13 results about "Power minimization" patented technology

The invention discloses a control method of a flat wire motor. The method comprises the following steps: constructing an optimal current instruction table taking a rotating speed and a torque as indexes; if the motor is in the dynamic working condition, directly looking up a table to obtain a current optimal current instruction; if in a steady-state working condition, performing online search by taking a table look-up result as an initial point: generating two-dimensional Bernoulli random disturbance, and sequentially applying positive and negative disturbances to the initial point; respectively measuring the input power under the two disturbances; according to the ratio of the positive and negative input power difference to the corresponding disturbance component, synchronously calculating gradient estimation vectors of the system input power to d-axis and q-axis current; according to a steepest descent method, the current instruction is updated in the reverse direction of the gradient, an optimal instruction enabling the input power to be minimized is obtained, and an inverter is driven to control a motor to operate. According to the method, through a hybrid control strategy combining dynamic table look-up and steady-state online search, the total loss minimization of the flat wire motor under all working conditions in consideration of alternating current copper loss is realized, and the rapidity of dynamic response is ensured.

The present disclosure relates to a method for transmission in a hardware impairment-based intelligent reflecting surface (IRS)-assisted non-orthogonal multiple access (NOMA) network, including: constructing an NOMA network system assisted by an IRS; constructing a base station transmission power minimization model based on a user quality of service (QoS) constraint, a successive interference cancellation (SIC) constraint, and a reflective phase shift constraint; solving the base station transmission power minimization model to obtain an optimal transmission scheme, and controlling the NOMA network system to transmit according to the optimal transmission scheme; the base station transmission power minimization model including an active beamforming vector optimization sub-problem and a passive beamforming vector optimization sub-problem.

The geometric weighting power control method of underlay D2D communication in cellular network comprises the following steps: Step 1, obtaining the target function of a pair of "cell link-D2D link" power distribution model; Step 2, establishing constraint conditions according to the characteristics of the cellular link and the D2D link; Step 3, converting the distribution model in Step 1 into a linear programming standard form according to the constraint conditions in Step 2; Step 4, solving the power distribution in Step 3 by graphical method. The purpose of the application is to solve the Underlay mode D2D communication in the cellular network with the maximum throughput or energy efficiency EE or weighted energy efficiency WSEE as the target. Due to the characteristics of the target function, the power distribution problem is generally non-convex, which needs to be obtained by iteration, and the complexity is relatively high, and the optimal solution is difficult to obtain. A power distribution method for a pair of "(uplink) cellular link-D2D link" in underlay D2D communication based on weighted power minimization is provided.

A method for determining an optimal condensing temperature of a refrigerant being used in a compressor-condenser-arrangement is presented, comprising the following steps: determining an actual operating condition of the compressor-condenser-arrangement; determining base-values of compressor-operation; determining base-values of condenser-fan-operation; determining an actual value of compressor-operation and calibrating the base-values of compressor-operation, and / or determining an actual value of condenser-operation and calibrating the base-values of condenser- fan-operation; determining a total power and determining the operating condition of the compressor-condenser-arrangement for which the total power is minimized and determining the condensing temperature for this operating condition as the optimal condensing temperature. Furthermore, an apparatus adapted to carry out the method and an according computer program are described.

An idle plug and play port freezing and carbon dioxide (CO2) minimizing system executing on an information handling system may comprise a plug and play device controller, processor, or embedded controller executing code instructions of the idle plug and play port freezing and CO2 minimizing system to receive a notification that a user presence is not detected and to identify a first peripheral device port operably connected to a first peripheral device from among a plurality of peripheral device ports, where the first peripheral device port has an associated first peripheral device communications profile that indicates a status of push notifications enablement with the first peripheral device, and to cease power supply to the first peripheral device port in the absence of a read / write session currently executing on the peripheral device port and no push notifications enabled to decrease power consumption and CO2 emissions.

The application discloses a kind of underground cavern group construction ventilation network energy consumption minimization method, it is related to ventilation network optimization and energy consumption control technical field, this method includes: constructing dynamic ventilation network perception and reconstruction model during construction, and the topological structure is dynamically updated by multi-source sensor and construction progress log;Based on Hardy Cross method, the theoretical air flow distribution satisfying physical conservation is solved;Fusion theoretical air flow and real-time data, construct Hardy Cross-GB hybrid prediction model, train gradient boosting regression to correct prediction bias, output air flow and energy consumption prediction value;Based on the model, the system total power minimization objective function is constructed, the frequency conversion strategy of fan is optimized under the constraint of air demand and the control instruction is output.The application realizes dynamic ventilation network accurate simulation and real-time energy efficiency optimization, significantly reduces the energy consumption of ventilation system, guarantees construction safety and control stability.

The invention belongs to the technical field of communication and inductance integration, and particularly relates to an ISAC system power minimization method based on STAR-RIS assistance. The method comprises the following steps: constructing an STAR-RIS-ISAC full-space downlink model, and establishing a joint beam forming optimization model taking minimization of base station transmitting power as a target under a base station maximum transmitting power constraint, a user communication service quality and security constraint and an STAR-RIS phase shift constraint. An original non-convex problem is decomposed into two non-convex sub-problems by adopting an alternating optimization algorithm, and the sub-problems are converted into solvable convex optimization problems by utilizing semi-definite relaxation, successive convex approximation and Taylor expansion, so that an active beam forming vector of a base station and an STAR-RIS passive beam forming vector, namely an optimal joint resource allocation scheme, are obtained. According to the method, the transmitting power of the base station can be effectively reduced, the effectiveness of the scheme on a sensing target in an ISAC system is proved, and meanwhile, when an eavesdropper exists, the communication and sensing capabilities can be balanced, and resources can be reasonably allocated to ensure the service quality of a user.

