22 results about "Power control algorithm" patented technology

The invention discloses a satellite terminal adaptive power adjusting system. The system comprises an attitude sensor module used for collecting three-dimensional attitude data of a terminal; the antenna pattern database is used for storing theoretical gain values of the panel omnidirectional antenna in different attitudes; the gain prediction engine is used for calculating theoretical gain according to the current attitude data and the directional diagram database; the signal quality detection module is used for collecting the intensity, the signal-to-noise ratio and the bit error rate of the received signal in real time; the power control algorithm module fuses the gain prediction value and the signal quality feedback and is used for generating a dynamic transmitting power instruction; the radio frequency power amplifier is used for executing the power adjusting instruction and outputting an adjusted transmitting signal; the invention further discloses a satellite terminal self-adaptive power adjusting method. According to the invention, the problem of balance between satellite terminal communication stability and power consumption efficiency in a complex environment is solved.

The invention discloses an unmanned aerial vehicle trajectory optimization method for user fair and safe communication and target perception. Particularly, under the condition that position state information of a ground eavesdropping node is uncertain, in order to improve the safety of the considered communication system, the unmanned aerial vehicle carries a multi-antenna array to transmit a sensing signal to sense a ground target user. According to the method, the optimization problem of a single unmanned aerial vehicle under the two-dimensional flight path flight condition and the constraint of ground user scheduling and limited energy consumption is proposed, and the total fair safety rate of ground users is maximized. In consideration of complexity and non-convexity of the proposed problem, a single-agent flight path, transmission beam forming and transmission power control algorithm is designed by using deep reinforcement learning. And meanwhile, reasonable flight path, sending beam forming and sending power control are further carried out on the unmanned aerial vehicle by adopting the DDPG, so that the total fair safety rate of the system is improved to the maximum extent. Due to the fact that the problem is a multivariable coupling non-convex problem and a complex multi-antenna line-of-sight link is considered, a deep reinforcement learning algorithm based on DDPG is provided to solve the optimization problem. The total fair safety rate in the communication system is maximized by jointly optimizing the flight trajectory of the unmanned aerial vehicle, transmitting beamforming and transmitting power control.

The application discloses a single mutual inductor metering switch system, and relates to the field of intelligent power systems.The system comprises a mutual inductor power supply module, a power management module, a main control module and a load module.The mutual inductor power supply module converts the AC energy obtained through induction into DC power.The main control module controls the power management module and the load module to alternately switch between a low-power sleep mode and a high-intensity working mode according to a predetermined time sequence by executing a low-power control strategy.The application can monitor the power and the equipment state in real time by using the power supply of the mutual inductor and a special power control algorithm.The application can not only collect and control local data, but also report the data in real time to realize remote internet-of-things management.Compared with a traditional switch system, the application compresses continuous energy consumption into extremely short pulse consumption, and the equipment completes all complex work in an extremely short time window in a burst mode, and is in an "apparently dead" super-low-power state in the remaining idle time.

The invention relates to a portable optical storage power supply energy management method and device, electronic equipment and a storage medium. The method comprises the following steps: an MPPT (Maximum Power Point Tracking) control step: carrying out energy management control on a maximum power point tracking MPPT control unit of the portable optical storage power supply based on a preset maximum power point tracking MPPT control algorithm; a PCS control step: on the basis of a preset energy storage converter PCS control algorithm, performing charging and power supply allowing instruction control on an energy storage converter PCS control unit of the portable optical storage power supply; and a power control step of performing energy management control on the power supply power of the portable optical storage power supply based on a preset portable optical storage power supply power control algorithm. According to the invention, a special integrated power management chip is avoided, so that the hardware purchasing and debugging cost is effectively reduced; functions are not limited by hardware, various customer requirements can be quickly met, and function iteration is flexible; the number of core devices is reduced, and the risk probability that products cannot work due to core hardware failure is effectively reduced.

