33 results about "Fault tolerant control system" patented technology

The invention relates to the technical field of elevator control and fault diagnosis, and discloses an elevator inverter fault pre-diagnosis and fault-tolerant control system and method based on digital twinning, and the system comprises a high-fidelity digital twinning body building module which is used for building a digital twinning body of an elevator inverter, the digital twin integrates an electric-thermal-stress coupling model, a device-level aging model, a parasitic parameter influence model and a driving circuit and protection logic model; wherein the electric-thermal-stress coupling model is used for simulating loss, junction temperature fluctuation and thermal stress circulation of a power device, and the device-level aging model is used for representing a time-varying degradation rule of device parameters. Through deep fusion of a digital twin technology, fault diagnosis and fault-tolerant control, a closed-loop system of'perception-pre-diagnosis-decision-control 'is constructed, the safety, reliability and economical efficiency of the elevator inverter are comprehensively improved, and the method has important significance in promoting transformation of the elevator industry to intelligent and unmanned maintenance.

Disclosed are an online fault identification method for a current sensor, a diagnosis apparatus, and a fault-tolerant control system, relating to the technical field of diagnosis of faults of current sensors. The method includes defining a fault of the current sensor, and setting a corresponding label; then simulating a motor drive system, so as to obtain operation data in a normal mode and a fault mode, and making a data set; designing a neural network, and performing optimization processing on the neural network through the data set, so as to obtain an intelligent diagnosis model; and finally deploying the intelligent diagnosis model in an edge apparatus, so as to perform real-time online diagnosis on the fault of the current sensor; where the fault of the current sensor includes a saturation fault and a noise fault.

The invention discloses an open-phase self-fault-tolerant control method for a phase-shift-free dual three-phase permanent magnet synchronous motor. The method can automatically adjust a current distribution relation in the case of an open-phase fault and suppress torque pulsation in combination with neutral point voltage compensation. Comprising the following steps: driving two pairs of three-phase winding modules of the phase-shift-free DTP-PMSM in parallel by adopting two two-level three-phase voltage source inverters, and providing a mathematical model of the motor; current distribution is automatically adjusted; compensating the voltage of the neutral point, and calculating the offset of the fault module; the current is redistributed to suppress the torque ripple after the fault, and the secondary oblique wave component generated by the phase failure fault is eliminated; a current loop controller is improved through dead-beat predictive control; the speed ring controller is optimally designed into an improved sliding mode controller; an improved double-loop controller system is formed by combining improved sliding mode control and dead-beat prediction control, high-gain parameters are set to improve the dynamic response performance of the system, and a new self-fault-tolerant control system is formed.

The invention provides a DC Buck converter voltage and current sensor fault-tolerant control system, which comprises the following steps: establishing a time-varying state space model of a DC Buck converter, and dynamically reconstructing a parameter matrix by the time-varying state space model according to the real-time change of a duty ratio; the time-varying augmentation fault estimator is used for monitoring faults of a voltage sensor and a current sensor in real time, the fault estimator is implemented through a model reference adaptive filter, a Buck converter is adopted to construct a reference model in a healthy state, and efficient real-time diagnosis and correction can be achieved through the faults of the voltage sensor and the current sensor of the Buck converter. And various types of sensor faults such as a jump fault, an offset fault, a stuck fault, a high-frequency fault and a gap fault can be effectively estimated. For measurement distortion of the voltage sensor and the current sensor, the fault estimator can provide comprehensive evaluation information of fault types and fault severity.

The invention discloses a nonlinear PID control method based on intelligent element driving and a fault-tolerant control system thereof, and belongs to the technical field of intelligent control. According to the method, three behavior mapping mechanisms of punishment, memory and prediction are introduced, a traditional PID controller structure is expanded, a compound error signal is constructed, and a dual-channel control strategy of instinct response and learning response is designed. The controller provided by the invention has adaptive gain adjustment capability, a dynamic adjustment law is constructed in combination with a Lyapunov stability theory, and robust control without model information is realized. Meanwhile, a fault-tolerant mechanism is provided for correcting control signal input by considering the situation of performance degradation of an actual actuator, so that the stability and tracking precision of a control system under non-ideal conditions are improved. The control method is suitable for complex nonlinear object control scenes such as underwater robots, mobile robots and parallel Delta robots.

