121 results about "Dynamic coupling" patented technology

The invention belongs to the field of equipment coupling monitoring, and particularly relates to a dynamic coupling compensation method for thermal expansion and axial displacement, which comprises the following steps of: calculating a first characteristic value for representing reference dynamic offset of a sensor based on a three-dimensional thermal-structure coupling model by acquiring a thermal expansion parameter and axial displacement parameter sequence of a casing; calculating a second characteristic value representing the real position change of the rotor in combination with a rotor-casing axial thermodynamic model, establishing a piecewise coupling function considering a nonlinear effect, working condition self-adaption and cross interference, and eliminating the mechanical thermal inertia and measurement system lag influence through a dynamic delay compensation mechanism; an accurate axial displacement measurement total error compensation index is generated, and grading compensation actions are intelligently triggered according to error grades; the problem of measurement distortion caused by dynamic coupling of thermal expansion and axial displacement is effectively solved, and the accuracy and reliability of state monitoring of the rotating machine are remarkably improved.

The invention discloses a multi-drive cooperative control method for high-precision electric drive assembly equipment, relates to the technical field of intelligent manufacturing control, and is used for solving the problem of insufficient cooperative control precision of a multi-axis system under parameter mismatch and disturbance. By constructing a multi-source data fusion and dynamic coupling analysis mechanism, the system collects the motion state and control parameter data of multiple driving shafts, generates a multi-shaft collaborative dynamic response sequence, and calculates the dynamic coupling degree between the shafts to identify the uncertainty mode of the system; positioning a performance degradation shaft section by combining the temperature field and the vibration signal characteristics, and generating a system stability evaluation coefficient; and establishing a space mapping relation to construct a dynamic compensation factor matrix, and generating a control parameter adjusting quantity meeting a collaborative matching condition through fuzzy rule reasoning. According to the method, control instability caused by traditional global adjustment is avoided, precise cooperative control of the multi-axis system is achieved, and the control precision, operation stability and reliability of equipment under the dynamic working condition are remarkably improved.

The invention relates to the technical field of intelligent control of numerical control machine tools, in particular to a numerical control machine tool machining parameter self-optimization system based on cross-frequency interference coupling regulation and control, which comprises a cross-frequency interference event judgment unit and a dynamic coupling regulation and control unit, a cross-frequency interference event judgment unit calculates cross-frequency interference intensity factors in continuous M control periods by comparing a blade frequency band characteristic value rising amplitude with a cutter frequency band characteristic value falling amplitude, a cooperative regulation and control instruction is generated, a dynamic coupling regulation and control unit executes step down-regulation of the feeding amount after receiving the instruction, and the frequency band characteristic value of the blade is adjusted. And a main shaft torque compensation current is synchronously calculated and injected to stabilize the rotating speed, meanwhile, transient jitter is sampled through the rotating speed micro-oscillation suppression sub-module, reversed-phase pulse counteracting is generated, and when a blade frequency band characteristic value fluctuates, a cutter frequency band regression reference and an interference intensity factor reach a safe area, regulation and control are terminated, and the machining precision is improved.

The invention discloses an extended-range hybrid propulsion double-source dynamic coupling energy management method, which comprises the following steps: carrying out global physical modeling on a double-source power system and a flight scene, and establishing a double-source dynamic coupling model; designing a reinforcement learning physical constraint reward function, performing optimization training on each coefficient of the reward function by adopting a QMPSO algorithm, and outputting an optimized reward function coefficient; a qualified double-source dynamic coupling model is verified, and a power distribution coefficient is optimized; outputting the optimal power distribution coefficient of the battery and the range extender; the superiority of the dual-source power cooperative control strategy in the aspects of flight economy, operation stability and system life guarantee is verified through multi-dimensional comparative analysis of each performance index. Cooperative power distribution of the battery and the range extender is achieved through dynamic coupling modeling and reinforcement learning, the flight scene load requirement is met, the system energy efficiency is improved, and the service life of parts is prolonged.

