230 results about "Motor model" patented technology

The invention provides a tractor semitrailer full-working-condition active stability control system and method, and belongs to the technical field of vehicle engineering. The system comprises a kinetic model module, a reference quantity determination module and an active stability controller module. The dynamic model module constructs a linear three-degree-of-freedom tractor semitrailer model, a hub motor model and a longitudinal driver model. The reference quantity determination module generates an ideal state value according to the steady state condition of the system and corrects the ideal state value in combination with the road attachment condition. The active stability controller module is divided into three layers, an MIMO-IMFAC controller calculates additional yawing moment, a torque optimization controller optimizes tire load distribution through a quadratic programming algorithm, and a driving / braking torque distribution controller preferentially uses regenerative braking and dynamically adjusts braking torque of the semitrailer according to the yawing moment. By adopting the control system and the control method, the stability and the dynamic response capability of the vehicle under complex working conditions are remarkably improved.

The invention relates to the technical field of servo control, in particular to a high-precision current closed-loop control system and method for a servo driver, and the method comprises the steps: collecting three-phase current, rotor position, winding temperature and bus voltage, and constructing a state data set; constructing a parameter identification model fusing physical prior and an attention mechanism, deducing inductance and flux linkage parameters influenced by temperature, saturation and cross coupling, and correcting a motor model in real time; the correction parameters are injected into an FOC decoupling and feedforward link, and a self-adaptive PI regulator is linked to set the gain of a current loop on line; calculating a d-q axis voltage command according to the update model to respectively control excitation and torque components; an extended state observer is introduced to estimate load abrupt change and parameter disturbance, feed-forward compensation is carried out, and three-phase PWM is generated through anti-Parker and SVPWM; and an inverter nonlinear compensation model of a dead zone and switch delay is constructed, PWM is pre-distorted and output to a power device, and robust and low-ripple current closed-loop control of the servo motor is realized.

The method comprises the following steps: judging whether each wheel clamping force sensor works normally, if so, directly obtaining a brake clamping force as a final brake clamping force, if not, obtaining a first brake clamping force through a motor model, and if not, obtaining a second brake clamping force through a motor model; second brake clamping force is obtained through the brake friction plate model, and fusion is conducted through the fuzzy logic weight algorithm to obtain final brake clamping force; judging whether the wheel has a locking risk or not, if not, calculating the current ground longitudinal force of the wheel according to a kinetic model of the wheel, if so, triggering longitudinal force locking logic, and acquiring the current locking ground longitudinal force as the current ground longitudinal force of the wheel; calculating the current utilization adhesion coefficient of each wheel in combination with the vertical force; and determining the road surface type of the vehicle by using a fuzzy rule based on the adhesion coefficient of each wheel. According to the invention, the problem of low identification precision is solved.

The invention provides a motor parameter online identification method based on an improved golden section method, and belongs to the technical field of motor parameter identification, and the method comprises the steps: S1, obtaining a residual function of a recursive least square method with a forgetting factor when parameter identification is not carried out on a motor model for the first time; s2, detecting whether the residual function exceeds a preset threshold value or not, and executing a step S3 when the residual function exceeds the preset threshold value; s3, taking the residual function as a target function, and adjusting the forgetting factor by using a golden section method to obtain an optimized forgetting factor; and S4, carrying out motor parameter online identification by using a recursive least square method with the optimized forgetting factor. The method has the advantages that the forgetting factor is dynamically adjusted through the golden section method, the residual function serves as the target function, the optimal solution of the forgetting factor under the corresponding working condition can be found when the system changes rapidly, the tracking speed is increased, the steady-state precision is further improved, and therefore the overall performance of parameter identification is improved.

The invention relates to the technical field of motor model selection, in particular to a motor model selection method and system, and the method comprises the steps: constructing a distributed data query library, and importing a standardized feature vector into the distributed data query library to obtain a candidate motor model set through matching; obtaining the comprehensive performance score of each candidate motor model, triggering a model rejection mechanism based on a preset score threshold value, and carrying out performance parameter sorting on the reserved candidate motor models to generate a preferred motor model set; obtaining a comprehensive energy efficiency score of each preferred motor model, and establishing a Pareto frontier solution set for secondary screening to obtain a recommended motor model set; the recommended motor model is divided into a plurality of motor model selection hierarchies, the motor model selection hierarchies serve as the final motor model selection result to be output, the scientificity, accuracy and practicability of motor model selection are improved through the intelligent motor model selection process, and high-quality model selection decision support is provided for a user.

