5385 results about "Control power" patented technology

The invention relates to the technical field of power systems, provides an association rule analysis-based power load prediction method and system, and aims to solve the problem of hidden fault response lag caused by lack of an equipment health state and load fluctuation dynamic coupling mechanism in the prior art. And the problem of load prediction compensation deviation caused by insufficient weight quantization of the fault propagation path is solved. The method comprises the following steps: generating equipment state data according to a vibration spectrum and an insulation aging index of power equipment; performing fusion analysis, generating an equipment health degree evaluation index, and establishing a dynamic influence model of the equipment abnormal event on the power grid load fluctuation according to the association rule; identifying potential abnormal equipment, performing logic mapping, and generating a fault propagation path weight; and dynamically adjusting according to the weight to obtain an adjusted power load predicted value. According to the technical scheme provided by the invention, equipment vibration and insulation aging data are fused, a health assessment and fault propagation model is constructed, and load prediction is dynamically corrected to prevent and control power grid risks.

The invention relates to the technical field of new energy vehicle charging, and discloses a new energy vehicle charging station power supply optimization regulation and control system in a power supply peak period, and the system comprises a processor, a charging demand prediction module, a power supply load distribution module, a real-time regulation and control module, and a power supply performance monitoring module. The charging demand prediction module predicts a charging demand based on historical data and user behaviors; the power supply load distribution module distributes power supply priority and power upper limit according to the prediction result and the power grid state; the real-time regulation and control module adjusts power supply parameters according to the real-time data The power supply performance monitoring module records the regulation response time and the deviation value. In addition, the system is further provided with an energy storage coordination module, a user priority evaluation module and a power grid interaction module which are respectively used for optimizing energy storage management, evaluating user priority and coordinating power grid power supply. The system can accurately predict the charging demand, reasonably distribute power supply resources, regulate and control power supply parameters in real time, and improve the power supply efficiency and stability of the charging station.

The invention discloses a temperature control management method for an electric oven, and relates to the technical field of intelligent household appliance control, and the method comprises the steps: carrying out the offset correction of a pre-stored mode mapping table based on a calibration matrix, loading a target temperature interval and a three-dimensional temperature field partition parameter according to a cooking mode selected by a user, and triggering a dynamic learning mark; according to the dynamic learning mark, the furnace chamber temperature and the environment temperature change rate are collected in real time, the power compensation amount is calculated through a thermal inertia compensation model, and a partition power control matrix is generated in combination with the three-dimensional temperature field partition parameters; and distributing the power compensation amount and the partition power control matrix to the heating pipe according to a preset topology, dynamically adjusting power output, and implementing temperature early warning and no-load identification based on an acoustic emission spectrum entropy value. The temperature gradient change rate is calculated through the Fourier heat conduction law, the three-dimensional temperature field partition parameters are dynamically generated, and accurate control over the temperature field in the complex three-dimensional space is ensured so as to cope with environment changes and user demand changes.

The invention discloses an electromagnetic compatibility testing method and an electromagnetic compatibility testing system for an industrial control power supply, which are used for evaluating conducted interference, radiated interference and immunity performance. The system comprises a load module, a signal connection module, an electromagnetic interference measurement module, an immunity test module, a data processing module and a hardware acceleration module. The load module simulates the actual working state of the industrial control power supply through resistive, inductive, capacitive and dynamic loads; the signal connection module adopts high-frequency shielding and grounding optimization design, so that external interference is reduced; the electromagnetic interference measurement module is combined with the frequency domain analysis and time domain response module to capture interference signal characteristics and power supply dynamic output; the data processing module generates an electromagnetic compatibility report through a comprehensive evaluation algorithm; and the hardware acceleration module realizes real-time processing of high-frequency sampling data by utilizing the FPGA. The method is suitable for the electromagnetic compatibility test of the industrial control power supply in the fields of industrial automation, communication equipment and power electronics, and has wide engineering application value.