This invention discloses a multi-target adaptive jamming system based on an array antenna, belonging to the field of electromagnetic countermeasures and signal processing technology. The system includes an array antenna unit, a multi-channel RF front-end, a signal processing and control unit, and an environmental sensing unit. The array antenna scans the airspace and captures signals from multiple targets; the signal processing and control unit runs various algorithms to estimate the azimuth, frequency, and power parameters of multiple targets; an interference suppression matrix is ​​constructed based on singular value decomposition, generating multiple low-sidelobe focused jamming beams aimed at each target; the environmental sensing unit monitors background noise intensity in real time and dynamically adjusts the transmission power through a noise adaptive power control algorithm. This invention overcomes the shortcomings of traditional jamming techniques, such as energy dispersion, poor environmental adaptability, and unintelligent resource allocation. It can simultaneously achieve efficient and precise jamming of multiple targets, significantly improving the suppression ratio of a single target, and maintaining high jamming efficiency and resource utilization even in high-noise environments.

Techniques for improving energy efficiency of a Radio-Frequency Identification (RFID) reader are described herein. A power control algorithm controlling a power amplifier of the RFID reader adjusts a bias setting of the power amplifier at different time periods during operation of the RFID reader. Particularly, in aspects, the power control algorithm biases the power amplifier at a first bias setting during a first time period when the RFID reader transmits a modulated continuous waveform conveying information to RFID tags in an environment, and biases the power amplifier at a second, different bias setting during a second time period when the RFID reader transmits an unmodulated continuous waveform. By adjusting to the second bias setting, the power control algorithm improves energy / power efficiency of the RFID reader during the second time period, thereby extending the single-charge lifetime of the RFID reader when implemented as a battery powered unit.

The invention discloses a photovoltaic inverter output power control algorithm based on a predictive control algorithm, which belongs to the predictive control algorithm, and comprises the step of establishing a BP neural network model, and the BP neural network model comprises the steps of determining a grid structure, designing an input layer, designing an output layer, designing a hidden layer, transmitting a function and calculating a predictive error. Historical power generation data and meteorological data of a photovoltaic power station are used as experimental samples, the prediction time is set to be 05: 00 to 19: 00 with good light reception in one day, and the prediction interval time is set to be 1 hour. The global power output by the photovoltaic power generation system is predicted and analyzed by using an algorithm based on a back propagation neural network, a network tracking prediction effect on the global output power is realized, and a distribution network transformer is effectively prevented from being burnt out due to overlarge generated power returned by the resident photovoltaic power generation system.

The invention discloses an unmanned aerial vehicle cluster efficient online segmentation learning method and system, and the method comprises the steps that a server unmanned aerial vehicle splits a global model and distributes the global model to a client unmanned aerial vehicle, and the client unmanned aerial vehicle screens samples through a dynamic sample processing module, completes the training calculation through the combination of a local model, and feeds back a result to the server unmanned aerial vehicle. And the server unmanned aerial vehicle aggregates the model and optimizes resource allocation to form a closed-loop process of model splitting, sample screening, distributed training, model aggregation and resource optimization. Segmentation learning and online learning are deeply fused, a two-factor importance evaluation mechanism is adopted to screen high-value samples, and a sub-channel allocation and power control algorithm is combined, so that the unmanned aerial vehicle cluster can capture dynamic samples in real time in an unknown scene, the model detection precision is improved through distributed cooperative training, meanwhile, the training delay is reduced, and the training efficiency is improved. And the characteristics of high maneuverability, limited resources and dynamic environment of the unmanned aerial vehicle cluster are effectively adapted.

The application provides a multi-energy storage converter coordination control method and system. The method comprises the following steps: synchronously collecting power grid parameters of a PCC point through a unified collection module arranged at the PCC point; receiving and processing the power grid parameters to obtain standardized data for a power control algorithm; generating a global regulation instruction based on the standardized data and in combination with acquired power regulation information, wherein the power regulation information at least comprises operating state information of each PCS, and the operating state information of each PCS at least comprises one of an SOC state corresponding to each PCS, a current output power, an adjustable power margin and a health state; and synchronously issuing the global regulation instruction to each PCS through a real-time communication network module, so that each PCS performs power output according to the same instruction source. The method effectively eliminates regulation deviation and internal circulation caused by independent response of multiple PCSs, improves response synchronism and regulation accuracy of the energy storage system to the power grid, and realizes optimal configuration of energy storage resources.

