steps: acquiring a real-time running state data stream and an expected seat supporting force instruction; extracting a current sitting posture feature vector through a seat posture sensing module, matching the current sitting posture feature vector with a sitting working condition feature library, and generating a seat posture mode code and a model performance degradation index; activating a target sub-inverse model in a pre-trained pluggable light quantum inverse model set to obtain an initial prediction adjustment driving signal; when a model performance degradation index exceeds a threshold value, performing online rapid optimization on an adjustable parameter subset of the target inverse sub-model by using a corresponding improved crow search algorithm optimizer instance; the model is updated according to the parameter adjustment amount generated through optimization, and a final seat adjustment driving signal is generated to drive a seat self-adaptive adjustment mechanism by combining with multi-model weight arbitration strategy fusion output. According to the method, self-adaptive matching of the inverse model to working conditions and rapid compensation of performance degradation are realized, and the control precision and adaptability are improved.

The invention relates to the technical field of printing quality control, in particular to a printed image registration automatic detection and adjustment system supporting spot color expansion and closed-loop control. The method comprises the following steps: an image acquisition and preprocessing unit acquires an image of a registration detection identifier on a printed matter, and performs denoising, correction, graying and other processing to obtain a standardized image; the decision and control unit calculates the registration deviation value of each color through circle center detection, size calibration and spot color configuration based on the standardized image; and the execution adjusting unit converts the deviation value into a control instruction, and a PID algorithm is adopted to drive the printer to execute a compensation action. According to the system, the spot color is flexibly incorporated into detection through the spot color configuration module, the limitation that only CMYK four-color detection is supported traditionally is broken through, meanwhile, closed-loop control is formed by combining a PID algorithm with real-time state feedback, and the problems that a traditional system is insufficient in spot color adaptability and unstable in registration adjustment precision are solved.

The utility model discloses a PE (Poly Ethylene) blow-off ball valve, which comprises a valve body and a ball body rotatably arranged in the valve body, the ball body and the valve body are sealed through a sealing assembly, and the PE blow-off ball valve is characterized in that the sealing assembly comprises an inclined ring, one side of the inclined ring is propped against the inner wall of the valve body, and the other side of the inclined ring is propped against the inner wall of the valve body; one side of the ring seat abuts against the outer wall of the ball body, and the other side of the inclined ring is movably connected with the other side of the ring seat; wherein the axis of the inclined ring can incline in the three-dimensional direction relative to the axis of the ring seat, and the inclined ring and the ring seat are arranged, so that even if the flatness of the interior of the valve body has an error, the valve body cannot be damaged; and the inclined ring can be inclined to be attached to the plane in the valve body through the design that the axis of the inclined ring is inclined relative to the axis of the ring base in the three-dimensional direction, the inclination of the inclined ring cannot drive the ring base to incline, and after the ball is installed, the ring base can be attached to the ball without being affected.