According to the power control method and system based on energy storage unit adjustment priority evaluation, an energy storage unit calibrates the charge state, the battery capacity and the health state of the energy storage unit and feeds back the charge state, the battery capacity and the health state to a battery management system; the battery management system verifies a built-in battery state estimation model of the battery management system by using the calibrated charge state and health state; based on the calibrated charge state and the battery capacity, calibrating the energy state range; calibrating the voltage standard deviation coefficient, the voltage range and the temperature range based on the measurement precision of the sensor; taking the weighted sum of each evaluation index score after calibration of the energy storage unit as a comprehensive evaluation score; determining the adjustment priority of the energy storage unit allowed to be adjusted by using the comprehensive evaluation score and the charge-discharge cycle times of the energy storage unit allowed to be adjusted; and selecting the adjustment-allowed energy storage unit with the highest adjustment priority as an execution unit for responding to the scheduling target power instruction, and ensuring the safe and stable operation of the energy storage system at the same time.

The invention provides a wind power control system based on wind speed prediction, and relates to the field of intelligent scheduling control, and the system obtains a time sequence of real-time wind speed values and historical data of the wind speed values in a preset time period, encodes the real-time wind speed time sequence and historical subsequences respectively, extracts global long-term dependence and local disturbance characteristics, and carries out the prediction of the wind speed values according to the global long-term dependence and local disturbance characteristics. Semantic association of real-time features and historical similar scenes is dynamically fused through decision anchor points, a high-precision wind speed prediction value is generated based on fusion, real-time deviation analysis of the prediction value and cut-out wind speed is carried out, and a hierarchical power limiting strategy is triggered by combining a dynamic threshold adjustment mechanism. According to the scheme, the nonlinear time sequence rule of the wind speed is automatically captured through deep learning, the actual working condition change is dynamically responded, the prediction precision is effectively improved, the control delay is shortened, the power generation efficiency is optimized, and the power grid voltage stability is guaranteed.

Hierarchical power estimation and throttling in a processor-based system in an integrated circuit (IC) chip, and related power management and power throttling methods are disclosed. The IC chip includes a processor as well integrated supporting processing devices for the processor. The hierarchical power management system controls power consumption of devices in the IC chip to achieve the desired performance in the processor-based system based on activity power events generated from local activity monitoring of devices in the IC chip. The hierarchical power management system includes a centralized power estimation and limiting (PEL) circuit that is configured to track and merge received power throttle recommendations associated with related activity power events for monitored processing devices to generate one or more power limiting management responses to throttle power consumption of related devices that may be contributing to excess power consumption.

Embodiments of this invention discloses a split-phase output power adjustment system, adjustment method, and storage medium in a low voltage transformer area. The system includes adjustment power supplies, split-phase power adjustment modules, sub-controllers, a main controller. The adjustment power supplies connected to the split-phase power adjustment modules, and total power P of the adjustment power supplies complying with a relationship as follows: P=Pt=PG1+PG2+ . . . . PGn; wherein Pt is power required to comply with three-phase current unbalance adjustment of a distribution transformer, PG1, PG2, . . . PGn is power generated by each of the adjustment power supplies to compensate three-phase current unbalance in a transformer area; wherein the split-phase power adjustment modules are connected to lines of three phases A, B, and C and a neutral line N in the transformer area; wherein the sub-controllers are connected to the adjustment power supplies, and the sub-controllers communicate with the main controller to control power generated by each of the adjustment power supplies, so as to compensate the unbalanced three-phase current in the transformer area. Coordinated adjustment of multiple distributed power supplies realizes precise control of three-phase imbalance in the transformer area, which reduces line loss and improves power quality.

