31 results about "Loop performance" patented technology

The invention discloses a thermal power plant boiler combustion control method and system, and relates to the field of boiler combustion system control technical equipment. By collecting control loop data of a boiler combustion system in real time, dynamic characteristics, stability and response efficiency of a loop can be analyzed through a multi-dimensional performance evaluation model (including six indexes of steady-state tracking performance, static tracking performance, maximum control deviation, steady-state error, over-limit time and comprehensive tracking performance); based on the evaluation result, the air-coal ratio, the oxygen amount set value and the over-fire air door opening degree are dynamically adjusted through a combustion linkage algorithm, and intervention correction is conducted on set values of loops such as superheat degree control, primary air, secondary air and the coal amount of a coal mill when the performance of the control loop is deteriorated; combining a least square support vector machine to predict NOx concentration and boiler efficiency; and finally, combustion optimization is realized through closed-loop control. The problems that traditional PID control lags behind and loop coordination is poor are solved, boiler efficiency is improved, and pollutant emission is reduced.

The invention provides a joint robot singular system control method based on an interval type-2 fuzzy sliding mode, and the method comprises the steps: sensing and quantifying the dynamic drift of a singular region caused by the change of a tail end load in real time, and constructing a dynamic singular interval; inputting the dynamic singular interval into an interval type-2 fuzzy system, and outputting a disturbance prediction interval and a nominal disturbance prediction quantity; generating a dynamically adjusted sliding mode surface according to the uncertainty reflected by the disturbance prediction interval; fusing nominal dynamics feed-forward compensation, correction feedback based on a sliding mode surface and feed-forward disturbance compensation based on nominal disturbance predictive quantity to synthesize a final joint control moment; the final joint control torque is executed, the actual response is collected, closed-loop evaluation is formed, and online correction is conducted on the dynamic singular interval according to the closed-loop performance. The method can sense and actively adapt to dynamic drifting of the singular area in real time so that it can be guaranteed that when the robot passes through the time-varying singular area under the complex working condition, the dynamic drifting of the time-varying singular area can be accurately detected. And high-precision and high-stability trajectory tracking can still be realized.

This invention discloses an adaptive impedance control method and system for a robotic arm based on inner-loop performance feedback and an energy tank. It constructs a collaborative impedance control framework with inner and outer loops: the outer loop employs a reinforcement learning-based impedance controller, while the inner loop uses a sliding mode controller. The dynamic performance indicators of the inner-loop sliding mode controller are fed back to the outer-loop reinforcement learning agent in real time, guiding the adaptive adjustment of impedance parameters. Simultaneously, force / torque sensors detect the robotic arm's interactive power, and an energy tank mechanism is used to constrain the energy output of the reinforcement learning, preventing energy overshoot and system instability during training and execution. This method achieves force / position hybrid control performance while maintaining the robotic arm's compliance, safety, and energy stability in complex or unknown environments, improving the robustness and control accuracy of the robotic arm's interaction with the environment, and forming a comprehensive control closed loop with dynamic performance constraints, energy constraints, and adaptive learning.

The invention provides a new energy automobile hardware-in-the-loop performance calibration method and system, and the system comprises a virtual function test module which is used for determining each calibration item and a corresponding calibration value range by taking the function set by a virtual whole automobile as a target; the virtual calibration module is used for determining a calibration value of each calibration item and performance data corresponding to the calibration item by taking the calibration item and the calibration value range as constraint conditions and taking the performance set by the virtual whole vehicle as a target; the calibration correction module is used for acquiring calibration values and performance data corresponding to all calibration items of a real vehicle corresponding to the virtual whole vehicle, and performing difference calculation on the calibration values and the performance data corresponding to all the calibration items of the real vehicle and the calibration values and the performance data corresponding to the calibration items determined by calibration of the virtual whole vehicle; and when the calibration difference value or the performance difference value exceeds a set threshold value, modifying the basic function model combination and the performance model combination used in the whole vehicle simulation virtual calibration to perform simulation virtual calibration again until the set threshold value is met.