The invention discloses a non-linear non-strict feedback multi-agent system fixed time fault-tolerant control system, and belongs to the technical field of agent system cooperative control. Comprising a multi-agent system model, a coordinate transformation and command filtering module, an error compensation signal module, a backstepping recursion module, a neural network module, an adaptive law module and an adaptive fault-tolerant controller module. The method is used for compensating the influence of sensor faults on system consistency and ensuring that the system converges within fixed time, so that when the system has sensor deviation, gain and other faults, the system can still realize output consistent tracking within a predetermined time upper limit irrelevant to an initial state, the reliability and safety of the system are remarkably improved, and the system reliability and safety are improved. The technical problems of state feedback information distortion and system cooperation precision and stability reduction caused by sensor faults of the intelligent agent in the prior art are solved.

The invention relates to a hybrid eVTOL energy optimization management and fault-tolerant control system. The hybrid eVTOL energy optimization management and fault-tolerant control system comprises a data sensing layer, an upper macroscopic decision-making layer, a lower rule implementation layer, a fault-tolerant control layer and a final actuator layer. The data sensing layer preprocesses sensor data; the upper macroscopic decision-making layer and the lower rule implementation layer are used for realizing energy optimization management based on sensor data; the fault-tolerant control layer affects the decision-making layer to realize fault-tolerant control through fault diagnosis and fault-tolerant arbitration; and finally, the control instruction is sent to the actuator layer. The system aims at achieving optimal and reliable energy control of a hybrid power system under the complex flight working condition, improving the dynamic response speed and the multi-target optimization capacity of an energy management system, enhancing the survivability of the system under key component faults and ensuring manned safety, is particularly important for manned eVTOL, and has wide application prospects.

The application provides a model prediction-based grid-connected converter fault-tolerant control system and method, and belongs to the technical field of converter control, and comprises the following steps: determining a fault device in a fault phase of a grid-connected converter based on measured grid-connected converter alternating current side current and PCC point current; after confirming that a power device fault occurs in a bridge arm of a certain phase of the grid-connected converter, a direct current side capacitor sharing type fault-tolerant control algorithm is put into operation, and the gate signals of all power devices of the fault bridge arm are blocked, and the direct current side capacitor replaces the fault bridge arm to support the controllable operation of the converter.

Fault-tolerant control system that includes: a process control system workstation that is effectively connected to a first network; a fault-tolerant safety controller that is effectively connected to a second network; an interface between the process control workstation and the fault-tolerant safety controller, wherein the interface includes: a process control module that is effectively connected to the first network; a security control module that is effectively connected to a second network; and a field device system integration module for communicating safety information from the safety control module to the process control module; wherein the process control module, the safety control module and the field device system integration module are arranged together on a network interface card, characterized in that the fault-tolerant control system further comprises a three-port switch arranged on the network interface card, wherein the three-port switch is configured to communicate with the safety control module and the field device system integration module via a selected connection between them, wherein the selected connection maintains a functional and physical separation between the first network and the second network.

The application discloses a predefined time fault-tolerant control method for a rigid spacecraft system and relates to the technical field of aerospace flight control, and comprises the following steps: S1, a kinematics and dynamics model of a fault-tolerant control system of a rigid spacecraft attitude tracking error is established, and system states and control parameters are initialized; S2, a non-singular predefined time sliding mode surface is designed based on an attitude error tracking control system of the rigid spacecraft; and S3, a non-singular adaptive fault-tolerant predefined time controller is designed. The application designs a predefined time preset performance function and a non-singular adaptive fault-tolerant predefined time control method, effectively solves a potential chattering problem in a controller design process, guarantees the steady-state performance and state constraints of the attitude tracking error and guarantees the predefined time convergence of the system in the case that the controller fault, inertia uncertainty and external disturbance exist simultaneously.

This invention discloses a learning-based fault-tolerant control method and system for quantifiable performance of nonlinear systems, belonging to the field of automatic control technology. The method designs a learning-based fault-tolerant control algorithm that embeds an RBF network to compensate for fault dynamics when a fault occurs. Based on deterministic learning theory, an RBF network is constructed by setting neurons along a desired reference trajectory. Secondly, by analyzing the convergence characteristics of the learning-tolerant control system through sampled data, a detailed quantitative analysis of the learning accuracy and learning speed of the proposed learning-based fault-tolerant control method is performed, and calculation formulas for learning accuracy and learning speed are given. This invention establishes quantitative expressions for learning speed and learning accuracy through theoretical derivation, realizing quantitative analysis and pre-setting of fault-tolerant control performance, and achieving quantitative controllability of learning speed and approximation accuracy while ensuring the closed-loop stability of the system.