The invention relates to the technical field of battery pack BMS, and discloses a battery pack BMS control power distribution method and system, and the method comprises the steps: collecting a voltage value, a current value, a temperature value and a state-of-charge value of each battery unit in a battery pack, and calculating the number of subsystems; performing spectral clustering operation on the battery units in the system state matrix to obtain a hypergraph Laplacian matrix; performing multilayer hypergraph convolution operation and ReLU activation function processing on the hypergraph Laplacian matrix to obtain an initial power feature matrix; calculating a target power characteristic matrix between the battery unit node and the corresponding power transmission path; establishing a dual-constraint optimization model to obtain a battery pack state quantity and a battery pack observed quantity; and carrying out iterative calculation until the difference value of the power distribution schemes of two adjacent iterations is smaller than a preset threshold value, and outputting a target power distribution scheme, thereby improving the accuracy and rationality of power distribution.

The invention relates to the technical field of power generation, power transformation or power distribution, and discloses a control method for preventing overload of an energy storage system transformer, which comprises the following steps: monitoring the three-phase total power and the power of each phase of a power grid side ammeter in real time, and calculating the three-phase unbalance degree based on the three-phase total power when the three-phase unbalance phenomenon occurs; when the three-phase unbalance degree is greater than a preset unbalance degree threshold value, dynamically adjusting the charging power of the energy storage converter according to a starting threshold value, a charging limiting threshold value and a charging forbidding threshold value by adopting a multi-threshold value dynamic adjustment mechanism; the phase with the maximum deviation between the power of each phase and the average power of the three phases is calculated as an overload phase, load reduction is performed on the overload phase based on a load increasing and decreasing strategy, load increasing is performed on a non-overload phase, and the adjusted three-phase power is obtained; a power distribution instruction is calculated in real time in combination with a dynamic response mechanism, and the three-phase unbalance degree does not exceed a safety threshold value in cooperation with total power control. The problems of easy overload, three-phase imbalance and slow response of a transformer in the prior art are solved, and the purposes of accurate load control, high system stability and high response speed are achieved.

The invention relates to an MPPT (Maximum Power Point Tracking) control method based on dynamic optimization of a lightweight convolutional neural network, and belongs to the field of artificial intelligence control power tracking. The method comprises the following steps: S0, constructing a convolution-fuzzy neural network model which at least comprises an input layer, a convolution layer, a fuzzy control layer, a deep reinforcement learning layer and an output layer; s1, key parameters of photovoltaic equipment are collected in real time to serve as input data of an input layer; s2, performing convolution operation on the input data by using a convolution layer, extracting a feature vector, and transmitting the feature vector to a fuzzy control layer; s3, combining a fuzzy control layer with a deep reinforcement learning layer, and dynamically adjusting an optimization process of a fuzzy rule through a reward signal; and S4, the fuzzy control layer generates a control signal, and the control signal is transmitted to a DC / DC converter of the photovoltaic system through the output layer. The control method is suitable for a dynamic environment of a photovoltaic power generation system, can be expanded to a grid-connected system, and provides a new thought and technical support for efficient operation of photovoltaic power generation.

The utility model relates to measuring tape verification equipment, which comprises a detection table, a detection equipment mounting slideway, a measuring tape fixing structure, a twitching detection table structure and a reference scale measuring device arranged at the upper part of the twitching detection table structure, the measuring tape fixing structure comprises a measuring tape fixing seat, a measuring tape clamping table arranged at the upper part of the measuring tape fixing seat, and a measuring tape fixing clamp arranged on the measuring tape clamping table; the twitching detection table structure comprises a sliding piece set arranged at the upper end of the detection equipment installation slide way, a sliding detection seat body in butt joint with the sliding piece set, a ruler end fixing clamp arranged on the upper portion of the sliding detection seat body and a twitching control power assembly arranged at the outer side end of the sliding detection seat body. According to the utility model, through numerical control type measuring tape verification, the rapid taking and placing of the steel measuring tape in the steel measuring tape verification process are realized, the problem that the whole equipment in the prior art is relatively large and is not suitable for on-site measuring tape detection is solved, and the measuring tape verification efficiency is improved. And the device is convenient to operate and suitable for verification and measurement of a large batch of steel tapes.