The invention discloses a magnetic lead screw motor linear speed control method based on an improved active-disturbance-rejection controller, and the method comprises the following steps: building a magnetic lead screw motor model, designing an active-disturbance-rejection control law according to the motor model, carrying out the higher-order operation of an extended state observer in a controller, and introducing an acceleration error at a reasonable position of a state equation, thereby achieving the linear speed control of a magnetic lead screw motor. And the improved active disturbance rejection controller is obtained. Compared with the prior art, the improved method provided by the invention has the advantages that the observation capability of the expansion state observer on the disturbance error is improved, so that the anti-interference performance of the control system is improved, and the method has certain universality. Simulation and experiment results show that high-quality operation of the linear driving system of the magnetic lead screw motor can be realized by adopting the improved active-disturbance-rejection control strategy.

The invention discloses a 15-degree-of-freedom whole vehicle dynamics modeling method for a steer-by-wire system, and the method comprises the steps: dividing a whole vehicle model into six dynamics modules: a vehicle body model, a nonlinear tire model, a suspension model, a wheel motion model, a motor model, and a steer-by-wire model; in addition, a tire slip angle and slip rate state quantity calculation module and a steer-by-wire control module are adopted, a whole vehicle dynamic model is established and comprises six degrees of freedom of longitudinal, lateral, yawing, pitching, tilting and vertical movement of a vehicle body, two degrees of freedom of rotation and vertical movement of four distributed wheels and one degree of freedom of vehicle steering, and the total number of the degrees of freedom is 15. The method designed by the invention is suitable for common vehicle driving conditions so as to research the control performance, the stability, the safety, the dynamic response and the characteristics of a steer-by-wire system of the vehicle and vehicle performance under different working conditions, and theoretical support is provided for optimization of future vehicle design and control strategies.

According to the ZYNQ platform-based motor simulation method provided by the invention, the ARM + FPGA heterogeneous architecture characteristic of ZYNQ is fully utilized, a motor simulation model is intelligently segmented and deployed, and a set of complete solution from model design to code generation, deployment and debugging is constructed based on a real-time Linux system. The method has the advantages of being high in universality, easy and convenient to use and low in cost, the motor model can be rapidly built according to the electrical characteristics of the motor, codes suitable for different computing resources are generated through the code generation technology, and efficient hardware-in-the-loop simulation is achieved.

The invention discloses an encoder delay compensation method and system and a related device, which are used for effectively compensating angle lag caused by encoder signal processing delay in different rotating speed ranges and improving the control performance of a motor. The method comprises the following steps: under the steady-state condition of constant-speed no-load operation of a motor, acquiring current and electrical angular velocity in a motor controller and first voltage output by a control loop; calculating a second voltage based on a motor model according to the current, the electrical angular velocity and the motor operation parameters; calculating an initial angle deviation of the encoder according to the first voltage and the second voltage; performing iterative adjustment on the initial angle deviation until the difference value between the first voltage and the second voltage meets a preset error threshold value; establishing a fitting model according to the at least two groups of electrical angular velocities and the corresponding angular deviation data to obtain a compensation coefficient; and when the motor runs, performing delay compensation on the output angle of the encoder according to the compensation coefficient and the real-time electrical angular velocity.

The invention discloses a deadbeat predictive current control method based on a composite disturbance observer, and belongs to the technical field of dual three-phase permanent magnet motor control. The dual three-phase permanent magnet motor is composed of two sets of stator three-phase windings, and the space phase shift angle is 30 degrees. The method comprises the following steps: establishing a discretized motor model containing total disturbance under a double-dq coordinate system; a composite disturbance observer is designed, and direct current disturbance and alternating current disturbance are synchronously estimated through a second-order disturbance expansion state observer embedded into a generalized integrator; and performing feed-forward compensation by using the disturbance estimation value, and calculating a voltage control quantity in combination with deadbeat prediction. By introducing the second-order disturbance expansion state observer and the generalized integrator, synchronous compensation of direct current disturbance and alternating current disturbance is realized, so that current harmonics are effectively reduced, and the current waveform quality is improved. Meanwhile, complete decoupling of the current control loop and the disturbance suppression loop is realized. In addition, the method still shows high robustness under the condition of motor parameter mismatch.