The application relates to an event-triggered optimal line-of-sight (LOS) formation control method and system for an underactuated unmanned surface vehicle (USV) under unknown disturbance, and relates to the technical field of USV control. The application aims to solve the technical problem of realizing event-triggered optimal control while considering actuator saturation by establishing an RL-driven LOS guidance scheme, so as to achieve optimal state regulation and tracking control. The technical points are as follows: the application establishes an RL-driven LOS guidance scheme, decouples the trigger decision and the actuator allocation, and introduces a new event-triggered mechanism. The overall structure of the ETO-LOS control scheme proposed by the application is as follows: firstly, the expected trajectory and external disturbance are processed in the LOS guidance layer to generate a virtual control signal. Then, optimal control is realized through a DSC and a two-stage IAC network, and then an event-triggered mechanism is constructed in the actuator layer. The ETO-LOS scheme proposed by the application realizes stable learning and closed-loop performance while significantly reducing the control update frequency.

The invention provides a digital clock recovery system and method, and relates to the technical field of digital signal processing. The system comprises an interpolator, a timing error detector, a loop filter and a numerically controlled oscillator which form a feedback loop. Wherein the interpolator is a polynomial interpolator and is used for obtaining an interpolation result or an intermediate value by inquiring a pre-calculation module so as to reduce the operation complexity; a digitally controlled oscillator determines a base point and a fractional interval for interpolation by operating bits on an internal phase accumulator value to avoid division operations. The method comprises the following steps: performing polynomial interpolation by querying a pre-calculation module; detecting a timing error; filtering the error; and updating the timing information by performing a bit operation on the phase accumulator value. By means of the scheme, unification of high precision and low delay is achieved, loop performance is improved, and system resource consumption is reduced.

The invention discloses a new energy vehicle hardware-in-the-loop performance calibration verification system and method based on a real vehicle, and the method comprises the steps: carrying out the virtual calibration of a virtual vehicle model through a virtual calibration platform, and obtaining a dynamic performance calibration value and an economic performance calibration value of the virtual vehicle model; performing real vehicle calibration on the real vehicle through the real vehicle calibration platform to obtain a dynamic performance calibration value and an economic performance calibration value of the real vehicle; when the error between the dynamic performance calibration value of the real vehicle and the dynamic performance calibration value of the virtual vehicle model is not within a first error range, correcting the virtual vehicle model according to the dynamic performance calibration value of the real vehicle; and when the error between the economic performance calibration value of the real vehicle and the economic performance calibration value of the virtual vehicle model is not within a second error range, correcting the virtual vehicle model according to the economic performance calibration value of the real vehicle.

The present invention discloses an adaptive detection method for industrial circuit oscillation under variable working conditions, which belongs to the field of industrial circuit performance evaluation. The method includes: performing adaptive variational modal decomposition on the PV of the industrial circuit; calculating the relative growth rate of the correlation coefficient and selecting important modes; calculating the sparsity index of the important modes and eliminating the noise modes; estimating the upper and lower confidence limits of the regularity index of the remaining modes and judging the possibility of oscillation; calculating the relative error between the oscillation period of the remaining modes and the oscillation period of the SP and eliminating the interference of periodic demand; using the lower confidence limit of the regularity index of the remaining modes to judge and report the specific oscillation situation. The method proposed by the present invention starts from the perspective of circuit oscillation under variable working conditions, can effectively eliminate the interference of non-stationary factors and periodic demand, improve the automation level and accuracy of industrial circuit oscillation detection, and provide a methodological basis for online monitoring and performance evaluation of industrial circuits.

The application provides a tracking control method for a full-drive water surface ship with time-varying control gain, comprising: establishing a full-drive water surface ship system model considering external disturbance; designing a tracking controller combined with time-varying control gain and non-time-varying control gain by using vector backstepping method; analyzing asymptotic tracking performance and practical tracking performance of the tracking controller by using Lyapunov stability theory; analyzing boundedness of control items containing time-varying control gain and control items containing non-time-varying control gain in the tracking controller, and realizing tracking control of the full-drive water surface ship. The application designs a tracking control method containing time-varying control gain based on unknown bounded external disturbance, which is used to realize asymptotic tracking performance of the system and stability of the closed loop system; on the other hand, only by adjusting the value of the time-varying control gain, the asymptotic tracking or practical tracking closed loop performance of the system can be realized.

The invention relates to the technical field of flight control, in particular to a tilting rotor type short-distance vertical take-off and landing aircraft hovering control method and device, and the method comprises the steps: constructing a short-distance vertical take-off and landing aircraft hovering nonlinear kinetic model comprising a tilting rotor power system; the short-distance vertical take-off and landing aircraft hovering nonlinear kinetic model is converted into a high-order all-wheel-drive system model so as to design a state tracking controller; designing an adaptive law based on a neural network, and estimating a nonlinear term in the short-range vertical take-off and landing aircraft hovering nonlinear dynamic model; and feeding back the non-linear term to a state tracking controller so as to perform hovering mode stability control. Therefore, the problems of low decoupling efficiency, low robust control performance and the like of multiple execution mechanisms of the aircraft due to the fact that a suspension control method based on dynamic inverse needs a large amount of linearization processing, the dynamic characteristic difference of the actuators is obvious and the closed-loop performance of the controller needs to be verified through repeated simulation and experiments in the related technology are solved.