The invention discloses a hydroelectric generating set speed regulation control method considering excitation coordination. The method comprises the steps that 1, system state information is collected and preprocessed; step 2, on-line identification of excitation speed regulation coupling characteristics; 3, decomposing a multi-time-scale control target; step 4, designing a self-adaptive multivariable controller; 5, working condition self-adaptive parameter optimization; step 6, intelligently inhibiting the water attack effect; 7, multi-machine cooperative reactive power optimization control is carried out; 8, optimizing and executing a control strategy in real time; the technical problems that excitation speed regulation dynamic coupling, multi-time scale response mismatch, multi-machine cooperative control and the like in a hydroelectric generating set control system cannot be comprehensively solved in the prior art are solved, and the regulation response speed and the system operation safety are improved while the frequency and voltage stability is ensured.

The invention discloses a multi-energy fusion system cooperative scheduling method and device in a port dynamic scene, and relates to the field of port energy system optimization scheduling, and the method comprises the steps: constructing a dynamic coupling relation model according to port data; according to the energy system power of each area at the current time point, a multi-objective optimization model is constructed, and objective functions of the multi-objective optimization model include operation cost minimization, total carbon emission minimization, energy storage equipment service life maximization, energy storage equipment power optimization and energy storage equipment power optimization. The constraint conditions of the multi-objective optimization model are power balance, energy storage charge state, electric hydrogen equipment capacity, berth distribution continuity and load demand priority; according to the multi-target optimization model and the port data of each region at the current time point, determining a target collaborative scheduling operation strategy of each region at the current time point, the target collaborative scheduling operation strategy comprising a multi-energy output distribution scheme, a load response instruction and an equipment operation parameter; and executing the target collaborative scheduling operation strategy of each region at the current time point.

The invention provides a hub variable pitch bearing bolt joint optimization method, system and device and a medium, and belongs to the technical field of bearings. A mechanical model and a dynamic coupling relation of a wind wheel system are constructed; establishing a multi-objective optimization function, and setting constraint conditions; based on an adaptive variation strategy optimization algorithm, setting a multi-stage search strategy, and defining a multi-layer constraint fitness function to embed a multi-objective optimization function and constraint conditions into an algorithm solving framework in combination with global search and local optimization; the improved spider bee optimization algorithm is applied to an operation characteristic model of the double-drive variable pitch system, a hub parameter set is generated, and a local stress concentration area occurring in the optimization process is recognized and avoided; performing dynamic simulation verification on an optimization result; and outputting the design scheme after the simulation verification is passed. According to the invention, a combined optimization mode based on an intelligent algorithm of a wind wheel key component and a multi-objective optimization mechanism is provided, and the balance of the design performance of the overall structure of the hub and the engineering applicability are improved.

The invention discloses an exoskeleton decoupling control method based on a fixed time expansion state observer, and the method comprises the following steps: 1), building a dynamic model of a multi-input-multi-output exoskeleton robot, and extracting an unknown dynamic coupling part; 2) designing a fixed time extended state observer to estimate uncertain dynamic coupling and unknown external disturbance in the system, and performing compensation by adopting a feedforward mode; and 3) in combination with the observer, designing a fixed-time nonsingular terminal sliding mode controller to quickly track the expected trajectory of the exoskeleton so as to realize decoupling control of the exoskeleton system. According to the invention, for a multi-input multi-output exoskeleton robot system with model uncertainty, a fixed-time convergence decoupling control method is designed in combination with an extended state observer and a nonsingular terminal sliding mode controller; the robustness and the stability of the system are improved, and meanwhile, the tracking error of the system can be controlled at a low level within fixed time.