The application discloses an intelligent changing method for the balance diameter of a mechanical seal, which comprises the following steps: S1, installing the mechanical seal at the opening of a pump body, and making the pump body enter a working state; S2, collecting the data of a rotating speed sensor, a temperature sensor and a pressure sensor when the pump body is working, and determining the optimal balance diameter according to the data; and S3, according to the optimal balance diameter determined in step S2, controlling the shutoff of the connecting pipes corresponding to the communication cavities and the discharge pipeline, making the sealing ring at the optimal balance diameter of the static compensation ring enter a working state, and completing the change of the optimal balance diameter. The application can complete the intelligent change of the balance diameter of the mechanical seal, improve the maximum use pressure range of the mechanical seal, and actively realize the minimization of the torque of the mechanical seal, the minimization of the consumed power and the maximization of the sealing life under the premise of meeting the sealing leakage requirement.

The present application relates to a kind of active power-frequency multi-stage collaborative control method and system, method includes: with system frequency deviation and active power minimization as control target, considering the constraint of active power output and rotor speed, active power-frequency control model is constructed;According to the model transformation of system frequency variation, inertia support and optimal control model of fast frequency modulation stage and frequency modulation recovery stage are formed;Optimal control model is transformed into optimal quadratic programming model considering linear part and nonlinear part using predictive control strategy mechanism;Optimal control strategy is obtained by solving.Considering the nonlinear constraint of rotor speed of large slip operation of energy storage type phase modifier and wind turbine unit, the active power output of energy storage type phase modifier and wind turbine unit is efficiently cooperated, the frequency support capability of wind power system is improved, and it has good popularization and application value.

The present application relates to a kind of based on double RIS auxiliary ISAC system power minimization method, belong to the technical field of integrated sensing and communication.For the lack of existing double RIS auxiliary ISAC system power optimization research, non-convex problem is difficult to solve and hardware constraint complex leads to high power consumption, the present application constructs double RIS auxiliary ISAC system model, establishes base station transmitting power minimization resource allocation problem, uses alternate optimization algorithm to decompose into three sub-problems of base station active beam forming, RIS2 phase shift optimization, RIS1 phase shift optimization, combined with algebraic transformation, continuous convex approximation and semi-positive definite relaxation solution, obtain joint beam forming scheme.The present application effectively reduces base station transmitting power, guarantees multi-user communication and radar sensing performance, improves system energy efficiency and coverage ability, applicable to complex sheltered environment.

The application discloses a reconfigurable gain T-type impedance network module and a control method thereof. The module comprises left and right series arms configured with the same type of passive resonant elements, and a middle parallel arm configured with passive resonant elements of a type opposite to that of the left and right series arms. Meanwhile, the gear switching states of the left series arm, the middle parallel arm and the right series arm are synchronously controlled by external unified switches at a designed working frequency, so that each gear satisfies a three-arm target impedance relationship, gain reconfiguration in different gears is realized, and approximate constant current output or constant voltage output is obtained at an output end. The input side presents a near-zero phase angle operation characteristic, so that AC power transmission efficiency is maximized and reactive power is minimized. The application has the characteristics of modularity, reconfigurability and simple operation, can realize multi-gear gain reconfiguration through passive elements at a fixed working frequency, and achieves the purposes of AC constant current and constant voltage, high-efficiency energy transmission and accurate power regulation.

A SWIPT multi-hop relay power minimization method and system based on throughput constraint, and the method comprises the following steps: under the constraint that the throughput of a multi-hop relay wireless communication system is not lower than a required minimum reachable rate threshold, minimizing the transmitting power of a source node by jointly optimizing the PS ratio of each relay and the transmitting power of the source node. The invention aims to solve the technical problems that in the existing SWIPT multi-hop relay technology based on the PS protocol, the optimization target is single, energy efficiency and performance are difficult to consider, optimization variables are isolated, cooperation of power and PS ratio is lacked, the method complexity is high, and the real-time requirement is difficult to meet, so that the overall performance of the network and the energy efficiency of the system are influenced, and the system performance is influenced. The SWIPT multi-hop relay power minimization technology based on the throughput constraint is provided.

The invention belongs to the technical field of electric power communication optimization, and discloses a safety-based electric power communication system high-energy-efficiency optimization method and system, and the method comprises the steps: constructing an electric power wireless communication system model, and converting a safety energy efficiency maximization problem into a base station power minimization problem; based on the converted problem and an IRS phase shift matrix in a fixed system, the optimization problem of a beam forming vector and an artificial noise vector is converted into a convex optimization problem, non-convex constraint is converted into convex constraint through first-order Taylor approximation, and second-order cone programming SOCP is adopted for solving; a beam forming vector and an artificial noise vector are fixed, the optimization problem of an IRS phase shift matrix is converted into a feasibility problem, non-convex constraints are processed through first-order Taylor approximation and a penalty function, a convex optimization tool is adopted for solving until the safety energy efficiency performance reaches convergence, and balance optimization of the secrecy rate and energy consumption is achieved. The security problem is considered, the mutual restriction problem of the transmission rate and the power consumption is also considered, and the secrecy energy efficiency is improved.