The invention relates to the technical field of industrial control performance monitoring and evaluation, in particular to a PID control loop performance monitoring and evaluation method, system and device and a medium. According to the method, basic data such as a measured value, a set value and a valve position value are collected from a distributed control system, auxiliary information such as an operation mode, an alarm value and a preset fluctuation range of a control loop is obtained at the same time, ten performance indexes including the saturation rate, the pulse response time and the steady-state transition time of a controller are calculated based on the data, and the performance of the controller is improved. The indexes describe the operation state of the control loop from different angles of control stability, response characteristics, operation characteristics and the like, then, a preset weight is adopted to perform weighted calculation on each index to obtain a control loop score and a node score, and finally, the performance grades of the control loop and the nodes are determined according to the scores. According to the application, the operation condition of the control loop can be evaluated more comprehensively and objectively, and a reliable basis is provided for identifying a problem loop and optimizing control performance.

The application discloses a phase-locked loop performance optimization method and system based on a sliding average filter, and comprises the following steps: obtaining a relative reference phase change amount in real time through a phase-locked loop based on a sliding average filter; traversing each time, and predicting a power grid fundamental frequency positive sequence phase jump amount at a current traversal time according to the relative reference phase change amount at the current traversal time and the relative reference phase change amount at a first time before the current traversal time; in a time period after a response delay of the filter in a fault and a time period after the filter is removed from the fault and the system restores to a steady state, analyzing a phase compensation amount at each time according to the relative reference phase change amount and the power grid fundamental frequency positive sequence phase jump amount at each time, and compensating the phase of an output signal of the filter by using all the phase compensation amounts. The application considers the response delay of the filter in the case that the fault causes the power grid phase jump, so as to alleviate the problems of phase-locked loop disconnection and slow phase-locked speed.

The objective is to provide a slot machine that has been improved in terms of changing the probability of winning special roles by controlling the game state to multiple types of game states with different settable betting amounts. [Solution] In the non-internal state (normal 1), it is possible to play the game with a predetermined bet of 3. However, after the end of the BB1 ​​state, it is possible to play the game with a predetermined bet of 2, which is different from the non-internal state (normal 1), and the game is controlled to the non-internal state (normal 2), in which the special role (RB2) is won with a higher probability than in the non-internal state (normal 1). The performance control unit 151 then starts the BB loop performance after the execution of the BB winning performance, and then transitions to the RB2 state via the non-internal state (normal 2) after the end of the BB1 ​​state, and continues to execute the BB loop performance for the period until this RB2 state ends.

The invention discloses a composite coordination control system and method for new energy power generation, and relates to the technical field of power system control. The system comprises a multi-source heterogeneous data perception and fusion module, a multi-time scale collaborative optimization decision module, a self-adaptive hierarchical control instruction distribution and reconstruction module, a local quick response and virtual inertia simulation execution module and a closed-loop performance evaluation and parameter self-tuning module. The method comprises the following steps: collecting and fusing data to generate a data set; collaborative optimization calculation is executed, and a control instruction set is generated; dynamically selecting an instruction distribution strategy, and distributing an instruction; the control algorithm quickly responds to a power instruction and simulates and provides inertia support and damping characteristics; and continuously monitoring the actual response of the system, and adjusting key control parameters. According to the method, the dynamic stability and the adjustment precision of the system can be improved, the problem that the anti-disturbance capability of a high-proportion new energy power grid is reduced is solved, and the utilization efficiency of adjustable resources and the overall operation economy of the system are greatly improved.

The utility model discloses a servo motor variable inertia test platform, which comprises a platform substrate, a test shaft, a support vertical plate, a disc placing sleeve, an inertia flywheel and a full-speed encoder, the test shaft is supported by the support vertical plate, one end tail of the test shaft is connected with a servo motor to be tested, the other end tail of the test shaft is connected with the full-speed encoder, and the test shaft comprises a small-diameter shaft section, a large-diameter shaft section and a connecting disc. The small-diameter shaft section can be sleeved with the disc containing sleeve in a relatively rotating mode, the connecting disc is located on the large-diameter shaft section, and a loaded inertia flywheel slides to the large-diameter shaft section from the disc containing sleeve and is connected to the connecting disc in series; according to the test platform, the inertia flywheel capable of being loaded in a sliding mode is preset through the disc placing sleeve, loading configuration can be rapidly carried out according to different inertia load matching values, the test efficiency is improved, the operation difficulty is reduced, and the inertia test precision of the servo motor after loading adjustment is guaranteed; and the full-speed encoder is matched with the encoder of the servo motor, so that the closed-loop performance test of the output performance of the servo motor is realized, and the control precision is improved.