The invention discloses a chain die forming springback deviation prediction method based on sequential synchronous springback coupling, and the method comprises the steps: decoupling the springback generated by a part in chain die forming into sequential springback of time sequence accumulation and global collaborative synchronous springback through a physical mechanism; and for sequential springback, calculating a local cumulative springback amount of the sequential springback by adopting a segmented equivalent beam theory, for synchronous springback, predicting a global coupling springback amount of the synchronous springback by adopting a point sequence neural network, and finally realizing dynamic coupling of the local cumulative springback and the global coupling springback through an exponential attenuation weight distribution function. Therefore, accurate characterization of the rebound nonlinear characteristic is realized. According to the springback deviation prediction method, the prediction precision and the calculation efficiency are greatly improved, precision control over chain die forming parts can be efficiently supported, and the calculation method for different springback modes is high in universality, easy to expand and suitable for industrial production of ultrahigh-strength steel beam parts.

The invention relates to the field of machine tool control, in particular to a gantry machine tool double-drive feeding error compensation method which comprises the steps that instruction acceleration and machining path curvature at a target moment are obtained, and the target moment is any sampling moment; calculating an asymmetric driving induction state index at the target moment based on the instruction acceleration at the target moment and the preset maximum acceleration of the machine tool, and calculating a cross beam torsional strain pre-estimation index based on the asymmetric driving induction state index, the machining path curvature and the obtained gantry cross beam span; and a gain modulation factor is constructed based on the beam torsional strain estimation index, the gain modulation factor is used as a correction factor to correct the calibrated basic coupling gain to obtain a dynamic coupling gain, the adaptive synchronous compensation amount is calculated according to the dynamic coupling gain, and a feed error compensation closed loop is completed. Through the technical scheme of the invention, the precision of an error compensation result can be improved.

The invention discloses a multi-axis linkage high-speed blanking system, and relates to the technical field of multi-axis linkage blanking. Comprising a motion control unit which is used for receiving a blanking operation instruction and coordinating motion shafts driven by a plurality of servo motors to perform synchronous motion so as to realize preset punching track and blanking operation; and the dynamic synchronous deviation detection module is connected with the motion control unit and is used for monitoring the actual motion state of the motion shafts driven by the plurality of servo motors in real time and determining the instantaneous synchronous deviation between the actual motion state and a preset synchronous motion track. Multi-axis position, speed and acceleration data are collected in real time through the dynamic synchronous deviation detection module and compared with a preset track, and multi-axis dynamic coupling deviation is accurately captured; and then a lateral perturbation force suppression module is combined with blanking parameters to establish a model, and the asymmetric lateral perturbation force when the punch cuts into the material is predicted.

The invention discloses a space environment welding digital twinning method based on multi-scale dynamic coupling, which comprises the following steps: S1, collecting key data in a welding process, and establishing a basic numerical model of the welding process and tissue change in combination with experimental data; s2, on the basis of the basic numerical model, a numerical simulation method is adopted to construct a digital twinborn model of the welding process; s3, establishing a real-time data interaction mechanism between the digital model and actual welding equipment by utilizing a virtual-real synchronization model in the digital twin model; s4, on the basis of feedback data obtained by a real-time data interaction mechanism, welding process parameters are automatically adjusted through an intelligent optimization model in the digital twin model, so that the structure change in the welding process is matched with a target prediction result; and S5, establishing a welding process data management database, storing the key data and the adjusted process parameters, and continuously training and optimizing the prediction precision of the digital twin model based on historical data in the database.

The invention discloses a labor capability allocation method and device based on a dynamic weight, a medium and a product, and the method comprises the steps: obtaining the complexity and personnel skill data of each task in response to a project labor capability allocation request; based on the dynamic coupling model, calculating the real-time matching degree of the personnel and the tasks in combination with the dynamic weight factors corresponding to the tasks; then, according to a matching result and multi-dimensional constraints such as project cost and time, a multi-objective optimization algorithm is adopted to generate an optimal labor force and energy distribution scheme and expected progress data; after the scheme is executed, the actual progress of the project is monitored in real time and compared with expected data; if the deviation exceeds a set threshold value, a feedback mechanism is triggered, the personnel skill data and the dynamic weight factor are updated, the matching and optimizing process is restarted, and closed-loop self-adaptive management of the whole period of the project is achieved until the project is completed, and the technical scheme of the embodiment of the invention remarkably improves the accuracy of resource allocation and the self-adaptive capacity of project management.