The invention discloses a high-performance reaction flywheel anti-interference control method, system and device and a medium, relates to the technical field of aerospace, and solves the problems that parameters of a motor model are inaccurate, and time-varying friction torque and load torque bring difficulty to implementation of high-dynamic and high-precision control of a reaction flywheel. The control method comprises the following steps: establishing a kinematics and dynamics model of the reaction flywheel; a mathematical model for controlling the rotating speed of the reaction flywheel is established, the mathematical model considers the uncertainty of model parameters and Td, and Td represents the influence of time-varying friction torque and load torque; designing a robust disturbance observer to estimate the uncertainty of the model parameters and the Td to obtain a disturbance estimation result; and designing a rotating speed loop controller and a current loop controller according to an interference estimation result. According to the method, high-dynamic and high-precision reaction flywheel rotating speed control can be realized under the influence of inaccurate model parameters, time-varying friction torque and load torque.

The invention relates to the technical field of motor control, and discloses a sensorless direct-current brushless motor control system which comprises a motor modeling module, a state estimation module, a deep learning prediction module, a filtering fusion module, a self-adaptive control module and a control execution module. The invention also discloses a sensorless direct current brushless motor control method, which comprises the following steps of: model establishment: constructing an electrical model and a mechanical model for describing the dynamic behavior of the motor so as to obtain a motor operation dynamic model suitable for control calculation; and state estimation: performing preliminary estimation on the rotor position and the rotor speed of the motor by utilizing the running dynamic model and combining current and voltage real-time signals acquired in the running process of the motor. According to the method, high-precision and high-stability control of the motor under different load and operation conditions is realized through adaptive control and rotor state estimation optimization technologies, real-time dynamic adjustment and commutation accuracy of the motor are ensured, and the overall control performance is improved.

The invention discloses a closed space temperature rise evaluation method and device for a Stirling cylindrical linear motor. The method comprises the following steps: building a motor model; obtaining a fluid domain model of the closed space according to the motor model; performing CFD simulation according to the fluid domain model to obtain a convective heat dissipation coefficient; acquiring loss and heat generation rate of the heat source part; obtaining a first model according to the motor model, the fluid domain model and the loss and heat generation rate; performing steady-state thermal simulation according to the first model based on a first condition to obtain steady-state temperature distribution; the first condition comprises removal of convection heat dissipation of a cylindrical linear motor and a fluid domain contact surface; importing the convective heat dissipation coefficient into the first model to obtain a second model; and taking the steady-state temperature distribution as initial temperature distribution, performing transient thermal simulation according to the second model, and taking a simulation result as initial temperature distribution of transient thermal simulation of a next time step until calculation of a preset maximum time step is completed, so as to obtain the running temperature rise of the motor.

The present invention discloses a multi-objective optimization method and system for a cylindrical permanent magnet linear motor based on NSGA-II. A sensitive parameter algorithm is used to construct a motor optimization objective function. A two-dimensional motor model is constructed according to the motor optimization objective function and the motor size. Then, motor-related data is derived from the two-dimensional motor model. A bagging algorithm is used for fitting training to obtain a training model with a higher degree of fit between training values ​​and target values. Finally, an optimal value interval of the motor optimization objective is determined according to the training model, and the NSGA-II algorithm is used to optimize the optimal interval to obtain an optimal solution for multi-objective optimization, thereby realizing multi-objective optimization of the motor and outputting a Pareto front solution set of the optimized output power and efficiency, as well as various optimization parameters.

The invention discloses a model prediction control method for a low-common-mode-voltage dual three-phase motor with improved steady-state performance, and belongs to the technical field of dual three-phase permanent magnet synchronous motor control. The method comprises the following steps: firstly, suppressing harmonic current by synthesizing virtual voltage vectors with a specific duty ratio, and synthesizing a candidate output voltage vector by using two adjacent virtual voltage vectors according to a predefined duty ratio; designing a value function without a weight coefficient to select an optimal voltage vector; designing a dual duty ratio technology to calculate the duty ratios of the two virtual voltage vectors for synthesizing the optimal voltage vector; a specific switching sequence in which virtual zero vectors are arranged on two sides and in the middle of a control period is designed, and the switching sequence is generated by using a phase-shifting carrier method. According to the invention, the common-mode voltage can be effectively reduced without adding any hardware circuit, the current harmonic wave and the torque ripple are obviously reduced by expanding the modulation range, the steady-state performance of the system is improved, and the method is suitable for a dual three-phase motor driving system with high requirements on performance and reliability.