The invention relates to the technical field of aircraft autopilot and fault-tolerant control, in particular to a small aircraft autopilot error-tolerant control system which comprises a state and fault joint estimation module used for obtaining a sensor measurement value and a final actuator instruction vector at the previous moment, generating a flight state estimation value at the current moment and sending the flight state estimation value to a fault-tolerant control module; estimating estimation values of a covariance matrix and a health parameter vector by a state; the control efficiency real-time evaluation module is used for generating a real-time effective control distribution matrix and a control distribution effectiveness index; the collaborative optimization decision module is used for solving the optimized executor instruction vector and the updated Kalman filter process noise covariance matrix; the actuator instruction interface and safety verification module is used for feeding back the final actuator instruction vector to the state and fault joint estimation module and the collaborative optimization decision module; according to the system, smooth self-adaptive fault tolerance of progressive faults is realized, and the flight stability is improved.

The invention relates to the technical field of mobile robot control, in particular to an intelligent power plant inspection robot sensor fault tolerance control system, which is characterized in that a motion model construction module constructs a motion model; the disturbance observer design module defines an observation error and designs a disturbance observer, and the disturbance observer performs feedback adjustment by combining the observation error on the basis of the motion model; the augmentation modeling and self-adaptive sensor fault observation module is used for constructing an augmentation system model; designing an adaptive sensor fault observer based on the augmented system model; by means of an adaptive law, continuously optimizing the compensation amount for the interference observation error, and automatically counteracting the error generated in the interference estimation process; the fault-tolerant controller design module defines a tracking error between an actual track and an expected inspection track of the robot, designs a generalized sliding mode surface and a control law, and accelerates convergence of the sliding mode surface and reduces buffeting in combination with an exponential reaching law and a variable-speed reaching law.

The application relates to a fault-tolerant control system and method for improving the driving safety of a heavy multi-axle steering vehicle, which comprises a fault diagnosis module for receiving wheel angle information of the vehicle output and judging whether the steering wheel is stuck; an upper control module for calculating additional lateral force and additional yaw moment required for maintaining the stability of the vehicle by using an adaptive sliding mode control algorithm when the steering wheel is stuck; a lower control module for optimizing the distribution of tire lateral force of non-fault wheels according to the additional force and moment obtained by the upper control module; and a fault-tolerant control module for solving a fault-tolerant feasible region of tire force after the fault occurs, judging whether the optimized tire lateral force is within the range of the fault-tolerant feasible region, and selecting the optimal fault-tolerant controller for different failure modes to perform fault-tolerant control on the fault vehicle according to the judgment result. The system and method are favorable for improving the trajectory tracking accuracy and yaw stability of the heavy multi-axle vehicle when the steering wheel is stuck.

The invention discloses a multi-heater cooperative and hierarchical fault-tolerant control system and method, and the system comprises a sensor unit which is used for collecting an outlet water temperature signal and a flow signal; the actuator unit comprises at least two paths of heaters capable of independently performing power modulation; the main control unit is in communication connection with the sensor unit and the actuator unit, collects and verifies signals of the sensor unit, and performs data validity judgment; on the basis of the data validity judgment result, a partition self-adaptive control strategy is adopted to calculate the total power requirement, short-term trend prediction is conducted on the temperature data in the short time period, and feed-forward compensation or a back-to-conservative strategy is selectively applied according to the prediction validity judgment result; distributing the total power demand to each path of heater, wherein the distribution is based on an efficiency priority principle and a service life balance principle at the same time; according to the system, the response speed and the steady state are improved, overshoot energy consumption is reduced through feedforward, service life balance is improved, and safety and controllability are achieved.

The invention discloses a sensor signal active fault-tolerant control system for a strong electromagnetic pulse environment, and belongs to the technical field of digital control fault tolerance. The system comprises a preprocessing module, a signal identification module, a pseudo-clustering separation module and a signal reconstruction module which are connected in sequence. The preprocessing module is used for performing FIR low-pass filtering on the original sensor signal; the signal identification module generates an abnormal sign through sliding window difference and energy abrupt change monitoring; the pseudo-clustering separation module performs pseudo-clustering on the continuous abnormal marks through a finite-state machine, and outputs interference section masks; and the signal reconstruction module carries out signal reconstruction on the interference section by adopting a local autoregression prediction model based on the mask. According to the scheme, a sensor signal distorted due to strong electromagnetic pulse interference can be efficiently recognized and reconstructed in real time, the reliability and robustness of an aero-engine and other digital control systems in a complex electromagnetic environment are remarkably improved, and the method is particularly suitable for FPGA platform implementation.

