33 results about "Controlling for a variable" patented technology

Real-time control of a dynamical system is provided by determining control variables that get as close as possible to producing a desired response. Additional consideration of physical limitations leads to a convex Quadratic Program with inequality constraints that needs to be solved in real-time. A new active set algorithm is described to solve the convex Quadratic Program efficiently that meets real-time requirements. Based on the key observation that the physical limitations of the system translate to optimal active sets that remain relatively unchanged over time (even though the actual optimal controls may be varying), starting guesses for the active set obtained from the final iterate in the previous time period greatly reduces the number of iterations and hence allows the Quadratic Programs to be solved to convergence in real-time.

The invention discloses a mental workload assessment method based on multi-physiological parameter method integration. The method includes the steps of 1, designing controlled variable experiments oriented to five characters of a target complex task, acquiring functional physiological data of the experiments, and preprocessing the acquired functional physiological data; 2, completing the extraction of sensitive physiological characteristics reflecting the changes of different characters on mental workloads from the physiological data; 3, screening the physiological characteristics to remove interference information in the physiological characteristics; 4, integrating physiological indexes under different characters to obtain a comprehensive physiological parameter characteristic system; 5,according to the physiological characteristics under different characters, conducting regression on the physiological data under the task characters by machine learning; 6, according to the comprehensive physiological indexes, describing the mental workload level of a current operator. By means of the method, the operation result can be directly evaluated, and high real-time performance is achieved; besides, the accuracy is high, and the status of task execution personnel can be monitored in real time.

The invention discloses a structured network model compression acceleration method based on multistage pruning, and belongs to the technical field of model compression acceleration. The method comprises the following steps: obtaining a pre-training model, and training to obtain an initial complete network model; measuring the sensitivity of the convolution layers, and obtaining a sensitivity-pruning rate curve of each convolution layer through controlling variables; carrying out single-layer pruning from low to high according to a sensitivity sequence, and finely tuning and re-training a network model; selecting a sample as a verification set, and measuring the information entropy of the filter output feature map; performing iterative flexible pruning according to the size sequence of theoutput entropy, and finely tuning and re-training the network model; and hard pruning: carrying out retraining on the network model to recover the network performance, and obtaining and storing a lightweight model. According to the method, the large-scale convolutional neural network can be compressed on the premise of maintaining the original network performance, the local memory occupation of the network can be reduced, the floating point operation and the video memory occupation during operation are reduced, and the lightweight of the network is realized.

A fault-tolerant control system and method for variable-speed variable-pitch wind turbines with an inverter-fed generator. When generator faults are detected, the generator torque and/or flux is limited to prevent propagation of the faults and possible failure and shutdown of the generator. The control system and method improves on two-loop control methods for variable-speed variable-pitch wind turbines and provides improved power delivery under fault conditions.

The invention discloses a wing design method considering pneumatic and structural multi-type design variables, which comprises the following steps of: firstly, constructing a parameterized shape by utilizing a three-dimensional category/shape function according to a shape control variable obtained in a pneumatic design process, obtaining Cartesian coordinates of a pneumatic shape point, and generating a smooth pneumatic shape curved surface on the basis of the shape point; By picking up controllable design variables in the wing structure tree, the internal structure arrangement of the wing under a given appearance is realized; By utilizing a neighborhood interpolation technology represented by RBF interpolation and taking an aerodynamic shape as a constraint, efficient follow-up matching of the structure arrangement and the shape parameters is realized; and finally completing the three-dimensional wing design under the coupling effect of the pneumatic/structural subject according to the independent or dependency relationship of different types of design variables on the model tree through a file positioning analysis method. Contents of two subjects of a pneumatic/structure are considered, linkage updating of the model is achieved, and the method has the advantages of being high in universality, wide in application range and convenient to use.

The invention relates to an energy efficiency assessment method for a coal-fired power plant ultra-low emission environmental protection island, which comprising the steps of firstly proposing a system operation energy efficiency assessment method in allusion to characteristics of a system to be assessed by combining relevant operation information and data, building an energy consumption calculation model for a coal-fired power plant environmental protection island system, setting an energy efficiency assessment index with an operation effect of the environmental protection island system beingconsidered, comprehensively analyzing and assessing the operation energy consumption level of the environmental protection island system on the whole, focusing analysis and assessment for main energyconsumption equipment in each subsystem and power utilization conditions of the system at the same time, acquiring influence laws of different factors for the energy consumption of the system according to a variable control method on the basis, and putting forward an optimized energy-saving operation control strategy in allusion to actual operating conditions of the power plant. According to theinvention, assessment analysis can be performed on operation energy consumption characteristics of the coal-fired power plant ultra-low emission environmental protection island system, the energy consumption characteristics of the environmental protection island system can be comprehensively analyzed in detail, and a reference is provided for decision making of the operating personnel and the management staff of the power plant.