The invention relates to the field of airplane airborne pod servo control algorithm design, and provides a method and a system for calculating external force disturbance resistance according to current feedback of a servo motor. The method comprises the steps that three-phase currents Ia, Ib and Ic and an electrical angle theta are collected, two-phase currents Id and Iq are obtained through Clarke conversion and Park conversion, and the Iq is defined as an external force disturbance resistance estimator IQ; establishing a set value r (t) and a deviation e (t) = r (t)-IQ, calculating an output u (t) of a PID controller, and writing the u (t) as a q-axis control reference into a driver: mapping to Vq and Vd in a voltage control mode for inverse transformation and PWM modulation, mapping to q-axis current reference Iqref in a current control mode, converting the q-axis current reference Iqref into a corresponding voltage instruction by a driver current loop, and driving a servo motor to generate an electromagnetic torque for counteracting disturbance and reactance. A complex motor model and a high-end inertial sensor are not needed, the calculation amount is small, disturbance can be rapidly and accurately estimated, and the stable control performance of the aircraft pod in a complex flight environment is guaranteed.

The invention provides a driving anti-slip control method, device and equipment for an electrically driven vehicle based on road surface recognition and a medium. The method comprises the following steps: establishing a vehicle system model comprising a single-wheel dynamics model and a motor model; a road surface recognizer is constructed based on the Burckhardt tire mathematical model and similar road surface matching, the road surface recognizer adopts a double-layer screening strategy to carry out similar road surface matching, and the optimal slip rate and the maximum road surface adhesion coefficient of the current road surface are recognized through the road surface recognizer; a composite PID-SMC controller is constructed based on the optimal slip rate and the real-time slip rate of the wheels; based on the slip rate error, a smooth switching function is adopted to determine the weight factor of a sliding mode controller, the total anti-slip correction torque is calculated, and the weights of the two controllers are adaptively adjusted for smooth control, so that the technical problem that the buffeting phenomenon is still difficult to completely eliminate under high-gain switching of the distributed electric drive vehicle is solved.

This invention discloses a dynamic weighted adaptive predictive control method and apparatus based on twin model fidelity feedback. The method includes: establishing a digital twin model of the motor to obtain the predicted current of the motor's future state, addressing the impact of motor model uncertainty and time-varying parameters on control performance; calculating the prediction fidelity of the motor's digital twin model in real time based on the predicted current and the measured current of the motor; dynamically adjusting weight factors using a fuzzy logic decision system based on the motor's real-time operating conditions and the prediction fidelity to achieve switching of the control objective; calculating the optimal voltage vector corresponding to minimizing the cost function using model predictive control theory based on the predicted current and the dynamically adjusted weight factors; and achieving operation of the permanent magnet synchronous motor at low switching frequencies based on the optimal voltage vector. This invention can effectively compensate for control delay and model uncertainty at low switching frequencies, significantly improving the high dynamic response performance and robustness of the permanent magnet synchronous motor.

A method for controlling operation of a brushless winch motor includes comparing an actual first-moment operating parameter with a predicted first-moment operating parameter in first predicted operating data to obtain a first offset, outputting a first feedback parameter based on the first offset and a motor model and adjusting operation of the winch motor based on the first feedback parameter, obtaining an actual second-moment operating parameter of the adjusted winch motor, and comparing the actual second-moment operating parameter and the predicted second-moment operating parameter to obtain a second offset, correcting the operating model of the winch motor based on the second offset, outputting the predicted second-moment operating data based on the corrected operating model of the winch motor and adjusting motor operation based on a difference between the actual operating parameter of the winch motor and the predicted second-moment operating data as a second feedback parameter.