The present invention discloses a microgrid energy supply wave balancing method and system, which relates to the technical field of power grid heat supply balancing technology. The method comprises the following steps: deploying high-precision sensors to monitor the microgrid's energy supply, load demand, load output power, voltage, and frequency in real time; constructing an energy fluctuation depth model based on real-time and historical data, and outputting the energy fluctuation trend within a preset time; setting an adaptive energy regulation controller to automatically adjust the output power and operating status information of each power generation unit based on the prediction results through a power control algorithm; using the adjustment results of the power control algorithm and the current power grid state as input information through an energy balance control strategy to solve the energy balance parameter target and feed it back to the adaptive energy regulation controller; and dynamically adjusting the load distribution based on the final output result of the adaptive energy regulation controller. The present invention solves the problem that traditional heating systems cannot respond in real time, resulting in delayed balance regulation.

The application discloses a link bandwidth allocation method and allocation system for multi-mode mobile network multi-link aggregation, comprising: obtaining mobile network base station, device position, real-time environment data; using intelligent power control algorithm, dynamically adjusting transmission power according to environment data and network load; obtaining real-time signal strength data and historical data of network device to base station; predicting minimum transmission point of signal transmission based on real-time and historical data; adjusting antenna direction and position according to base station position, and designing connection using beamforming antenna; setting threshold value according to real-time weather and minimum transmission point data, and deploying signal enhancer; the application discloses a link bandwidth allocation method and allocation system for multi-mode mobile network multi-link aggregation, through intelligent algorithm, real-time monitoring of link quality, dynamic adjustment of network, balancing of network load, and combination of real-time weather data for evaluating signal transmission environment, deploying signal enhancer, and improving signal coverage range.

The invention relates to the technical field of unmanned ship communication, in particular to an efficient wireless forwarding method and system for an unmanned ship cluster rapid ad hoc network, and the method comprises the steps: monitoring a wireless channel state in real time through a self-adaptive channel selection technology, and dynamically selecting an optimal channel; a topology maintenance mechanism combining a rapid networking protocol based on a distributed algorithm with regular and event triggering is adopted, and rapid networking and topology updating of an unmanned ship cluster are achieved; dividing data into a plurality of sub-data streams for parallel transmission by using a multipath parallel transmission technology, and combining and restoring at a receiving end; aiming at a large-scale unmanned ship cluster, designing a node scheduling algorithm based on task priority and resource allocation, and establishing a node state monitoring mechanism; a power control algorithm is adopted, a protocol frame structure and a dormancy mechanism are optimized, and communication energy consumption is reduced. According to the invention, the communication stability is improved, the communication bandwidth is increased, the large-scale node management capability is enhanced, the communication conflict and congestion are avoided, the energy consumption is reduced, and the endurance time of the unmanned ship is prolonged.

The invention relates to a general vehicle energy management control system and control method, electronic equipment and a storage medium. The method comprises the steps that after software of the hybrid power supply system is initialized, a battery energy storage unit BMS and a power conversion system PCS are started, and whether commercial power is connected or not is judged; if commercial power is connected, entering a commercial power battery power supply state and closing a generator control unit GCU, and adjusting the power of a power conversion system PCS based on an adaptive power control algorithm in the commercial power battery power supply state; and if the electric supply is not connected, entering a GCU battery power supply state and starting a generator control unit GCU, and in the GCU battery power supply state, adjusting the power of the generator control unit GCU based on an adaptive power control algorithm. According to the invention, intelligent management of the system state, accurate control of battery charging, dynamic optimization of power distribution and rapid response of equipment faults are realized, so that the reliability, safety and energy utilization efficiency of the system are improved.