The invention discloses an electric vehicle PMSM active fault-tolerant control method based on multi-boundary constraint prediction, which is applied to an electric vehicle PMSM active fault-tolerant control system, and comprises the following steps: a data acquisition unit acquires operation data at a preset sampling rate by using a sensor array; the operation data comprises three-phase current, direct-current bus current and bus voltage of the inverter, temperature of a stator winding in the permanent magnet synchronous motor and a rotary transformer signal of a motor shaft; the main control decision-making unit constructs a multi-dimensional safety boundary model according to the operation data, and further predicts an overcurrent risk by using a three-phase current, predicts an over-temperature risk and a demagnetization risk by using a temperature of a stator winding, predicts a sensor failure risk by using a rotary transformer signal, and predicts a short-circuit risk according to the three-phase current and a DC bus current; and the main control decision-making unit carries out active fault-tolerant control according to different predicted risks. According to the invention, by constructing the multi-dimensional safety boundary model, early comprehensive risk prediction can be carried out before a fault occurs.

The invention discloses a phase sequence fault-tolerant control system and method with overvoltage and undervoltage protection. The phase sequence fault-tolerant control system with overvoltage and undervoltage protection comprises a voltage sampling module, a control module and an execution module. The voltage sampling module collects a first phase power supply voltage, a second phase power supply voltage and a third phase power supply voltage of a three-phase compressor power supply line. The control module obtains a first-phase power supply voltage group, a second-phase power supply voltage group and a third-phase power supply voltage group containing at least one piece of voltage cycle data according to the first-phase power supply voltage, the second-phase power supply voltage and the third-phase power supply voltage, and accordingly judges whether overvoltage and undervoltage and / or phase sequence errors occur in the three-phase compressor or not; the execution module comprises a three-phase alternating current contactor and a four-pole alternating current contactor, if the control module judges that the three-phase compressor is over-voltage and under-voltage, the control module controls the three-phase alternating current contactor to cut off a power supply of the three-phase compressor, and if the control module judges that the three-phase compressor is in phase sequence error, the control module controls the four-pole alternating current contactor to dynamically switch the phase sequence.

The invention discloses a permanent magnet synchronous motor broken tooth fault diagnosis and fault-tolerant control system based on multi-source signals in the technical field of automatic control and adjustment. The system comprises a multi-source signal acquisition module, a fault diagnosis module, a disturbance estimation module and a fault-tolerant control law module. The multi-source signal acquisition module acquires a real-time operation signal; the fault diagnosis module processes the real-time operation signal and extracts a fault feature signal, and the fault diagnosis module adopts a coupling broken tooth fault model to calculate the fault feature signal; the disturbance estimation module obtains an estimated value of total disturbance based on the fault characteristic signal; the fault-tolerant control law module generates a permanent magnet synchronous motor system control instruction based on the estimated value of the total disturbance; according to the method, an FMAESO fault-tolerant control strategy is provided, disturbance and specific faults are subjected to integrated estimation and compensation, and an independent diagnosis unit is not needed; the stability and the control precision of the motor in wide speed range operation are improved, the robustness is high, and the system development period is shortened.

The invention provides a fault-tolerant control system and method for a multiphase permanent magnet synchronous motor, relates to the technical field of motor control, and solves the limitation of the prior art on reliability, fault-tolerant performance and algorithm complexity. A fault confidence coefficient index is generated by fusing static and dynamic characteristics of the current, an active and robust fault diagnosis closed loop is constructed, and the reliability of a real working condition is improved; the method is not suitable for compromised degraded operation, but introduces a torque ripple suppression factor to optimize a current instruction, and combines a dynamic zero-sequence voltage component injection technology to maximize a bus voltage utilization rate, thereby ensuring high operation quality of all working conditions after a fault; the self-adaptive bandwidth harmonic suppression controller is adopted, the resonance bandwidth is adjusted on line through a lightweight bandwidth broadening factor, the calculation burden is remarkably reduced, and excellent engineering adaptability is shown by means of adjustable parameters.