The invention relates to the technical field of inverter control, in particular to a self-adaptive MPPT inversion control method and system based on virtual inertia dynamic coupling. According to the scheme, the theoretical maximum power (Pmpp) and the dynamic reduction margin (delta P) are calculated by monitoring the output of a photovoltaic array and the frequency change of a power grid in real time, and an adjustable power target Pref is generated. And according to a frequency change rate (RoCoF), dynamically calculating virtual inertia power Pinertia, coupling the virtual inertia power Pinertia with Pref to form an active instruction Pcmd, and controlling an inverter to dynamically adjust power generation power on the premise of ensuring rapid inertia response to form a closed-loop adaptive system. According to the scheme, the power margin is dynamically established, the frequency change rate is mapped into the virtual inertia demand, the virtual inertia demand is coupled to the active instruction after slope limitation, and the problems of inertia support and power sudden change suppression of the photovoltaic grid-connected system are solved.

The invention discloses a deep peak regulation control method and device, electronic equipment and a storage medium, and relates to the technical field of data processing.The dynamic coupling relation between boiler combustion delay and turbine regulation characteristics is considered, and time-varying coupling compensation parameters are generated through a coupling compensation model; cooperative control over parameters such as main steam pressure is achieved in combination with a multi-parameter combined control framework, the response speed is dynamically adjusted by adopting a variable load rate self-adaptive adjustment algorithm, accurate matching of dynamic characteristics of the turbine and the boiler and optimization of control logic are achieved, and therefore the control efficiency is improved. The technical problems that in the prior art, due to the fact that the dynamic coupling relation between a boiler and a steam turbine is not fully considered, main steam pressure fluctuation exceeds the standard, ammonia spraying amount control is not accurate during deep peak shaving, and then safe and stable operation and economic performance of a unit are affected can be solved. The technical effects of reducing main steam pressure fluctuation, accurately controlling the ammonia spraying amount, guaranteeing safe and stable operation of the unit, ensuring that the environmental protection index reaches the standard and improving the flexible operation performance and the economical efficiency of the thermal power unit are achieved.

The application discloses a reversing rotary lifting support based on a mining shovel plate carrier, relates to the technical field of shovel plate carrier load adjustment, and specifically comprises a bracket, a transmission ring is fixed on the top of the bracket through bolts, and a rotating mechanism is movably connected in the transmission ring and at the top of the bracket; the application is dynamically coupled through the rotating mechanism-limiting mechanism, single power source drives lifting-rotation composite action, the vertical displacement is realized through the cooperation of the lifting groove on the rotating sleeve and the slope of the supporting column, the automatic engagement of the limiting block and the temporary storage circular groove and the decoupling control of rotation start and stop eliminate the delay of function switching, introduce the bimodal constraint mechanism, the limiting block is clamped into the clamping groove on the inside of the lifting frame, the rotation degree of freedom is forcibly locked, after the supporting column reaches the top of the lifting groove, the adjusting column is slid to align the limiting block with the temporary storage circular groove, the mechanical constraint is released, the counterweight block and the independent rotating motor are cancelled, the gear ring-gear meshing transmission and the modular supporting column design are adopted, and the overall machine quality is reduced.