The invention relates to a model prediction control method for temperature parameter self-tuning in a rubber mixing process. The method comprises the following steps: S1, constructing a mechanism model and a rotor motor model in a mixing heat transfer process; s2, constructing a prediction model under an incremental control method based on the mechanism model and the rotor motor model; s3, constructing an MPC controller based on the prediction model, wherein the controller adopts a genetic algorithm to set parameters; s4, the MPC controller obtains the control target, the controlled quantity, the state quantity and the disturbance quantity after discrete sampling, the control target, the controlled quantity, the state quantity and the disturbance quantity are input into a prediction model, the prediction model outputs a prediction sequence, the prediction sequence is input into a rolling optimization module of the MPC controller to obtain an optimal control sequence, and the rolling optimization module adopts the parameters set in the S3; and S5, inputting the optimal control sequence into the internal mixer for control. Compared with the prior art, the method has the advantages that the problems that high-precision control over the internal mixing temperature is difficult, control parameters are difficult to set, and real-time observation is difficult are solved.

The application discloses a kind of closed space temperature rise evaluation method and device of Stirling with cylindrical linear motor, method includes: building motor model;According to the fluid domain model of closed space obtained from motor model;According to the convection heat dissipation coefficient obtained by CFD simulation of fluid domain model;Obtain the loss and heat generation rate of heat source component;According to motor model, fluid domain model and loss and heat generation rate, obtain first model;Based on the first condition, steady-state thermal simulation is carried out according to first model, and steady-state temperature distribution is obtained;First condition includes eliminating the convection heat dissipation of cylindrical linear motor and fluid domain contact surface;The convection heat dissipation coefficient is introduced into first model, and second model is obtained;With steady-state temperature distribution as initial temperature distribution, according to second model, transient thermal simulation is carried out, and simulation result is used as initial temperature distribution of next time step transient thermal simulation, until the calculation of preset maximum time step is completed, and the motor operating temperature rise is obtained.

The application discloses an improved flux linkage observer position sensor observation method and system, comprising the following steps: constructing a motor model, and estimating a flux linkage vector; performing amplitude normalization processing on the flux linkage vector, and constructing a quadrature error signal; inputting a phase-locked loop, and obtaining a motor angle and a motor estimated rotating speed. The application has high adaptability, is small in system dependence degree, and is convenient to transplant in different systems.

1. Name of the product in this design: Motor (Model XG80H). 2. Purpose of this design: This motor is used to drive a hydraulic oil pump. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

The utility model discloses a voice interaction motor teaching instrument, relates to the technical field of teaching models, and aims to solve the problems that a current teaching motor model cannot completely meet teaching requirements, is complex in main performance structure, not simple and clear enough, small in size and inconvenient for students to observe; current display is not visual enough, the stress direction cannot be displayed, and the commutator structure and connection are not clear. The utility model solves the technical problems of high speed, inconvenience in dynamic observation, poor controllability and poor special phase demonstration effect when a model rotates, and comprises a bracket, two sides of the bracket are respectively hinged with an S-pole indicator board and an N-pole indicator board, and the opposite surfaces of the S-pole indicator board and the N-pole indicator board are respectively provided with a semicircular groove in the middle. And the stepping motor is adopted to drive the rotor frame to rotate, so that the rotation speed can be controlled, the rotation speed of the model can be controlled, dynamic observation is facilitated, the controllability is high, and the demonstration effect of a special phase is guaranteed.

This invention relates to the field of servo control algorithm design for aircraft airborne pods, providing a method and system for calculating external disturbance reactance based on servo motor current feedback. The method acquires three-phase currents Ia, Ib, and Ic, and electrical angle θ, and obtains two-phase currents Id and Iq through Clarke and Park transforms, defining Iq as the external disturbance reactance estimate IQ. A setpoint r(t) and deviation e(t) = r(t) - IQ are established, and the PID controller output u(t) is calculated. u(t) is used as the q-axis control reference and written to the driver. In voltage control mode, it is mapped to Vq and Vd for inverse transformation and PWM modulation; in current control mode, it is mapped to the q-axis current reference Iqref and converted into corresponding voltage commands by the driver's current loop, driving the servo motor to generate electromagnetic torque to cancel out disturbance reactance. This invention eliminates the need for complex motor models and high-end inertial sensors, has low computational complexity, and can quickly and accurately estimate disturbances, ensuring stable control performance of the aircraft pod in complex flight environments.