The invention discloses a precise variable fruit tree pesticide application robot based on multiple sensors. The robot comprises a self-propelled system, a laser sensor (10), a camera (11), an industrial personal computer and a single chip microcomputer (9); the self-propelled system is used for installing equipment and driving the whole robot to move forward; the laser sensor (10) is used for detecting whether or not a target exists, sending a signal to the industrial personal computer after the target is detected and collecting and transmitting distance information to the industrial personal computer; the camera (11) is used for collecting images of the target and transmitting the images to the industrial personal computer for processing; the industrial personal computer is used for receiving the target signal of the laser sensor (10), judging the disease level according to the collected image information, obtaining the total canopy volume of the target according to the distance information of the target to determine the pesticide spraying amount and transmitting the pesticide spraying amount information to the single chip microcomputer (9); the single chip microcomputer (9) is used for receiving the pesticide spraying amount information, controlling a pesticide supply system to supply pesticide to a variable spraying system and controlling the variable spraying system to apply the pesticide. The robot obtains the accurate pesticide spraying amount by accurately detecting the volume of the target and identifying the degree of diseases and pests.

The present invention provides a system and method for an online optimization for a non-linear cognitive wireless. The optimization is achieved by using qualitative model on the system which provides information in the form of monotonic influence diagram. The influence graph represents the state (control variables, goal variables and intermediate variables) and their dependency information using a graphical model incorporating monotonicities information. The present invention also incorporates learning features to build a compact history for reducing bad configurations online. The invention also provides a control engine which achieves the near optimum control of the cognitive wireless network by using the network state information along with the qualitative model.

The present invention discloses an intersection signal time assignment method with a contraflow variable lane. The method comprises the following steps: 1) arranging a contraflow variable lane intersection ring structure signals phase sequence design; 2) determining the saturation flow of a contraflow variable lane; 3) setting contraflow variable lane intersection signal time assignment parameter calculation; 4) controlling the determination of variable constraint conditions; 5) constructing and solving a cooperation optimized objective function; and 6) outputting optimal signal control schemes. The intersection signal time assignment method with a contraflow variable lane fully considers the influence of arrangement of a variable lane on vehicles at an intersection, the signal phase sequence design is performed based on a ring structure, the minimum of the average vehicle delay time at the intersection and the contraflow variable lane starting time are taken as optimal targets, a cooperation optimized model of the contraflow variable lane control parameters and signal time assignment parameters is established, and an optimal contraflow variable lane and signal time assignment scheme is searched in the operation safety constraint condition so as to realize the maximum control benefit in the condition of the maximum safety of the contraflow variable lane.

According to the passenger road traffic accident damage prediction method provided by the invention, the passenger injury influence simulation matrix is formed by selecting the research parameters, sothat the main effect and the interaction effect of each influence parameter can be analyzed, coupling analysis among the parameters is realized, and the output precision of damage prediction is improved. Through parameterized finite element modeling, an accident simulation model under any working condition can be obtained, variables can be controlled in research, only influence parameters needingto be researched are changed under the condition that most parameters are fixed, and the defects that accident data is large in individual difference and parameter extraction lacks a unified standardare overcome. In addition, finite element modeling is convenient and fast, and a database is provided for development of a damage output prediction algorithm. Damage output in a finite element simulation mode can be refined to all body parts, and a more direct and detailed damage prediction result can be provided in future traffic assistance.

Systems and methods for operating an engine and a torque converter are presented. In one example, slip of a torque converter is adjusted via at least partially closing or opening a torque converter clutch in response to vehicle vibration. The vehicle vibration may be based on road surface conditions and an actual total number of operating cylinders of the engine.

The invention discloses an optimal separation factor solving method based on a planetary hydraulic drive hybrid power vehicle, belongs to the field of new energy vehicles, and is an important controlvariable in a hybrid power vehicle system by taking a separation factor as a proportion index of power output to a mechanical path by an engine to the total output power of the engine. The method provided by the invention starts from the required power of the vehicle; the rotating speed of an engine is calculated according to the vehicle speed, in combination with the influence of the efficiency of two hydraulic pump motors in the system, the working point of the engine enabling the whole hybrid power system to have the optimal efficiency is obtained through reverse iteration, and three timesof iteration correction exist and include separation factor iteration, torque iteration and efficiency iteration. According to solving of the optimal separation factor described by the method, the efficiency of the hydraulic pump is considered, so that the value of the optimal separation factor is more accurate, energy distribution is better optimized and controlled, and the economical efficiencyof the whole vehicle is better.