The invention belongs to the technical field of intelligent home control, and particularly relates to an electric blanket intelligent temperature control system, which analyzes the matching relationship between the heating power and the temperature response in the historical operation cycle of a plurality of independent subareas of an electric blanket, fuses the thermal coupling effect between the subareas, and independently quantifies the dynamic thermal inertia parameter of each subarea. Based on the independent temperature change trend and the real-time temperature deviation of each partition, a control state including a steady state, a transient state or a strong compensation state is decided and maintained for each partition, the dynamic thermal inertia parameter, the real-time temperature deviation and the current control state are integrated, differentiated feed-forward compensation amounts are generated and superposed to the output of a PID controller of the corresponding partition, and the control state of the corresponding partition is calculated. A final power control instruction is generated after amplitude limiting and smooth filtering, temperature response lag caused by thermal inertia is actively predicted and counteracted, precise control is achieved in combination with partition state recognition, and the system response speed and control stability are remarkably improved.

The invention relates to a temperature control method, device and equipment for a new energy automobile air conditioner and a medium, and the method comprises the steps that the environment temperature in an automobile and heater surface temperature data are collected in real time through multiple sensors, a preliminary adjusting instruction is generated in combination with the temperature preset by a user, and a power distribution strategy is dynamically optimized based on battery residual current; a duty ratio adjusting technology is adopted to carry out power control on a heater power supply circuit, overload risk grading response is realized through a grading safety threshold detection mechanism, a closed-loop feedback mechanism is further introduced, and control parameters are dynamically optimized according to real-time temperature feedback and a battery health state. And the problems of large temperature deviation of multiple regions and unbalanced battery energy consumption are solved. Through temperature-current-battery multi-dimensional fusion control, hierarchical dynamic protection and an energy consumption equalization algorithm, the driving comfort is guaranteed, meanwhile, the overload risk of the system is effectively reduced, the service life of the battery is prolonged, and the method is suitable for the intelligent safety temperature control scene of the new energy automobile air conditioner.

The invention discloses a magnetic control arc GTAW-GMAW composite narrow gap welding system and method. The system comprises a GTAW welding gun, a GMAW welding gun, a magnetic conductive iron core, a magnet exciting coil, a magnetic boot, an assembling clamp, a GTAW welding power source, a GMAW welding power source and a magnetic control power source. The GTAW welding gun, the GMAW welding gun, the magnetic conductive iron core, the magnet exciting coil and the magnetic shoe are fixed through the assembling clamp to form a welding assembly, and the welding assembly is connected with an end effector of the robot. The GTAW welding gun is connected with a GTAW welding power source through a cable. The GMAW welding gun is connected with a GMAW welding power supply through a cable; the excitation coil is connected with a magnetic control power supply through a cable; the GTAW welding power source, the GMAW welding power source and the magnetic control power source are in communication connection with the robot control system. The defect of incomplete fusion in narrow-gap welding of thick stainless steel plates and high-strength steel is effectively overcome, the optimized energy distribution not only refines the weld structure and improves the mechanical property of a joint, but also reduces deformation caused by heat input, and a stable and reliable high-quality welding result can be obtained.

The invention discloses a dynamic power control method and system for an electric vehicle charging pile, and relates to the technical field of dynamic power control of charging piles, and the method comprises the steps: carrying out the primary regulation and control and secondary regulation and control of the charging pile; obtaining a plurality of groups of different regulation and control time scale arrays; a plurality of different regulation and control time scale arrays are applied to primary regulation and control and secondary regulation and control correspondingly, and vibration evaluation data and multi-pile energy distribution uniformity data of parameter changes during primary regulation and control and secondary regulation and control are obtained; a regulation and control time scale evaluation model is constructed based on SVR; constructing a time scale-power regulation and control effect three-dimensional change curve, and performing curve analysis to obtain an improved regulation and control time scale array which is applied to charging pile power control; the problems that the system response is delayed and load fluctuation or other dynamic changes are difficult to quickly adapt due to the fact that the time scale difference of the two is not fully considered are solved.