The application discloses a satellite terminal adaptive power regulation system, comprising: an attitude sensor module for collecting three-dimensional attitude data of the terminal; an antenna directional diagram database for storing theoretical gain values of a flat panel omnidirectional antenna under different attitudes; a gain prediction engine for calculating the theoretical gain according to the current attitude data and the directional diagram database; a signal quality detection module for collecting the strength, signal-to-noise ratio and bit error rate of a received signal in real time; a power control algorithm module for fusing the gain prediction value and signal quality feedback to generate a dynamic transmission power instruction; and a radio frequency power amplifier for executing the power regulation instruction and outputting an adjusted transmission signal; the application further discloses a satellite terminal adaptive power regulation method; and the application solves the balance problem between the communication stability and the power consumption efficiency of the satellite terminal under a complex environment.

The present application relates to the technical field of power line communication, and in particular to a power line communication non-orthogonal multiple access method under multi-service coexistence, wherein first, a relay adopts a beamforming technology based on maximum ratio combination to receive signals of indoor users, and the maximum direction of the beam is aligned with a URLLC user; second, the relay broadcasts a threshold value of an accessible channel, schedules one eMBB user satisfying the threshold value in each time slot, shares spectrum resources with the URLLC user by using a non-orthogonal multiple access technology, and further adjusts its own transmission power by using an adaptive power control algorithm based on threshold value judgment; and finally, the relay transmits the superimposed multiple user signals in the frequency domain to a destination node after decoding. The present application multiplexes eMBB services and URLLC services in the same time-frequency resource, guarantees the low-latency and high-reliability characteristics of the URLLC service, ensures the quality of service requirements of the eMBB user with lower power consumption, and thus completes the communication process under the condition of multi-service coexistence.

The invention discloses a hydraulic generator electric braking method based on uncontrolled rectification and a buck-boost converter and a topological structure. The hydraulic generator electric braking method comprises the steps that 1, unit splitting and initial state confirmation are carried out; 2, judging a rotating speed threshold value and pre-inputting and pre-quitting equipment; step 3, uncontrolled rectification and real-time operation parameter acquisition; 4, calculating reference power; 5, the reference power P obtained through calculation and the monitoring signals udc2 and idc2 are input into a controller, the controller outputs a corresponding control instruction to drive a buck-boost converter according to a variable power control algorithm based on the rotating speed of the water turbine, and the storage battery starts to be charged; meanwhile, the battery management system BMS monitors the voltage, the current and the temperature of the storage battery in real time; if the equipment is abnormal, entering step 6; step 6, carrying out equipment fault switching; step 7, switching a braking mode; while the electromagnetic power output by the water turbine is rapidly tracked, efficient recovery of braking energy is achieved, the loss of a mechanical braking module is reduced, and the operation and maintenance cost is reduced.

The invention belongs to the technical field of aircraft power distribution system simulation and control, and provides a LabVIEW-based aircraft power distribution system reconstruction logic algorithm and visual simulation verification platform, which comprises three core algorithms, namely a generator reconstruction matrix algorithm, a bus bar contactor control algorithm and a load power control algorithm, and a LabVIEW-based visual simulation verification platform. The visual simulation verification platform can display the state of the power distribution system in real time, supports fault injection and system reconstruction demonstration, and provides a parameter configuration interface to adapt to different power distribution systems. According to the method, an event-driven mechanism, a state machine mechanism and a modular programming thought are adopted, system behaviors in different flight stages and fault states are clearly managed, good expandability and reusability are achieved, the power distribution system logic can be verified in the initial stage of design, the design efficiency and quality are improved, and the development cost and risk are reduced.