The present application relates to a kind of planetary gear mechanism multi-point support bending-torsional coupling excitation dynamic characteristics estimation method, belong to planetary gear technical field, it is difficult to predict and inhibit the problem that multi-point support bearing under actual working condition dynamic load due to the bending-torsional vibration of transmission shaft and the dynamic coupling effect between the dynamic load of planetary gear set exists.Method includes: obtaining the parameters of each planetary gear component of planetary gear mechanism and each bearing parameter;Based on each bearing parameter, the time-varying nonlinear support stiffness of bearing is calculated;Based on the time-varying nonlinear support stiffness of bearing and the parameters of each planetary gear component, the subsystem dynamics model of planetary gear mechanism is established;When the inner and outer rings of intermediate bearing rotate simultaneously in the given time step, the dynamic load f o And deformation δ o Of bearing outer ring by planetary carrier / bearing seat, and the dynamic load f i And deformation δ i Of inner ring by transmission shaft, and the support stiffness and dynamic response of system at current time are calculated, the subsystem dynamics model of planetary gear mechanism is solved using four-order Runge-Kutta numerical iterative algorithm, and the dynamic response of planetary gear mechanism in next time step is obtained, and the dynamic characteristics estimation is completed by iterative cycle until.

The application discloses a preset time control multi-electron gun cooperative scanning optimization method and system, relates to the technical field of industrial process control and optimization, and comprises the following steps: S1, a dynamic coupling model is constructed, and multi-electron gun system parameters and a communication topology are initialized; S2, a leadership comprehensive score is dynamically calculated, and a main leader and an auxiliary leader are elected; S3, the main leader solves a local constraint optimization problem, and a global energy reference trajectory is generated; S4, each electron gun independently generates a control instruction through a respective preset time distributed optimal controller based on the global energy reference trajectory, and converges a tracking error; S5, the control instruction of each electron gun is subjected to constraint processing, and is executed; and S6, system performance is monitored, and adaptive adjustment is performed; the preset time control multi-electron gun cooperative scanning optimization method and system provided by the application solve the problems of serious interference between electron guns and poor anti-disturbance robustness in the prior art.

The application discloses a kind of dual-source dynamic coupling energy management methods of range-extender hybrid propulsion, comprising: the whole domain physical modeling of dual-source power system and flight scene is carried out, and dual-source dynamic coupling model is established;Design reinforcement learning physical constraint reward function, the optimization training of each coefficient of reward function is carried out using QMPSO algorithm, and the reward function coefficient after optimization is output;Verify the dual-source dynamic coupling model of qualified, and the power distribution coefficient is optimized;The optimal power distribution coefficient of battery and range-extender is output;Through multidimensional comparative analysis to each performance index, verify the superiority of dual-source power collaborative control strategy in flight economy, operating stability and system life guarantee aspect.The application realizes the collaborative power distribution of battery and range-extender by dynamic coupling modeling and reinforcement learning, adapts flight scene load demand, improves system energy efficiency and prolongs component life.

The invention discloses a method for improving gear machining precision. The method comprises the steps that a tool base body is subjected to cleaning, surface modification and stress relief treatment; a dynamic coupling error field model is constructed, and dynamic compensation is carried out through a feedforward and feedback composite strategy; performing tool dynamic balance grading calibration and cutting vibration active suppression; a digital twinborn model of the physical processing system is constructed, and closed-loop control is formed through virtual and real data linkage and iterative optimization; according to the method, fusion prediction is carried out on the multi-source error through the dynamic coupling error field model, adaptive fusion of physical constraint and data driving is realized, and the technical problem that an existing error compensation model is limited to a single physical mechanism and cannot accurately pre-judge multi-source error coupling is solved; through deep cooperation of error compensation, process management and control and a digital twinning technology, dynamic adaptation and full-period closed-loop regulation and control of all processes are realized, and the technical problems that in the prior art, all links are poor in collaboration, and parameters are fixed and cannot adapt to working condition changes are solved.

This invention discloses a method for solving the dynamic coupling transmission error of a helical gear combined transmission system. The method first obtains the basic parameters of the helical gear combined transmission system and establishes a three-dimensional model of the system. Second, it calculates the static transmission error and time-varying meshing stiffness during gear meshing based on finite element analysis. Next, it establishes an 18-DOF dynamic model of the helical gear combined transmission system, considering time-varying meshing stiffness, installation and machining errors, tooth flank clearance, and meshing damping. Then, it inputs gear parameters and operating conditions, including input torque, output torque, and input speed, and uses the fourth-order variable-step Runge-Kutta method to obtain the dynamic response of the helical gear combined transmission system. Finally, it obtains the dynamic coupling transmission error of the helical gear transmission system based on the dynamic solution results.