The invention discloses an off-line function verification system for an intelligent electric actuating mechanism, and the system comprises an off-line function verification unit which achieves the data interaction through the connection with a system signal terminal unit of the intelligent electric actuating mechanism, so as to achieve the off-line function verification function of the intelligent electric actuating mechanism. The offline function verification unit is an integrated module and comprises a man-machine interaction module, a host control module, an interface module, an instruction control module, a control power supply control module and a power supply control module; the problems that a large amount of manpower and time are consumed, the test process is tedious, the work efficiency of the original test process is low, human errors and test record detection errors are prone to occurring, data analysis depends on manpower, and the error risk is increased due to the fact that a traditional test method at the present stage consumes operations such as frequently changing used tools and modifying wiring in the test process are solved.

The invention relates to a constant-current light source driver power control method and device, and the method comprises the steps: obtaining the light source type, driving parameters and working environment information of a constant-current light source driver, and carrying out the integration, and obtaining the corresponding basic control parameters of the driver; acquiring power data and temperature data of the constant-current light source driver, and performing association processing on the power data and the temperature data and light source characteristics to obtain corresponding real-time light source driving parameters; dynamically analyzing the basic control parameters of the driver according to the real-time light source driving parameters to obtain a corresponding power regulation trend; identifying the working state of the light source according to the basic control parameters of the driver to obtain corresponding working mode information, and predicting the working mode information based on the power regulation trend to obtain a corresponding protection strategy; and comprehensively analyzing the initial power control scheme and the protection strategy to obtain a corresponding global power regulation and control scheme. According to the invention, global power optimization regulation and control of the light source driver can be realized.

A device includes a first light-emitting subassembly to emit light at a first correlated color temperature (CCT) comprising a first phosphor and a first light-emitting device positioned to excite the first phosphor. The device also includes a second light-emitting subassembly to emit light at a second CCT comprising a second phosphor and a second light-emitting device positioned to excite the second phosphor. The device also includes a third light-emitting device to emit light at a third CCT. The device may also include a control circuit configured to provide first controlled power to the first light-emitting device, second controlled power to the second light-emitting device, and third controlled power to the third light-emitting device. The device includes one or more inputs to the control circuit to provide power, brightness information, and target color temperature information to the control circuit.

The invention discloses an optical frequency comb repetition frequency locking device and method based on automatic power control, and relates to the technical field of optical frequency combs, the device comprises an optical frequency comb optical system, an optical fiber length automatic control system and an automatic power control system, the optical frequency comb optical system is used for generating optical frequency comb repetition frequency, the optical fiber length automatic control system locks the optical frequency comb repetition frequency output by the optical frequency comb optical system, and the automatic power control system is used for adaptively adjusting the signal power in a corresponding link when the optical frequency comb optical power or the reference source power changes. The input power of the mixer local oscillator and the radio frequency port is maintained at the preset power; according to the technical scheme of the invention, the stability and accuracy of the input power of the radio frequency and local oscillation port of the mixer are improved, the suppression of noise in a link is enhanced, a phase-locked loop of an optical fiber length automatic control system can be maintained in an optimal working state for a long time, and the practicability of an optical frequency comb product is improved.

The invention relates to the technical field of power systems, and discloses a new energy power control method and device based on distributed power supply access, and the method comprises the steps: constructing a unified topology model comprising distributed source loads, energy storage equipment and charging piles based on an access mode of a distributed power supply; acquiring operation data of the distributed power supply through the unified topology model, and performing data preprocessing on the operation data to generate a standardized operation data set; monitoring the real-time operation state and operation index of the power grid in real time based on the standardized operation data set, dynamically generating a corresponding power control instruction, and issuing the power control instruction to the distributed power supply to execute a power regulation task; and generating a power balance instruction after the occurrence of the power grid abnormal event is detected, decomposing the power balance instruction based on the unified topology model and the standardized operation data set, and executing a power balance task. According to the invention, real-time monitoring and dynamic power adjustment of the distributed power supply can be realized, and the power grid stability and the power balance capability are improved.