The utility model discloses a fishpond aerator which comprises a driving system, a transmission mechanism, an aeration assembly, a connecting assembly and a buoyancy device. The lower end of the driving system is connected with the transmission mechanism, the connecting assembly is arranged on the periphery of the transmission mechanism, and the buoyancy device is arranged at the outer end of the connecting assembly. The oxygenation assembly is mounted at the bottom end of the transmission mechanism; the driving system comprises an outer housing, an outer rotor assembly, an inner stator assembly, a motor shaft and a supporting assembly; the inner stator assembly sleeves and is fixed on the motor shaft, and the bottom of the inner stator assembly is connected with the supporting assembly; the outer rotor assembly sleeves the motor shaft and wraps the periphery of the inner stator assembly; and the outer housing is arranged on the outermost side of the driving system. Through reasonable optimization of motor model selection and overall structure design, unnecessary material consumption and processing technology complexity are reduced, so that the production cost of equipment is effectively reduced, and the market competitiveness is improved.

The application belongs to the technical field of motor control, and discloses a motor model prediction control method based on asymmetric hybrid vector pulse width modulation. Six sectors of a space voltage vector are divided into odd sectors and even sectors. In the odd sectors, only zero vectors and corresponding non-zero effective vectors are used for two-stage asymmetric synthesis, so that switching state changes only occur once in a period. In the even sectors, three-stage asymmetric synthesis is performed on non-zero effective vectors in the sector, non-zero effective vectors in adjacent odd sectors selected by a cost function and zero vectors, so that current tracking performance is ensured while unnecessary switching actions are avoided. Through the above manner, targeted control of switching times in different sectors is realized, and the average switching frequency is reduced. In the even sectors, optimization is performed between non-zero effective vectors in adjacent odd sectors, so that current prediction errors are further optimized without significantly increasing switching times, and current performance is ensured.

The invention discloses a dual three-phase permanent magnet synchronous motor parameter identification method and a related device, and the method comprises the steps: determining a voltage basic equation and a flux linkage basic equation of a dual three-phase permanent magnet synchronous motor, and a dual-dq six-dimensional transformation matrix and a vector space decoupling rotation transformation matrix; integrating the two basic equations by using a double-dq six-dimensional transformation matrix to obtain a first motor model under a double-dq coordinate system, integrating the two basic equations by using a vector space decoupling rotation transformation matrix to obtain a second motor model under a vector space decoupling coordinate system, and performing parameter unification on the two motor models to obtain a full-rank equation set; and the parameter identification of the dual three-phase permanent magnet synchronous motor is completed by solving the full-rank equation set. According to the method, the simultaneous identification of various parameters of the dual three-phase permanent magnet synchronous motor is realized by unifying the motor parameters of the first motor model of the dual three-phase permanent magnet synchronous motor under the dual dq coordinate system and the second motor model of the dual three-phase permanent magnet synchronous motor under the vector space decoupling coordinate system and constructing the full-rank equation set.

This utility model discloses a motor housing explosion-proof pressure-resistant testing device, including a base and two mounting mechanisms mounted on the base. Each mounting mechanism includes a transverse groove vertically extending along the length of the base on one side of its upper surface. A threaded rod is laterally rotatably connected to the middle of the inner surface of the groove, and a threaded sleeve is threadedly connected to the outer surface of the threaded rod. A slider adapted to the length of the groove is slidably connected inside the transverse groove. A through groove adapted to the threaded sleeve is laterally extended through the middle of the side surface of the slider, and the threaded sleeve is vertically slidably connected inside the through groove. Bolt slots extending along the length of the base are vertically extended through the upper surface of the slider and at both ends of the threaded rod. This device features two mounting mechanisms on the base, with elongated bolt slots on the sliders of both mechanisms, and both sliders are capable of lateral movement. This allows the device to adapt to various motor models, thereby improving its versatility.

The invention relates to the technical field of aviation propulsion, in particular to a distributed electric propulsion system combined test platform. The device is used for exploring power layout combination design, and a plurality of propelling unit combination modules are connected in series and loaded to form a wing pneumatic structure. According to the combination module, parameters such as position distribution and power source size can be changed, the combination mode is not affected, and more distributed electric propulsion power layout combination conditions can be explored. In addition, a traditional bent knife support is combined for half-model experiment support design, and the problem that due to the limitation of wind tunnel size and motor model selection, design limitation is generated on the wing length of wings of the distributed electric propulsion system is solved. According to the invention, the problem that the pneumatic test is affected due to the complex combination scheme and the limited test space size existing in the distributed electric propulsion power configuration research is solved.