167 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 provides a small and medium-sized reservoir operation safety evaluation system based on sky-ground work, and belongs to the technical field of hydrological monitoring. The device comprises a space-time alignment layer, a feature weighting layer and a dynamic coupling layer which are connected in sequence, the space-time alignment layer is used for performing time alignment and space alignment on the input data of the sky-land water conservancy project; the feature weighting layer is used for quantifying contribution degrees of different monitoring features to safety assessment according to the data after time-space alignment; and the dynamic coupling layer adopts a dynamic weight distribution strategy for different modules through a multi-module coordination engine, fuses feature weighting to obtain a fusion result, and outputs a small and medium-sized reservoir operation safety index according to the fusion result. The evaluation result is more accurate, and the timeliness is better.

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 provides a cross-coupling cooperative control method for double permanent magnet synchronous motors of an aviation airborne suspension lifting system. The cross-coupling cooperative control method comprises the following steps: acquiring a global instruction and real-time state feedback of the double motors; based on the global instruction and the real-time state feedback, constructing a dynamic topology and dynamically adjusting the weight to obtain the weight of the dynamic topology; generating a collaborative correction based on the weight of the dynamic topology and a consistency protocol; dynamic error balanced distribution under load disturbance is carried out based on the collaborative correction amount; and controlling the double motors based on an error balanced distribution result. According to the method, dynamic weight distribution and dynamic error balanced distribution are combined, multi-source interference working conditions such as mechanical unbalance loading, dynamic coupling and parameter disturbance can be dealt with, synchronous errors and disturbance fluctuation in a dual-motor system can be accurately monitored and coordinated, and high-precision stability of cooperative driving is guaranteed.

The invention discloses an urban pipe network multi-pump station intelligent joint control system based on an SWMM dynamic coupling model and an adaptive optimization method, the system aims at topological characteristics of an urban pipe network, takes the SWMM model as a core, and comprises the following five modules: a global sensing module, an SWMM model prediction control module, a collaborative optimization module, an intelligent joint control execution module and a health assessment module. The invention provides an urban pipe network multi-pump-station intelligent joint control system based on an SWMM dynamic coupling model and an adaptive optimization method, which are suitable for collaborative operation optimization and dynamic regulation and control of multiple pump stations and multiple gates in an urban pipe network, and can realize global hydraulic collaboration, energy consumption optimization and facility protection of the pipe network.

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 a parameter optimization method and system for dynamic coupling of a roller press, and the method comprises the steps: constructing the interaction among all parts through a knowledge graph in the dynamic coupling process of the roller press; establishing a synchronous link between nodes in the knowledge graph by using a Bayesian algorithm to obtain an optimized knowledge graph; in the working process of the roller press, matching corresponding coupling parameters in the optimized knowledge graph by setting output parameters of the roller press; when any coupling parameter fluctuates, other coupling parameters are optimized and adjusted through the optimized knowledge graph, so that the fluctuating parameter is compensated; and parameter optimization in the dynamic coupling process of the roller press is realized. According to the method, the coordination and response speed of parameter adjustment are improved, the problems of quality fluctuation and high energy consumption caused by coupling imbalance are remarkably reduced, intelligent, high-precision and high-stability operation of the rolling process is achieved, and the method has good engineering practical value and popularization prospects.

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 thermal power generating unit dynamic coupling compensation coordination control system, which belongs to the technical field of thermal power generating units, and comprises a dynamic coupling compensation module, a self-adaptive sliding pressure optimization module and a coordination control execution module, the dynamic coupling compensation module is used for receiving a load instruction sent by a preset control terminal and generating a dynamic compensation signal; the self-adaptive sliding pressure optimization module is used for correcting a preset initial sliding pressure curve in real time based on the time-varying characteristics of the actual operation parameters of the thermal power generating unit, superposing the current load demand of the thermal power generating unit and the heat storage capacity change of the boiler in the initial sliding pressure curve, and dynamically generating an optimal operation initial pressure target value; and the coordination control execution module is used for integrating the dynamic compensation signal and the optimal operation initial pressure target value into a unified control instruction. The dynamic coupling compensation module, the self-adaptive sliding pressure optimization module and the coordination control execution module are arranged, so that the manual intervention requirement is remarkably reduced.