A microgrid has a microgrid controller that controls power delivery from two or more energy sources to one or more microgrid loads. A prediction is made as to when a main power grid may lose power. The microgrid controller operates in a prepare for islanding mode when a future loss of power is predicted, during which power received from the main power grid source, a solar power source and / or a wind power source are prioritized over energy costs and CO2 emissions to charge the battery power source to a prepare for islanding charge level. The microgrid controller operates in an islanding mode when the main power grid source loses power, during which power received from the solar power source, the wind power source, the battery power source and / or a diesel generator power source are prioritized to maximize a time that the microgrid can remain powered.

The invention discloses a method for detecting an external load of an automobile emergency starting power supply, and relates to the technical field of automobile emergency starting, in the step S2, after an output circuit is closed, a system monitors dynamic current and load state changes, extracts related transmission data and calculates an abnormal coefficient, and once the abnormal coefficient exceeds a preset abnormal threshold value, the system is started; and the system sends a start stopping instruction in time, so that excessive loss of a storage battery or a starting power supply is further avoided, and the safety of equipment and a vehicle is effectively guaranteed. And S3 and S4, constructing a starting result recognition model by using the change coefficient and the abnormal coefficient, and fitting a judgment index after performing linear normalization processing on the data by virtue of a deep learning technology. By comparing the judgment index Pdzs with the qualified threshold value, the system can intelligently judge whether starting is successful or not, automatically control power output, avoid excessive current output and prolong the service life of equipment.

The invention discloses a virtual power plant load resource regulation and control method and system, and the method comprises the steps: carrying out the knowledge extraction of a virtual power plant based on a virtual power plant knowledge base through a knowledge extraction strategy, and obtaining the data of the virtual power plant; determining a virtual power plant operation strategy according to the virtual power plant data; determining a regulation and control economy evaluation index, a regulation and control power supply capability evaluation index and a regulation and control credit index according to the virtual power plant operation strategy; performing resource regulation capability evaluation based on the regulation economy evaluation index, the regulation power supply capability evaluation index and the regulation credit index to obtain regulation data; and performing virtual power plant load resource regulation and control according to the regulation and control data. The problems of low efficiency and poor accuracy of virtual power plant resource regulation and control are solved, the load resource regulation and control efficiency is improved, and the regulation and control accuracy is high.

The invention relates to the technical field of swimming pool heat pump control, and provides an electric heating coupling control method and system based on a swimming pool heat pump. The method comprises the following steps: collecting multi-source monitoring data of a swimming pool in real time; calculating a comprehensive temperature difference value and a heat loss rate based on the multi-source monitoring data; the comprehensive temperature difference value and the heat loss rate of the swimming pool are input into a coupling heating model based on a space-time attention mechanism, and dynamic heat pump power control parameters are generated; inputting multi-source monitoring data into the water quality and temperature linkage control model, and solving an optimal heat pump cycle adjustment strategy by adopting a Nash equilibrium algorithm with maximization of a water quality standard-reaching rate and minimization of temperature control energy consumption as a game target; according to the optimal heat pump cycle adjusting strategy and the heat pump power control parameters, electric heating control is conducted on the swimming pool heat pump, so that the temperature control efficiency of the swimming pool is improved, the operation safety of the swimming pool is guaranteed, and energy consumption minimization can be achieved on the premise that it is guaranteed that the water quality reaches the standard.

The invention relates to the technical field of automobile energy supply, in particular to a solid hydrogen storage-fuel cell integrated power assembly system based on dual-mode hydrogen supply, which comprises a hydrogen supply path identification module, a hydrogen storage unit state monitoring module, a linkage path switching module, a fuel cell load matching module and a safe hydrogen discharge regulation and control module. According to the method, the hydrogen supply pressure difference value is obtained by dynamically comparing the pressure of the cavity of the hydrogen storage tank with the pressure of the hydrogen inlet of the fuel cell, the current hydrogen supply path state can be accurately recognized in the early stage, rapid judgment of the hydrogen supply mode and accurate control of path switching are achieved, whether the risk of hydrogen supply interruption exists or not can be effectively screened, and the reliability of hydrogen supply is improved. The switching reliability of a hydrogen supply channel is improved through cross comparison of key state signals of a main channel and a standby channel, and instant response and energy consumption optimization of hydrogen discharge safety regulation and control are guaranteed through a linkage feedback mechanism between the hydrogen concentration change rate in unit time and catalytic converter control power.