The invention discloses a closed-loop simulation test method for an automatic driving algorithm, and relates to the technical field of automatic driving test. The method comprises the following steps: obtaining each to-be-measured algorithm module corresponding to a to-be-measured automatic driving algorithm; for each to-be-measured algorithm module, determining a module type corresponding to the to-be-measured algorithm module, and closing a functional module corresponding to the module type in a preset closed-loop simulation test system; accessing the to-be-measured algorithm module to the position of a functional module corresponding to the module type in a preset closed-loop simulation test system, acquiring input data through a data bus of the preset closed-loop simulation test system, and outputting output data through the data bus of the preset closed-loop simulation test system; according to the simulation test state of each to-be-measured algorithm module in the preset closed-loop simulation test system, the simulation test performance of each to-be-measured algorithm module is evaluated, the closed-loop performance test of one or more to-be-measured algorithm modules under a complete automatic driving framework can be realized, and the parallel development and test efficiency of an automatic driving algorithm is improved.

The application relates to the technical field of network games, in particular to an NPC self-loop performance-based control method and system, an electronic device and a computer program product. The NPC self-loop performance-based control method comprises the following steps: obtaining standard behavior parameters matched with a current target role; reading a first control instruction associated with the current target role in a current environment according to the standard behavior parameters; forming initial image data according to the first control instruction and first collection parameters; obtaining second collection parameters within a control duration effective range; obtaining associated instructions matched with the second collection parameters according to the second collection parameters; executing associated behavior matched with the associated instructions or playing associated animation matched with the associated instructions; and updating the standard behavior parameter table according to the associated behavior when the monitoring duration ends and the associated behavior is not completed or the associated animation is not completed.

The invention belongs to the technical field of industrial automation control, and relates to an APC control method and system based on a multivariable coupling LNG device, the system realizes real-time process parameter acquisition of three processes through a data acquisition and secure transmission module, and the process parameters are securely transmitted to an APC server through an OPC Server; the PID loop management and optimization module is used for accurately analyzing loop performance, dynamically modeling and optimizing PID parameters, so that the control precision and the loop stability are improved; the multivariable prediction and cross-process coordination control module implements multivariable prediction control, optimizes operation variables of each process and enhances the response speed of the whole system; the soft instrument calculation module improves the control precision through dynamic correction; the unified operation interface optimization module enhances the working efficiency and the management level of operators by improving the visualization effect. The control precision, the processing capacity and the operation efficiency of the LNG device can be effectively improved, and the stability and the production benefits of the device are remarkably improved.

This application discloses a method, apparatus, device, and storage medium for determining the performance of a secondary circuit, relating to the field of power technology. The method includes: acquiring electrical quantity data of the current secondary circuit and switching quantity data of each secondary device in the current secondary circuit; identifying fault timing in the current secondary circuit based on the electrical quantity data and switching quantity data to obtain key time nodes; using the key time nodes as timing benchmarks, performing feature analysis on fault recording data characterizing the primary devices connected to the current secondary circuit and response event data characterizing the current secondary circuit's response to the faults of the primary devices to obtain fault behavior characteristics; and analyzing the performance status of the current secondary circuit based on the fault behavior characteristics to obtain response performance indicators. This application, by constructing key time nodes for fault timing as timing benchmarks, reduces misjudgments and omissions caused by disconnections, thus improving the accuracy of secondary circuit performance analysis.

The invention relates to the technical field of engineering machinery electric control, discloses a cooperative control method for a multifunctional electric control system of a loading machine, and aims to solve the problems of information island, asynchronous control, action jittering and low energy efficiency of an electric control system of a traditional loading machine. The method comprises the following steps: constructing a multi-source working condition information fusion sensing layer, collecting engine, hydraulic pressure, transmission and vehicle body state data in real time, and inputting the data into a central cooperative controller; establishing a collaborative decision model based on task driving, and dynamically generating hydraulic flow distribution, a gearbox gear, an engine rotating speed and a braking response threshold value; synchronously issuing a control instruction through a high-speed bus to ensure that the time sequence deviation of each subsystem is less than 0.5 millisecond; nonlinear coupling relation online decoupling compensation is implemented, action jitter is suppressed, and energy matching is optimized; and closed-loop performance evaluation and neural network adaptive optimization are completed. According to the technical scheme, the working efficiency, the operation smoothness, the energy utilization rate and the system safety can be remarkably improved.