The application discloses a kind of follow-up partition regulation and control cooling device and method and pipe processing equipment, belong to composite material forming equipment technical field, follow-up partition regulation and control cooling device, including follow-up posture control mechanism, partition cooling unit and dynamic coupling control system;The follow-up posture control mechanism includes base, support component, pneumatic drive component and first angle adjusting component, the support component is hinged the base, one end of the pneumatic drive component is hinged the base, the other end is connected first angle adjusting component, and the first angle adjusting component is installed on the support component;The partition cooling unit is fixed on the support component;The dynamic coupling control system is connected and controls the follow-up posture control mechanism and the partition cooling unit.The pipe cooling device and cooling method provided by the application can inhibit interlayer separation and stress concentration, ensure the strength of pipe.

This invention discloses a method and system for sensing and controlling the posture of a heavy-duty forklift, belonging to the field of forklift technology. It includes detecting the actual weight M0 and dimensions of the current cargo, calculating the maximum lifting height threshold and maximum tilting angle threshold of the gate; when H1≥Hmax, the lifting cylinder stops working; when A1≥Amax, the tilting cylinder stops working; when the lifting and tilting actions are combined, H1 and A1 are dynamically coupled and calculated, and when M0>M, both the lifting and tilting cylinders stop working simultaneously; the displacement of the steering cylinder and the steering angle of the forklift's rear wheels are collected to obtain the real-time posture state of the forklift's rear wheels; based on this final posture state, the steering cylinder is operated until the forklift's rear wheels return to center. This invention senses the forklift's posture in real time and controls each actuator, preventing overloading, reducing operational risks, and improving the accuracy and convenience of operation by increasing real-time rear wheel posture sensing.

The invention discloses a carbon emission-carbon sink dynamic coupling model construction method under cross-modal data fusion, and relates to the technical field of carbon emission prediction.The method comprises the steps that cross-modal fusion, space-time alignment and cleaning are conducted on multi-source data related to carbon emission, and preprocessed data are obtained; extracting a carbon cycle state feature vector from the preprocessed data through an attention mechanism of a preset neural network model; respectively constructing carbon emission digital twinborn models for different types of lands; respectively constructing carbon sink digital twinborn models for different types of carbon sink areas; establishing a bidirectional feedback rule for each carbon emission digital twinborn model and each carbon sink digital twinborn model to realize dynamic coupling, and defining a dynamic coupling coefficient; and integrating the carbon cycle state feature vector, the dynamic coupling coefficient and the bidirectional feedback rule into a digital twinborn simulation engine to obtain a carbon cycle digital twinborn body. According to the method, the problems of low data credibility, model splitting and simulation staticization in the prior art can be solved.

This invention relates to the field of intelligent control technology for CNC machine tools, specifically to a self-optimization system for machining parameters of CNC machine tools based on cross-frequency interference coupling control. The system includes a cross-frequency interference event determination unit and a dynamic coupling control unit. In this invention, the cross-frequency interference event determination unit calculates the cross-frequency interference intensity factor over M consecutive control cycles by comparing the increase in the characteristic value of the blade frequency band with the decrease in the characteristic value of the tool frequency band, and generates a coordinated control command. Upon receiving the command, the dynamic coupling control unit executes a step-down adjustment of the feed rate, synchronously calculates and injects spindle torque compensation current to stabilize the rotational speed, and simultaneously samples transient jitter through a speed micro-oscillation suppression submodule and generates an anti-phase pulse to cancel it out. When the characteristic value of the blade frequency band fluctuates, the tool frequency band returns to the reference, and the interference intensity factor reaches the safe zone, the control is terminated, thereby improving machining accuracy.