The application provides a multi-channel direct-current coupling light storage converter system and relates to the technical field of light storage systems.The application directly connects a direct-current coupling energy storage converter to a photovoltaic array interface without changing the existing photovoltaic product DC / DC and DC / AC two-stage grid-connected architecture, simplifies the structure of the light storage system, effectively reduces the overall cost of the system, improves the system efficiency, reduces the system volume and improves the power density.Meanwhile, a three-port power control algorithm is adopted to deeply integrate a power distribution network to develop a new generation of multi-channel direct-current coupling light storage converter system with power distribution network adaptability, realize energy injection and extraction with three-phase voltage follow-up and flexible networking, fully guarantee photovoltaic power generation, flexibly realize light storage direct-current networking and solve the problem of the card point formed by the time and space misalignment of distributed photovoltaic power generation and power grid power consumption which cannot be fully reflected through value, so a new differentiated light storage which can deeply integrate power distribution demand is obtained.

The present invention provides a method, apparatus, and non-temporary machine-readable medium for controlling the physical uplink shared channel (PUSCH) transmit power of a UE in order to improve the overall performance of uplink communication in a cellular network. [Solution] The base station 102 executes a power control algorithm over multiple iterations until the signal-to-interference-plus-noise ratio (SINR) falls within an acceptable level from the target SINR. Each iteration obtains the SINR associated with each UE106 in one or more cells, and if it determines that the SINR is above the target SINR, it reduces the transmit power of the UE106; if it determines that the SINR is below the target SINR, it increases the transmit power and updates the power allocation between the UE106s in each cell.

The invention discloses a communication protocol analysis method and system of a smart grid power supply controller based on an RISC-V architecture. The method comprises the following steps: receiving a communication message from an upper computer through a JTAG interface module; the RISC-V main processor soft core analyzes the communication message, extracts a byte code of a to-be-updated power supply control algorithm in the message, and writes the analyzed byte code into an eBPF uC runtime micronucleus; safety rule verification is carried out on the byte codes by using a micro-check during eBPF uC operation; if the verification result is passed, the micronucleus dynamically loads and executes byte codes when the eBPF uC runs, and hot update is carried out on the power supply control algorithm when the eBPF uC runs; and when the eBPF uC runs, the micronucleus writes control parameters generated by execution into the power supply controller through the communication interface module to update a power supply control algorithm. By adopting the open source characteristic of the RISC-V architecture, the customization threshold is reduced, and the adaptation flexibility of the power supply controller is improved.

The present invention relates to the technical field of power grid power control, and specifically to an AGC precise power control algorithm and system considering communication failures of multiple photovoltaic devices, comprising: obtaining monitoring image information of the photovoltaic device with the communication failure; obtaining the ash layer thickness of the photovoltaic device; obtaining the current performance data of the photovoltaic device; predicting the first current output data of the photovoltaic device; obtaining the second current output data and AGC adjustment instructions of the remaining photovoltaic devices, the AGC adjustment instructions being the target power value; and performing power control based on the first current output data, the second current output data and the target power value. The present invention obtains the ash layer thickness of the photovoltaic device with the communication failure through monitoring image information, and then accurately obtains the current performance data of the photovoltaic device with the communication failure, providing a reliable basis for predicting the output. This avoids the problem of being unable to grasp the device status due to communication interruption, and greatly improves the reliability of the entire photovoltaic system.

The invention discloses a single mutual inductor metering switch system, which relates to the field of intelligent power systems and comprises a mutual inductor power supply module, a power supply management module, a main control module and a load module. The main control module executes a low-power-consumption control strategy to control the power management module and the load module to alternately switch and operate between a low-power-consumption sleep mode and a high-intensity working mode according to a preset time sequence. Electric energy and equipment states can be monitored in real time by utilizing power supply of a mutual inductor and a special power control algorithm; compared with the prior art, local data can be collected and controlled, the data can be reported in real time, remote internet-of-things management is achieved, compared with a traditional switching system, continuous energy consumption is compressed into extremely short pulse type consumption, equipment can complete all complex work in an extremely short time window in an explosive mode, and the energy consumption is reduced. And in other idle time, the system is in an ultra-low power consumption state of'false dead '.