The invention relates to an omni-directional moving multi-differential-wheel-set AGV and a control method thereof.The omni-directional moving multi-differential-wheel-set AGV comprises a chassis, differential wheel sets and vertical rotating shafts, the vertical rotating shafts are installed on the chassis, gears are arranged on the vertical rotating shafts, the number of the vertical rotating shafts is the same as that of the differential wheel sets, and each vertical rotating shaft is connected with the corresponding differential wheel set; the differential wheel set comprises a pair of independently-controlled power wheels and a transversely-placed driving motor, and the driving motor is in driving connection with the power wheels on the two sides. Each vertical rotating shaft is connected with a corresponding offset encoder and is used for recording rotation of the vertical rotating shaft. Compared with the prior art, the device has the advantages of being high in automation degree, capable of reducing manual carrying requirements, stable in motion control and the like.

The invention discloses a switching loss optimization control method and system of an energy storage DC converter. Comprising the following steps: firstly, acquiring battery side voltage / current and bus side voltage / current of the energy storage direct current converter; calculating according to the battery side voltage and the bus side voltage to obtain the voltage ratio of the two sides of the energy storage direct current converter; then, control power is obtained through calculation according to the battery side voltage / current and the bus side voltage / current; then, determining the working mode of the dual-active bridge circuit by using the control power of the energy storage direct-current converter; and finally, according to the working mode of the dual-active bridge circuit, the actual power of the dual-active bridge circuit is adjusted, and the switching loss optimization of the energy storage DC converter is completed. When the battery side voltage, the bus side voltage and the load power of the circuit are changed, the control power of the controller can be continuously changed, smooth transition is realized among all working modes, the output signal and the power gain are basically linear, and the dynamic response speed can be improved.

The invention discloses a flight control method and system for unmanned aerial vehicle tracking, and relates to the technical field of unmanned aerial vehicle flight control. The flight control method for unmanned aerial vehicle tracking comprises the following steps of flight stability detection, frequency rise adjustment judgment and frequency drop adjustment judgment. According to the invention, the stability degree of the flight control power performance of the unmanned aerial vehicle is detected based on the obtained performance data of the unmanned aerial vehicle to obtain the stability detection result, and the initial attitude update frequency rising and falling adjustment judgment is executed in combination with the stability detection result to obtain the corresponding rising judgment update frequency and falling judgment update frequency; the effect of more accurately controlling the flight attitude of the unmanned aerial vehicle in the distribution line inspection operation is achieved, and the problem of inaccurate control of the flight attitude of the unmanned aerial vehicle in the distribution line inspection operation based on the unmanned aerial vehicle in the prior art is solved.

The invention relates to the technical field of power grid interaction, in particular to a two-way energy control method and intelligent equipment, and aims to solve the problem of how to perform charging and discharging control on two-way energy equipment according to power grid load information and peak and valley electricity prices on the basis of an optimal cost principle. The method comprises the steps that the initial electric quantity of an energy storage module is acquired; acquiring historical electrical load information of a set time period; and predicting a power control curve of a set time period according to the initial electric quantity, the historical electric load information and the expected electric quantity based on a cost optimal principle. On the basis of the predicted power control curve, charging and discharging control is performed on the energy storage module through the bidirectional energy equipment, so that the stability of the power grid can be enhanced, the power supply condition of the power grid can be optimized, the electric charge expenditure of the user can be reduced, the user experience can be improved, income can be brought to the user, and the return on investment of the user can be improved. And by adopting a dynamic programming algorithm, the operation speed is improved, and engineering realization is more convenient.