According to the air conditioning system and method for the energy-saving air conditioner, the dynamic coupling relation between the airflow speed and the temperature in all the areas is determined by monitoring the temperature and the airflow speed of all the areas when the energy-saving air conditioner runs; the equivalent energy consumption variable quantity generated by the energy-saving air conditioner in each area is determined according to the temperature change characteristics and the airflow speed change characteristics of each area; according to the dynamic coupling relation between the airflow speed and the temperature in each area and the equivalent energy consumption variable quantity generated by the energy-saving air conditioner in each area, the local energy efficiency deviation between the indoor areas is determined; and then the tail end air volume distribution parameters of the energy-saving air conditioner for all the air conditioner air outlets are determined, and then the air conditioner air outlets of the energy-saving air conditioner are adjusted according to all the tail end air volume distribution parameters. By the adoption of the scheme, the energy-saving air conditioner can be dynamically adjusted based on the energy efficiency difference between the indoor areas.

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 belongs to the technical field of cap screwing processes, and discloses a multi-element cooperative automatic cap screwing process which comprises the following steps: S1, a bottle cap pretreatment and supply system; s2, a bottle body accurate positioning and fixing system; S3, a two-stage collaborative cap screwing execution system; s4, a multi-element sensing and feedback control system; and S5, process switching and system maintenance. The problem that a sealing interface is pressed unevenly due to deflection of a cover body or instability of a container is fundamentally solved, specifically, non-contact posture correction replaces traditional mechanical forced correction, microstructure damage caused by thread dislocation is avoided, the countertorque of the screw cover is counteracted in real time through a multi-degree-of-freedom constraint mechanism, and the reliability of the screw cover is improved. Risks of dumping of a height-diameter-ratio container and liquid sputtering are thoroughly eliminated, based on the dynamic coupling effect of profiling clamping and gravity compensation, the axis of a bottle opening is continuously kept in an ideal centering state in high-speed operation, and zero-interference continuous control over a mechanical transmission path of a sealing interface is achieved.

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 composite plate hot rolling speed-deformation-pressure coupling control system and method, and the method comprises the steps: building a time-space sequence prediction model through employing a long-short-term memory network based on the hot rolling data of a multi-layer composite plate, predicting the rolling speed, rolling force and deformation, and obtaining the deformation of the multi-layer composite plate according to the deviation between the prediction quality and the target quality. And carrying out feed-forward correction on the roll gap by adopting a multi-target balance optimization algorithm. On the basis of feed-forward correction, the residual error between the actual thickness value and the set outlet thickness is further considered, a roll gap feedback adjustment strategy is designed, and composite plate hot rolling speed-deformation-pressure coupling control is achieved. The composite plate hot rolling speed-deformation-pressure coupling control method is high in control precision, the defects of a traditional method are overcome, speed-deformation-rolling force dynamic coupling control is improved, and the method can be widely applied to multi-layer composite plate hot rolling.

The invention relates to the field of robot control, and particularly discloses a PID control and gait planning method of a wheel-foot composite structure and electronic equipment, and the method comprises the steps: building a PID control model with a coupling compensation item; angle errors of all joints are calculated, motion interference of adjacent joints is compensated according to a PID control model with a coupling compensation item, in a wheel type mode, an outer ring takes a second threshold value as a target to control the speed, an inner ring corrects the posture according to IMU feedback, and the posture control weight is enhanced when the inclination angle exceeds a third threshold value; in the foot mode, PID parameters are adjusted in advance according to laser radar prediction, and the complex terrain adaptability is improved; terrain, gait, control precision and energy consumption data are collected in real time, PID parameters are automatically adjusted based on a PPO algorithm, and the control precision of the robot in the unknown terrain is improved; according to the invention, through a dynamic coupling compensation mechanism, the motion interference between the joints is accurately solved, so that the joints keep high coordination in motion, and the joints can stably keep accurate motion postures no matter what complex terrains face.

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.