The invention belongs to the technical field of agricultural production equipment, in particular to an intelligent control method and device for real-time variable fertilization of corn intertillage.The intelligent control method corrects the average value of NDVI spectral data in real time through an intelligent algorithm of a learning function according to real-time collected NDVI spectral dataof corn canopy, and continuously adjusts and optimizes a variable fertilization model based on the growth of intertilled corn. The method includes the following steps: 1. acquiring the average valuebefore correction; 2. acquiring a correction coefficient a according to the average value Y(n) before correction; 3. correcting the average value according to the correction coefficient, and calculating the fertilizing amount after correction; and 4. calculating the current NDVI spectral data and the real-time average value to obtain the deviation to determine the difference between the current detected maize plant growth and the overall growth. The intelligent control method solves the problems of poor real-time performance, complicated operation, time and labor consumption and the like of the variable fertilization mode of a prescription map, and solves the problems of low intelligence, large workload, complicated operation, high technical requirements and the like of the variable fertilization mode for real-time control.

The invention discloses a method for determining a key control variant a black and odorous water body and a target value of the key control variant, the method comprises the following steps: (1) collecting or monitoring observation data of n groups of the ferrous ion concentration Fe, the total phosphorus concentration P, the total nitrogen concentration N, the dissolved oxygen concentration D andthe concentration C of chlorophyll a of the to-be-treated black and odorous water body; acquiring a corresponding density function of the ferrous ion concentration; (2) acquiring new data of the total phosphorus concentration P'; (3) acquiring one regression tree not pruned; (4) acquiring k regression trees not pruned; (5) acquiring a pseudo-density function of the ferrous ion concentration; (6)calculating the Jensen-Shannon divergence between the F(Fe) and n G(Fe), taking the maximum value as the measurement of the importance of the total phosphorus; (7) acquiring the importance of the total nitrogen, the dissolved oxygen and the chlorophyll a; (8) acquiring the key control variant of the black and odorous water body; and (9) acquiring a management target value of the key control variant in the black and odorous water body. The environment variant mostly important for the treatment of the black and odorous water body and the management target value of the variant are determined, andthe method is easy to popularize in the treatment of the black and odorous water body.

The invention relates to a dry ice cleaning parameter optimization test platform. The platform involves an air compressor, a connecting pipe, a dry ice cleaning machine, a placing device and a jettingdevice. The placing device comprises a lifting assembly and a rotating disk assembly, wherein the lifting assembly comprises a first driving mechanism, a guide rail and a bracket body; a rotating disc assembly comprises a second driving mechanism and a rotating disc, wherein the second driving mechanism and the rotating disc are arranged on the bracket body; the jetting device comprises at leasttwo jetting pipes, at least two nozzle adjusting brackets and at least two nozzles; each nozzle adjusting bracket is distributed around the rotating disc, each nozzle is distributed around each a rotating disc and movable approaches the rotating disc. According to the dry ice cleaning parameter optimization test platform, platform parameters can be changed for variable control tests so as to obtain the most suitable cleaning system parameters and cleaning process parameters of insulator dry ice electrified cleaning, and meanwhile the test platform has the advantages of being flexible to operation and wide application range.

A method for controlling a personal protection device for a vehicle. The method includes a step of determining a set of control variants for controlling the personal protection device, from a plurality of possible control variants for controlling the personal protection device, using an inaccurate situational value and at least one inaccuracy value, the inaccurate situational value representing a value ascertained using a sensor of the vehicle, and the inaccuracy value defining an inaccuracy of the inaccurate situational value; and a step of selecting a control variant assigned to the inaccurate situational value, from the plurality of possible control variants, as a control variant selected for controlling the personal protection device, if each control variant of the set of control variants is assigned a safety class, which satisfies a safety criterion necessary for controlling the personal protection device.

An internal combustion engine in which the variable cam timing controls for a variable cam timing mechanism include a variable force solenoid mounted within a hollow portion of the camshaft. The variable force solenoid is maintained in place within the hollow camshaft by a tubular shaft fixed to the engine and a bearing between the solenoid and the variable cam timing mechanism.

The invention discloses a creeping mode pump displacement control method based on optimal overall efficiency. The creeping mode pump displacement control method based on optimal overall efficiency aims to solve the problem that variable pump displacement is controlled when a wheel hub hydraulic vehicle is in a creeping mode to coordinate with an engine to control so as to ensure that system overall efficiency is optimal. The creeping mode pump displacement control method based on optimal overall efficiency is based on a wheel hub hydraulic hybrid power system, the hydraulic system swash plateopening degree is determined according to the current creeping speed, then engine working point under the corresponding opening degree is obtained, and the golden mean algorithm is used for iteratively searching for the optimal swash plate opening degree and the optimal engine working point. The creeping mode pump displacement control method based on optimal overall efficiency comprises the following steps that1, the variable pump swash plate opening degree search region is determined; 2, engine demand power is determined; 3, the engine working point is searched for; 4, the target optimizationfunction is set; and 5, solution is obtained through iterating refinement.