The application discloses a drainage pipe network hydraulics experimental method and system based on double-branch dynamic coupling, belongs to the technical field of water conservancy projects, and comprises the following steps: a double-branch double-gradient dynamic coupling simulation device is built, four types of visual simulation experiments such as pipe network intersection flow state analysis are carried out, and data are collected; after the data are preprocessed, a critical blockage flow prediction model is established, a four-dimensional model is constructed in combination with historical data of a city drainage pipe network to train and iterate the four-dimensional model; field data are collected in real time to input the model for prediction, and the pipe network is controlled in real time according to the results and the model is continuously updated. The system comprises experimental simulation, model establishment, model training and comprehensive control modules. The application realizes multi-parameter dynamic collaborative control, constructs a multi-dimensional accurate measurement system, has the advantages of modularity and water cycle, realizes prediction control integration, provides an active prevention and control means for safe operation of the drainage pipe network, and is suitable for visual research on the hydraulic characteristics of the pipe network.

The invention discloses an engine power control method and device, and aims to solve the problems of multivariable coupling failure, slow response and poor adaptability of traditional PID (Proportion Integration Differentiation) control. The method adopts a double-layer decoupling control structure: an upper coordination layer constructs an Actor-Critic network based on a DDPG algorithm, dynamically distributes control resources in combination with an attention mechanism, and optimizes dynamic property and economical efficiency through an accumulation reward function; the lower execution layer is provided with an independent sliding mode controller, and accurate tracking is ensured. Constructing a 6 * 6 dynamic coupling matrix, and identifying and compensating a coupling coefficient in real time by an RBF neural network; and a prediction correction double loop and SVM working condition identification and fuzzy smooth switching are added. The device comprises a data acquisition interface, a central processing interface, an actuator driving interface and a multi-communication interface. After application, the supercharging pressure fluctuation is reduced to + / -3.2%, the torque deviation is 1.8%, the 0-100% load response time is shortened to 2.28 seconds, the WLTC cycle oil consumption is reduced by 6.2%, the national 6b emission is met, and the method is suitable for turbocharged engines.

The application discloses a resource scheduling method, system and device based on dynamic coupling weight and a medium, and belongs to the technical field of power systems. The method is as follows: acquiring characteristic parameters corresponding to each power market, demand parameters, operation parameters of a power grid and power flow parameters of a power transmission section; calculating a first weight factor based on the characteristic parameters, the operation parameters and the power flow parameters, and calculating a second weight factor based on the operation parameters and the power flow parameters; determining a constraint condition according to the first weight factor and the second weight factor corresponding to each market participant; and optimizing and solving with the target of minimizing the cost of each market participant in each power market under the constraint condition to obtain a resource scheduling scheme, and controlling each market participant to execute the resource scheduling scheme. Therefore, the application can improve the resource scheduling effect and reduce the cost.

The application discloses a kind of composite board hot rolling speed-deformation-pressure coupling control system and method, based on multilayer composite board hot rolling data, using long short-term memory network establishes space-time sequence prediction model, and according to the deviation of prediction quality and target quality, using multi-objective balanced optimization algorithm to feed forward correction is carried out to roll gap.On the basis of feed forward correction, the residual between thickness actual value and set outlet thickness is further considered, and a roll gap feedback adjustment strategy is designed, realizing the coupling control of composite board hot rolling speed-deformation-pressure.The composite board hot rolling speed-deformation-pressure coupling control method proposed in the application has high control precision, makes up for the defects of traditional methods, improves the speed-deformation-rolling force dynamic coupling control, and can be widely used in multilayer composite board hot rolling.

The invention provides a steering and braking coupling system, a control method, a vehicle and a storage medium. The steering and braking coupling system comprises a motor, a braking assembly and a steering assembly. Wherein the motor is selectively in dynamic coupling connection with the braking assembly and / or the steering assembly. According to the scheme, one motor is selectively coupled with the hydraulic braking assembly and the steering assembly, the steering and braking functions of the vehicle can be achieved through the single motor, the number of motors needed by the whole vehicle is reduced, additional transmission parts and devices are reduced, and the internal space of the vehicle can be saved.