86results about How to "Easy to implement online" patented technology

The invention relates to a method for online quantitative-diagnosing a battery micro-short-circuit fault. The method comprises the following steps: pre-establishing a relation table of electric quantity and a charging-discharging voltage, and storing; in an online diagnostic process, performing table lookup or interpolation in the relation table on the voltage while the charge/discharge is over, to obtain the electric quantity of a battery while the charge/discharge is over, thereby estimating a micro-short-circuit current according to the change of the electric quantity along with the time, and judging whether a micro-short-circuit is existent and the severity degree according to the size of the micro-short-circuit current. In allusion to end conditions of a battery pack, such as fully charged, fully discharged, non-fully charged, and non-fully discharged, corresponding diagnostic methods are provided for forming an all-around diagnosis framework. In order to solve problems that the battery is aged and the diagnosis accuracy degree and the calculation precision of the micro-short-circuit current can be affected because the environment temperatures in the different times of the charging and discharging are different, a compensated solution scheme is implemented. The method for the micro-short-circuit current is capable of detecting the micro-short-circuit fault in advance, andoutputting the size of the micro-short-circuit current so as to estimate the severity degree of the fault, and providing the basis for measures, such as warning or answering.

The invention provides a method for judging whether continuous phase changing of a direct-current system fails on basis of short-circuit ratio dynamic tracking. The method includes the following steps of calculating the ESCR and the MSCR i of an alternating-current system under the condition that the alternating-current system operates normally, calculating the ESCR and the MSCR i of the alternating-current system under the condition that line faults occur and power is cut off, sequencing the line faults, combining the poorest interlocking fault sets, calculating the ESCR 1 and MSCR 1 of the alternating-current system on the condition of interlocking faults, and judging whether phase changing fails. By means of the method, feature analysis is carried out on transient voltage instability accidents which probably exist in existing and planned alternating-current and direct-current hybrid power grids, fault screening and sequencing can be effectively carried out according to hazard degrees of alternating-current faults to stable operation of the direct-current system, by combination of the current transfer situation after the faults, the interlocking fault sets are reasonably built, and failures of continuous phase changing of the direct-current system and received-end power grid voltage instability risks after the faults can be quickly evaluated.

A decoupling-control method of non-square system in industrial process includes modifying internal model control structure to add a one order filter in feedback loop of system out for increasing robust stability of system, using relevant function means of pair non-square course to derive internal mode controller, eliminating unstable factor in said controller by adding compensation item and approximating finally obtained internal model controller to be low order controller being realized easily.

The invention discloses a model-free weight controlling method for an injection molding product. In order to solve the problems of frequent operation parameter variation, difficult process modeling and finite model precision and the like during injection molding production, model-free quick product weight control is realized by using the characteristics of low cost and repeated batches of the injection molding production. The method is favorable for reducing the test expenses of a product weight control process and shortening the control time; moreover, the method has significance for improving the weight control efficiency during injection molding and achieving the effects of energy saving and emission reduction during injection molding industrial production.

The invention relates to an online identification and visualization method for power grid disturbances based on multi-resolution wavelet analysis, which belongs to the technical field of wide-area dynamic monitoring and visualization of power systems. The method comprises the following steps: carrying out offline simulation analysis on the features of typical dynamic disturbance accidents in power grid, and selecting a wavelet function Psi and the decomposition layer-number I corresponding to the obtained maximum wavelet coefficient energy as online wavelet multi-resolution analysis tools; carrying out regionalization according to the PMU (power management unit) configuration situation of a target power grid, so that each region has one and only one PMU substation for measurement, and transmitting frequency signals measured by each PMU substation to a WAMS (wide area measurement system) master station; acquiring frequency signals of each PMU substation from the WAMS master station, and carrying out I-layer online wavelet multi-resolution analysis on the frequency signals by using the determined wavelet function so as to obtain wavelet coefficients of an I(th) layer; and discriminating disturbance occurrence time, disturbance occurrence potion and disturbance type according to the wavelet coefficients; and carrying out visualized display through taking a map as the background. The method disclosed by the invention can improve the running reliability of an electrical power grid.

An industrial process control technology field two-input-output system's decoupling control method, it lets the reverse decoupling structure's decoupling machine and the controller into one decoupling control machine, and it forms the unit feedback control structure. By adding the compensation item, it can eliminate decoupling controller machine's unstable factors. It designs the decoupling controller machine's sub-controller base on the inner module theory, then the final decoupling control machine is almost the easy implement PID/PI controller. When has the actual operating control, the first is deduce the controller parameter's lowest borders which can meet the LuBang stability condition. Then on the base of this border minimum, separately enlarge every loop's control parameter monotonously until gain the system mark capability which complies with the project's requirements. The control method structure of this invention is simple and easy to achieve, and has wide applicability and is easy to operate, it can quickly accurate tuning control parameters and makes the closed loop control system meet the LuBang stability requirement.