The invention discloses an automatic throttling system pressure sensor fault detection and fault-tolerant control system, which belongs to the technical field of oil and gas drilling automatic control, and comprises a pressure acquisition unit, an MSSDAE-RBiLSTM prediction module, an SPRT fault detection module, an ADRPID control module and a distributed control unit. The modules are in communication connection, the pressure acquisition unit acquires drilling mud inlet pressure data, the MSSDAE-RBiLSTM module inputs set pressure equivalence to output a pressure predicted value after training based on a field real sample, the SPRT module calculates a residual error between the predicted value and a measured value, a log-likelihood ratio threshold value is compared to judge a fault, and the fault is sent to the MSSDAE-RBiLSTM module. And the distributed control unit switches control input according to a fault result to realize fault-tolerant control. According to the system, the pressure prediction stability is improved, rapid fault response is achieved, pressure stability is guaranteed, extra hardware redundancy is not needed, and the problem that a traditional method is insufficient in adaptability to complex drilling working conditions is solved.

The invention relates to a vehicle distributed driving fault-tolerant control system and method based on safety certification, four motor controllers are adopted, and one motor controller controls one hub motor, so that driving of the four motors in a parallel scheme is realized, the power of the driving motors can be reduced, the line loss can be reduced, and the service life of the motors is prolonged. When a single motor or even two motors of the vehicle break down, it can be ensured that the vehicle breaks down in dangerous areas such as vital communication lines, and accidents and traffic jam risks are reduced. Meanwhile, through coordination and cooperation of a whole vehicle controller and a main motor controller, the whole vehicle controller carries out real-time speed adjustment control on each motor according to data obtained by an information collector, and the main motor controller converts acceleration and steering instructions into target rotating speed instructions of four wheels; and the signal is output to the corresponding motor controller for execution through the bus, so that the driving comfort is remarkably improved, and the dependence on the driving skill of a driver is reduced.

The invention discloses a power switch short-circuit fault-tolerant control system suitable for an STC converter, and the system comprises an STC power main topology with redundant cells and power cells, a drive circuit, an SCF detection circuit, and a digital controller, and aims at solving the technical problem that there is no effective detection, isolation, and compensation method for a power switch short-circuit fault of a modularized STC converter. The invention provides a fault-tolerant control system. An SCF detection circuit detects a fault by judging whether the midpoint voltage of each cellular bridge arm in an STC power main topology jumps normally or not; and the digital controller adjusts the working state of each cell according to the fault detection result, so that the fault cell is separated from the system, and the redundant cell is started to replace the fault cell to work. According to the fault-tolerant control system provided by the invention, the power supply function of the modular STC converter can be recovered after the short-circuit fault of the power switch occurs under the condition of not adding additional devices, and the reliability of a power supply system is improved.

The invention discloses a control method of a vehicle accelerator pedal fault-tolerant control system. The fault-tolerant control system comprises a first-path sensor signal and a second-path sensor. According to the control method, sensor signals are obtained in real time, fault diagnosis is carried out, and a stroke strategy is output; performing consistency fault judgment through a preset multiple relation and a preset error range; fault-tolerant output logic is adopted, including stroke percentage conversion, stroke percentage minimum value and stroke percentage maximum value determination, and a final output stroke is obtained through a weighted fusion formula based on stroke intervals. By the adoption of the technical scheme, the optimal balance between safety and drivability is achieved, and smooth transition driving experience is provided; diagnosis and fault tolerance are closely combined, and the system robustness is extremely high; and finally, the driving experience is improved through smooth processing of the output travel.

This invention provides a fault-tolerant control system and method for a magnetic levitation motor based on virtual sensing technology, relating to the field of magnetic levitation motor technology. The system includes a magnetic levitation motor body, a turbine expander, a measurement and monitoring unit, a power amplification and power supply unit, and a digital controller. The digital controller receives multi-source signals synchronously acquired by the measurement and monitoring unit to obtain the physical measured displacement of the rotor. It performs a mechanism-data dual-drive composite aerodynamic disturbance estimation for the magnetic levitation motor to obtain the aerodynamic compensation force and calculate the virtual displacement of the magnetic levitation rotor. It performs orthogonal reconstruction of the physical measured displacement and the virtual displacement to obtain the reconstructed displacement feedback signal for the digital controller to control the rotor. The digital controller calculates the basic feedback control quantity based on the closed-loop error according to the reference levitation control law. The digital controller reassembles the feedback source, aerodynamic compensation force, and control parameters of the basic feedback control quantity online to form the final control output.