The invention provides an all-drive water surface ship tracking control method with time-varying control gain. The method comprises the following steps: establishing an all-drive water surface ship system model considering external interference; designing a time-varying control gain and non-time-varying control gain combined tracking controller by using a vector backstepping method; analyzing the asymptotic tracking performance and the practical tracking performance of the tracking controller by adopting a Lyapunov stability theory; and analyzing the boundaries of a control item containing a time-varying control gain and a control item containing a non-time-varying control gain in the tracking controller to realize the tracking control of the all-drive water surface ship. On one hand, a tracking control method comprising time-varying control gain is designed based on unknown bounded external interference, and is used for realizing the asymptotic tracking performance of the system and the stability of a closed-loop system; and on the other hand, the closed-loop performance of asymptotic tracking or practical tracking of the system can be realized only by adjusting the value of the time-varying control gain.

The application provides a PID loop performance rating and diagnosis method based on fluctuation coefficient of variation, which is used to solve the problem of PID control loop performance decline and parameter re-tuning in industrial production. The method collects process variable (PV), set value (SV), controller output (MV) and mode point (MODE) data through DCS system, and calculates core performance indexes such as fluctuation coefficient of variation (CV), relative performance index (RPI) and autocorrelation coefficient after data preprocessing. The fluctuation coefficient of variation CV is a dimensionless quantity, which can effectively quantify the data volatility and overcome the limitations of traditional evaluation methods in multi-dimensional scenarios. The system rates the loop according to these indexes, which is divided into four levels: excellent, good, general and poor, and provides fault diagnosis and optimization suggestions for the general or poor loop. The method also includes establishing a loop rating history library to track the optimization effect. The application improves the real-time performance evaluation accuracy and diagnosis efficiency of the PID loop, and is suitable for the field of industrial automation control.

The application discloses a high-speed fan performance test system and method based on magnetic coupling transmission, transmits first test data and second test data to an upper computer, pre-processes according to preset parameters, generates standardized first performance characteristic set and second performance characteristic set, calculates initial performance parameters according to the first performance characteristic set and the second performance characteristic set, obtains first deviation coefficients and second deviation coefficients, generates a target performance parameter set, outputs the target performance parameter set to a curve fitting module, generates at least one fan characteristic curve representing the high-speed fan under the magnetic coupling transmission working condition, splices the fan characteristic curve, and obtains a target derived characteristic curve graph for evaluating the high-speed fan performance. The high-speed fan performance test method and system based on magnetic coupling transmission construct a complete and closed-loop performance evaluation process, and effectively avoid the driving side data distortion problem caused by magnetic coupling slip.

The invention provides a powder flow precise control and real-time adjustment method for quantitative powder packaging, which comprises the following steps of: identifying dynamic model parameters of an actuating mechanism by utilizing a recursive augmented least square method through periodically injecting lightweight excitation signals and accurately collecting input and output time sequence data; a preset nonlinear rule mapping relation is combined to automatically convert into an optimal PID control parameter, and exponential weighted average is adopted to realize smooth transition of the parameter, so that system disturbance is avoided; according to the method, the characteristic change of an executing mechanism can be matched in real time, and the powder flow adjusting precision and the system robustness are improved.

The invention discloses an emergency power supply self-evolution droop multi-scale power adaptive adjustment system and method, and relates to the technical field of intelligent emergency power supply control. The system comprises a frequency power droop characteristic modeling subsystem, a frequency sensing power instruction generation subsystem and an adaptive adjustment execution and optimization subsystem. A nonlinear droop relation model between active power and system frequency is established, the system frequency is acquired, an active power instruction is dynamically generated, and an inverter is driven to realize power regulation. According to the invention, autonomous cooperative control of the emergency power supply in an island or micro-grid mode is realized, multi-machine parallel power balance and circulation suppression are supported, multi-time scale response, dynamic parameter self-tuning and closed-loop performance self-optimization capabilities are provided, and system stability, reliability and power supply toughness are significantly improved.