The invention discloses a method for determining the optimal object plane and the optimal image surface of a photoetching projecting device, and the relevant device thereof. The invention utilizes a two-dimensional exposure method, namely, the stepping of a mask and a wafer in a certain range is controlled to obtain a group of exposure markers corresponding to the different object plane and optimal image positions on the wafer, the resolution ratio of the groups of exposure markers is compared to determine the position of the optimal object plane and image surface. Compared with the prior art, the precision of the optimal object plane and the optimal image surface obtained by the method is higher, and the cost problem brought in order to provide the high precision in the prior art is solved.

The invention discloses an online dynamic forecast method for polypropylene fusion index. The method comprises the steps of starting a prepared fusion index online forecast program through clicking a button on an industrial control computer configuration interface, and, based on a dynamic forecast mathematical model for the whole flow process polypropylene fusion index and in combination with the fading memory augmentation least square method, realizing the online forecast of the polypropylene fusion index. The most important characteristic of the method is that in the state of continuous production of a polymerisation device by online measurement and calculation of the input flow-rate ratio of hydrogen and propylene and polymerization temperature, the fusion index of polypropylene resin can be online forecasted in a very wide range, so the method has the advantages of being simple and effective, easy to implement and low in cost. Through use of the method, detection frequency and efficiency of critical quality of polypropylene are greatly improved, discharging of unqualified products can be reduced and production and economic efficiency and market competitiveness can be increased.

Disclosed is a novel control system and method for an auxiliary inverter of rail transit. The system comprises an output-voltage instantaneous value feedback module, a filter capacitor voltage feedforward module and a diode front busbar voltage differential feedforward module. The control method includes: firstly, controlling an effective value of output voltage to be stabilized through the output-voltage instantaneous value feedback module; secondly, inhibiting influence on output voltage due to busbar voltage fluctuation through the filter capacitor voltage feedforward module; thirdly, increasing dynamic response speed of the filter capacitor voltage feedforward module through the diode front busbar voltage differential feedforward module; fourthly, summing a feedback modulation ratio ao, a feedforward modulation ratio adc and a differential feedforward modulation ratio ad respectively outputted by the output-voltage instantaneous value feedback module, the filter capacitor voltage feedforward module and the diode front busbar voltage differential feedforward module to obtain a total modulation ratio. Based on multi-compound differential feedforward, resistance of the auxiliary inverter to busbar voltage change is improved, and stability and reliability in output voltage of the auxiliary inverter are guaranteed.

The invention provides an active anti-carsickness assistant driving control method of an autonomous vehicle. To solve the problem that passengers of the autonomous vehicle are easy to get carsick, thetaking comfort of the autonomous vehicle is improved to prevent a phenomenon that the passengers get carsick; by establishing an optimization control problem with carsickness prevention as an evaluation index, calculating a feasible interval of a command accelerated speed on line, calculating an accelerated speed optimal value by using a MatLab command function fmincon and dynamically calculatingan accelerated speed command which meets active carsickness prevention, the active anti-carsickness assistant driving control of the autonomous vehicle is realized. The active anti-carsickness assistant driving control method of the autonomous vehicle has the advantages of less design parameters, simple design, easy understanding, simple and convenient online implementation and high practicability.

The invention discloses a plane profile trajectory tracking control method. The plane profile trajectory tracking control method comprises the steps that based on a plane profile trajectory tracking control state space mathematic model, a full-state feedback tracking controller is designed by solving a Riccati matrix equation, the input voltage of an X-axis motor and the input voltage of a Y-axis motor of a numerical control machine tool are then calculated, and the high-speed and high-precision stabilized tracking control over plane profile trajectory position functions sX and sY by the numerical control machine tool is achieved. The plane profile trajectory tracking control method has the advantages that the profile trajectory controller is designed by directly adopting the double-axis tracking control state space model, and the synchronous coordinate tracking control over the two spindle motors is achieved; the tracking controller only has one adjusting parameter, and thus online implement is easy, convenient and reliable.

The invention provides a lithium-ion battery pack external short circuit fault diagnostic method based on two-stage model prediction, and relates to the technical field of lithium-ion power battery safety. Firstly, an external short circuit experiment is conducted on a lithium-ion battery pack, a battery pack external short circuit two-stage equivalent circuit model is constructed, tested experiment data are used, and thus optimality identification is conducted on battery model parameters; then the battery state in the battery pack is judged in operation according to battery measuring data, when abnormality of part battery voltage occurs, adjacent battery units of the battery unit with abnormality are marked as a whole and are written as an abnormal battery pack, a first stage battery model is started, if the error of the first stage battery model is less than a critical threshold value, then a second stage battery model is started, and model errors are calculated to obtain; and finally, fault diagnosis is conducted on the abnormal battery through goodness fit of the measured data and the two-stage model. The lithium-ion battery pack external short circuit fault diagnostic method is simple in step, easy to achieve on line, high in reliability and is suitable for on-line fault diagnosis and safe management of the electric vehicle power battery.