The invention provides a dual three-phase motor fault-tolerant control system and a switching control method thereof. The dual three-phase motor fault-tolerant control system comprises seven motor driver bridge arms and a first bidirectional thyristor, the upper node of the upper bridge arm power switch device and the lower node of the lower bridge arm power switch device of each bridge arm are respectively connected with the positive electrode and the negative electrode of direct current bus voltage, and the lower node of the upper bridge arm power switch device and the upper node of the lower bridge arm power switch device are connected and serve as the output node of the bridge arm; the head ends of A, B and C three-phase windings of the dual three-phase motor are respectively connected to the output nodes of the first bridge arm, the second bridge arm and the third bridge arm; the tail ends of the A-phase winding, the B-phase winding and the C-phase winding are jointly connected to form a neutral point N; the head ends of D, E and F phase windings of the dual three-phase motor are respectively connected to the output nodes of the fourth bridge arm, the fifth bridge arm and the sixth bridge arm, and the tail ends of the D, E and F phase windings are respectively connected to the output nodes of the fifth bridge arm, the sixth bridge arm and the seventh bridge arm; the first bidirectional thyristor SW1 is connected between the neutral point N and the seventh bridge arm.

The invention provides an FPVA fault-tolerant control system design method based on deep reinforcement learning, which is used for designing a fault-tolerant control system of a fully programmable valve array biochip, a fault-tolerant mechanism is introduced in a physical design stage of an FPVA control system, and physical fault tolerance, logic conflict avoidance and resource overhead reduction of a design target are considered in a unified manner. Comprising the following stages; stage 1: designing and controlling the valve layout in the FPVA based on a near-end strategy optimization algorithm PPO; stage 2, generating a fault-tolerant layout architecture; stage 3, controlling channel wiring based on the PPO; according to the invention, a control system architecture with low cost and high fault-tolerant performance can be designed.

The application discloses a kind of dual active bridge DC / DC converter sensor fault detection and fault-tolerant control method, comprising: establishing dual active bridge DC / DC converter mathematical model, design is based on the load feedforward control method of dual active bridge DC / DC converter of current mode modulation;Dual active bridge DC / DC converter sliding mode observer is constructed, and sliding mode observer parameter is set;Dual active bridge DC / DC converter output voltage sensor is detected, and fault-tolerant control system is established, to realize the reliable operation of dual active bridge DC / DC converter.The method of the application overcomes the deficiencies in the prior art, such as poor robustness, difficulty in implementing fault-tolerant control, and the need for additional sensors, ensuring the normal operation of dual active bridge DC / DC converter under output voltage sensor failure conditions.

The invention discloses a self-adaptive grabbing fault-tolerant control system for chemical laboratory automation, and relates to the technical field of laboratory automation control. The system comprises a hardware execution system and an intelligent control system, the hardware execution system is provided with a self-adaptive grabbing tail end module, a multi-degree-of-freedom motion module and a multi-mode sensing module, and the intelligent control system is provided with a self-adaptive grabbing control unit and a fault-tolerant identification and decision-making unit. The multi-mode sensing module collects the characteristics and environment data of a grabbed target, the self-adaptive grabbing control unit dynamically adjusts grabbing parameters and motion parameters according to fused data, and precise self-adaptive grabbing of targets of different materials, sizes and postures is achieved. And the fault-tolerant identification and decision-making unit monitors the operation state in real time, identifies four faults of grabbing, movement, sensor and environment, and executes graded fault-tolerant processing according to grades. According to the method, the adaptability, the fault handling capacity and the operation safety of the grabbing operation of the laboratory are remarkably improved through self-adaptive adjustment and a grading fault-tolerant mechanism.

The invention discloses a packet loss detection-based denial of service attack flow fault-tolerant control system and method, and relates to the technical field of network security, and the method comprises a network packet loss detection control module and a flow priority adjustment module. And the network packet loss detection control module constructs a packet loss detection path meeting a link single coverage condition, ensures that each link only appears in a single path, sends a packet loss detection data packet through the network packet loss detection auxiliary device, and determines an abnormal switch input-output pair according to the packet loss condition. The flow priority adjustment module obtains a data flow set passing through the abnormal switch input-output pair, the forwarding priority is dynamically adjusted through multiple priority adjustment and abnormity verification steps, and the suspicious denial of service attack flow is set to be the lowest forwarding priority until abnormity is eliminated. According to the method, a dynamic priority adjustment mechanism is adopted to limit suspicious traffic without interrupting service, so that attack influence is relieved, misjudgment is reduced, and network toughness is enhanced.