The utility model relates to a fluid-driven performance testing device for a detector in a pipeline, which comprises an open-loop performance testing pipe group, a closed-loop performance testing pipe group and a fluid circulation driving mechanism, and the fluid circulation driving mechanism comprises a first thermal insulation fluid storage tank and a second thermal insulation fluid storage tank. The two heat preservation fluid storage tanks are connected with the pump set and the pump selection valve through a public fluid supply pipeline and connected with a public backflow body pipeline. The downstream of the pump set is connected with a public pump fluid pipeline, the public pump fluid pipeline is connected with two public pipelines, a T-shaped pipe and a closed-loop circulating pipe through a pumping gate valve, and a public backflow body pipeline is connected with the two public pipelines, the T-shaped pipe and the closed-loop circulating pipe through a backwater gate valve; each public pipeline and the closed-loop circulating pipe are independently connected with the closed-loop pipeline through a plurality of closed-loop circulating valves, and each public pipeline is connected with one end of the open-loop pipeline through a plurality of open-loop circulating valves; and the other end of each section of open-loop pipeline is connected with a T-shaped pipe through a branch provided with an open-loop circulating valve.

This application discloses a method, device, medium, and product for optimizing the performance of a PI control loop in an industrial process, relating to the field of industrial automatic control technology. The method includes initializing the initial parameters of a deep reinforcement learning agent and a PI controller; generating setpoints for the industrial process based on a continuous smooth curve; acquiring the process variables of the current control cycle; calculating the tracking error and error rate of change based on the setpoints; outputting a reference adjustment amount for the PI controller parameters through a policy network; trimming the reference adjustment amount; updating the proportional gain and integral gain of the PI controller based on the trimmed reference adjustment amount; calculating the immediate reward of a composite reward function based on the tracking error and error rate of change; dynamically and adaptively adjusting the weight coefficients in the composite reward function; updating the evaluation network and policy network of the deep reinforcement learning agent; and outputting the optimized PI controller parameters. This application improves the smoothness and safety of the control process.

A phase-locked loop circuit, a phase-locking method, and a frequency synthesizer are provided. The phase-locked loop circuit employs phase-rolling clock signal generator component to perform integer frequency division on multiple oscillation clock signals with uniformly varying phases to obtain multiple feedback clock signals with uniformly varying phases; and according to a preset clock cycle, select feedback clock signals with corresponding phase sequences from the multiple feedback clock signals with uniformly varying phases for concatenation, thereby generating the phase-rolling clock signal. This architecture enables fractional-N frequency division phase-locked loop operation. Compared with conventional fractional-N frequency division phase-locked loop implementations using sigma-delta modulator (SDM) circuits, the proposed solution reduces circuit area and power consumption while improving phase-locked loop performance.

The invention provides a transmission system PID control stability optimization method based on a characteristic root locus, and relates to the technical field of transmission system torsional vibration control, and the method comprises the steps: obtaining a physical structure of a transmission system, enabling the physical structure to be equivalent to a two-inertia torsional vibration model, calculating the current zero pole distribution, and judging the system stability according to the current zero pole distribution. The method comprises the following steps: selecting a dominant pole, analyzing the damping ratio of the dominant pole, judging the damping ratio of the related dominant pole, adjusting an integral coefficient and a proportionality coefficient according to a judgment result, carrying out a closed-loop performance test on the adjusted PID controller, and realizing optimization based on a test result. The method breaks through the empirical limitation of a traditional cut-and-try method, achieves the precise quantification of the parameters on the vibration characteristics, can evaluate the system stability in advance, greatly improves the debugging efficiency, solves the problem of local optimization caused by parameter coupling through a proposed optimization strategy system, and improves the reliability of the system. And the transmission system has the comprehensive performance of quick response, high stability and accurate control at the same time.

The present application relates to a magnetic suspension control loop performance evaluation method and device based on time-varying fractal analysis, the method comprising the following steps: obtaining suspension point information of a magnetic levitation train suspension module, for the suspension point information, based on time-varying fractal analysis, obtaining a time-varying generalized Hurst index estimation value based on a window function matched with a preset index; according to the time-varying generalized Hurst index estimation value of multiple suspension points collected within a period of time, obtaining a comprehensive generalized Hurst index of each suspension point; and according to the comprehensive generalized Hurst index corresponding to each suspension point, obtaining a performance comparison result of a control loop. Compared with the prior art, the present application avoids the great difficulty brought by the establishment of an accurate mathematical model, and can evaluate the loop performance from the horizontal and vertical directions.