The invention discloses a method and device for air-fuel ratio tracking control over a hay mower gasoline engine. Based on a hay mower gasoline engine air-fuel ratio dynamic disturbance mathematic model, the variable of integration of air-fuel ratio tracking deviation signals is adopted, and an air-fuel ratio disturbance expansion mathematic model is formed; combined with a state feedback controller and the pole assignment technology, a controller of air-fuel ratio tracking object set values is designed. The method and device have the advantages that within a wide range of rotation speed and air inlet temperature changing of the gasoline engine, precise tracking control over the engine air-fuel ratio can be achieved, the air-fuel ratio is kept at the theoretical target value as far as possible in steady and transient operation of the gasoline engine, the fuel efficiency is improved, emission of CO, NOX and other harmful gases is reduced, and the control level over operation of the gasoline engine system is greatly improved.

The invention discloses a physical layer security resource allocation method in an ICV network, solves the problem that an existing allocation mode cannot optimize V2V time delay, and belongs to the technical field of wireless communication. The method comprises the following steps: S1, a sending vehicle in each V2V link being an intelligent agent, the intelligent agent being realized by adoptinga deep reinforcement learning network and comprising a trained target network and a real-time network, and the target network being used for updating parameters of the real-time network; S2, each intelligent agent obtaining local observation of the environment, including information of legality, interference and eavesdropping channels, sending load, time delay limitation, training iteration timesof a target network and exploration utilization probability; S3, each intelligent agent outputting an action by using a real-time network according to local observation, wherein the action comprises afrequency band occupied by signal sending and transmitting power; S4, the target networks of all the intelligent agents receiving the same reward from the environment, the environment entering the global state of the next moment, executing the step S2, and the reward comprising the system secrecy capacity and the time delay limit.

The invention discloses an open-circuit fault diagnosis method for a neutral-point clamped single-phase three-level inverter. The method comprises the following steps of: obtaining neutral-point clamping bus current information by changing a detection mode of a current sensor, and obtaining a corresponding relationship among a switching state of two bridge arms under a normal condition, a phase current and a theoretical current value detected by the current sensor through off-line calculation; establishing a corresponding relation between a current sensor detection current actual value and different power tube open-circuit fault conditions when the phase current has different polarities, and setting a fault diagnosis rule according to the change of the current sensor detection value in thecorresponding relation; and carrying out the open-circuit fault diagnosis of the single-phase three-level inverter by comparing the change relationship between the theoretical current value detectedby the current sensor and the actual value acquired on line and combining a fault diagnosis rule. The method provided by the invention is independent of an adopted control strategy, is simple to implement, does not need a complex online calculation process, is accurate in open-circuit fault diagnosis, and has a good engineering application value.

An online optimization calmness control method for a wheel type movable stage robot aims at a requirement for realizing calmness controlling of the wheel type movable stage robot in a non-complete restraining condition. Firstly, through defining a discrete time three-order dynamics model of the wheel type movable stage robot and a randomly selected initial time limited time window control sequence, a calmness control error sequence in a time window and gradient of the error sequence relative to a controlled input sequence are calculated. Then a Newton's method is utilized for establishing an updating mechanism for each sampling time control sequence. Furthermore according to a rolling optimization control principle, a controlled input amount at each sampling time point is calculated, thereby realizing calmness controlling to the wheel type movable stage robot. The online optimization calmness control method according to the invention has advantages of easy understanding, small number of setting parameters, high versatility and simple online calculation. Furthermore the online optimization calmness control method satisfies a requirement for high real-time performance in quick calmness controlling of the wheel type movable stage robot.

The invention provides an intelligent fault diagnosis method of an aero-engine control system sensor based on a mode gradient spectral entropy, and the method comprises the steps: firstly collecting data of a plurality of measurable sensors in an aero-engine control system in different working states, a normal state and different fault states of the sensor of an aero-engine, and forming a sample data set; preprocessing collected sensor data, and processing preprocessed sample data of each health state through a mode gradient spectral entropy method to obtain a corresponding spectral entropy graph; taking the spectral entropy graph as input to train a CNN network; and after the trained CNN model is obtained, carrying out preprocessing and PGSE analysis on real-time measurement data of the aero-engine control system sensor to obtain a spectral entropy graph, and obtaining a sensor fault diagnosis result by using the CNN model. According to the method, the sensor fault diagnosis accuracy can be improved, the fault mode of a complex nonlinear aero-engine system can be efficiently and accurately recognized, the robustness requirement is met, and the method is not sensitive to noise interference.