140 results about "Stability criterion" patented technology

The invention provides an MES-based power distribution cabinet quality inspection analysis and process regulation and control method and system, and the method comprises the steps: converting a quality inspection standard into an executable rule, generating a standardized quality inspection template, evaluating the quality of a single project and a batch, monitoring the mean value and fluctuation of a production process based on a statistical process control theory, and calculating a process capability index. A dynamic threshold value formula is combined to adjust a control limit in real time, process stability is evaluated, equipment data is standardized, production batches are associated, data consistency is verified and ensured, graded early warning is performed according to the deviation degree, a machine learning model is combined to realize predictive maintenance, process parameters are dynamically corrected, historical data are analyzed through machine learning, and the process quality is improved. According to the method, high-order feature quantification influence factors are extracted, abnormal parameter combination is detected in combination with an isolated forest, a process strategy library is updated, closed-loop optimization is formed, full-process automation from data acquisition, real-time analysis and parameter adaptive adjustment to predictive maintenance is realized, and quality inspection efficiency and process stability are improved.

The invention discloses a stability analysis method of a network tracking / constructing hybrid station based on an impedance model, and relates to a modeling and stability evaluation technology of a wind power plant grid-connected system. The method comprises the following steps: firstly, respectively establishing sequence impedance models of a following network type direct-driven fan and a construction network type direct-driven fan based on a harmonic linearization method, and verifying the accuracy of the established models in different frequency bands by combining an impedance sweep frequency method; secondly, on the basis of considering the influence of line impedance, deducing to form an impedance network structure of a hybrid wind power plant grid-connected system, and constructing a stability judgment condition suitable for system analysis; and finally, based on the established impedance stability criterion, identifying possible oscillation risks of the system in subsynchronous and supersynchronous frequency bands. The method is suitable for wind power system stability analysis in various hybrid access scenes, and provides theoretical basis and technical support for subsequent system parameter setting, control strategy optimization and oscillation suppression measures.

The invention provides an intelligent debris flow early warning method and system based on a physical model and an algorithm, and belongs to the technical field of geological disaster monitoring, and the method comprises the steps: S1, carrying out an indoor soil physical mechanics test, building a physical model, and carrying out the parameter calibration of the physical model through combining a stability criterion equation of a rainfall infiltration-matrix suction coupling effect; s2, simulating different conditions, and generating and outputting debris flow occurrence process data under different working conditions by the physical model; s3, taking the generation process data and the real-time monitoring data as input, constructing a two-channel input network, and training a correction model to obtain corrected response data; s4, on the basis of an SHAP interpretability framework, constructing a Bayesian probability early warning model driven by multi-source heterogeneous data; and S5, triggering real-time early warning of the early warning platform according to the debris flow real-time occurrence probability of the monitoring point, and constructing a mapping relation between soil deformation and critical parameters through dynamic simulation of a physical model on a soil mechanical behavior.

The invention discloses a stability criterion method considering a current amplitude limiting link for a network construction type energy storage system, and belongs to the field of stability control of a power system. According to the invention, the problem of virtual power angle switching after current saturation of the grid-forming converter is solved. The equivalent acceleration area and the equivalent deceleration area serve as the reflection of the energy increment and the energy decrement in the transient process of the converter, and the transient synchronization stability of the grid-connected system of the grid-forming type energy storage converter can be conveniently judged by comparing the acceleration area and the deceleration area or comparing the fault cut-off angle and the limit cut-off angle; the research result has a certain significance in improving the stability of the network construction type energy storage equipment.

Adaptive verifiable training enables the creation of machine learning models robust with respect to multiple robustness criteria. In general, such training exploits inherent inter-class similarities within input data and enforces multiple robustness criteria based on this information. In particular, the approach exploits pairwise class similarity and improves the performance of a robust model by relaxing robustness constraints for similar classes and increasing robustness constraints for dissimilar classes. Between similar classes, looser robustness criteria (i.e., smaller ∈) are enforced so as to minimize possible overlap when estimating the robustness region during verification. Between dissimilar classes, stricter robustness regions (i.e., larger ∈) are enforced. If pairwise class relationships are not available initially, preferably they are generated by receiving a pre-trained classifier and then applying a clustering algorithm (e.g., agglomerative clustering) to generate them. Once pre-defined or computed pairwise relationships are available, several grouping methods are provided to create classifiers for multiple robustness criteria.

The invention discloses a digital twinning multi-agent reinforcement learning intelligent decision-making system and method with a secure memory playback mechanism, and the system comprises a digital twinning module which is used for constructing a virtual model and synchronizing the virtual model with a physical entity in real time; the multi-agent reinforcement learning module is used for carrying out strategy learning based on a constrained Markov decision process and balancing performance and safety through a Lagrange multiplier; the safe memory playback module is used for weighting and playing back the experience samples according to the risk and the timeliness so as to improve the learning safety; the reversible grey influence network module is used for causal modeling and reasoning and enhancing decision interpretability; the double-loop self-constraint control module ensures that a control action is always in a physical safety boundary through a barrier function and safety projection; and the convergence and stability criterion module is used for verifying strategy security convergence and system asymptotic stability. According to the method, the problems of strategy border crossing, virtual-real mismatching and the like in the high-risk manufacturing process are solved, and multi-target optimal control under the safety constraint is realized.

The invention discloses a hypersonic flow instability multi-field coupling prediction method and system, and relates to the technical field of modern high-speed aircraft design, and the method comprises the steps: obtaining the multi-physical field parameter distribution of a hypersonic flow field; based on a shock wave-boundary layer interaction mechanism, constructing an instability sensitive graph data structure by taking multi-physical field parameters as input, setting graph nodes in a shock wave influence region, a boundary layer region and an intersection region thereof, and calculating connection weights among the nodes; performing multi-scale decomposition on the instability sensitive graph data structure, and extracting instability modes of a shock wave scale, a vortex scale and a molecular scale; screening the instability modes by adopting a hypersonic velocity stability criterion, and determining a dominant instability mode; and constructing an instability evolution prediction model based on the dominant instability mode, and outputting a spatio-temporal evolution rule of hypersonic flow instability. According to the method, the problem that the flow instability phenomenon in the hypersonic velocity complex multi-physical field environment is difficult to accurately predict can be solved.

The invention discloses an electricity-hydrogen coupling system stability evaluation method, which belongs to the field of energy system stability evaluation, and comprises the following steps: S1, considering nonlinear characteristics of an electrolytic bath and a fuel cell, and constructing a dynamic mathematical model of an electricity-hydrogen coupling system; s2, parameter uncertainty analysis is carried out; s3, generating a unified stability score; s4, obtaining a multi-objective optimization model; s5, performing simulation verification to obtain a final dynamic weight; and S6, inputting the real-time operation data of the electricity-hydrogen coupling system and the final dynamic weight into the step S3 to generate a stability score under the current working condition, performing matching verification in combination with a stability criterion, and outputting an evaluation result. By the adoption of the stability evaluation method for the electricity-hydrogen coupling system, through a technical closed loop of dynamic modeling-intelligent screening-collaborative optimization, breakthrough improvement is achieved in the dimensions of model precision, calculation efficiency, system robustness and the like, and full-working-condition stability guarantee is provided for the electricity-hydrogen coupling system.

The invention belongs to the related technical field of novel power system analysis, and discloses a stability analysis method and analysis system for a multi-following-network-construction-type converter system, and the stability analysis method comprises the steps: calculating admittance matrixes Qeq and Qml used for evaluating the stability of a following-network-type converter; and performing joint diagonalization processing on the matrixes Qeq and Qml to obtain corresponding diagonal matrixes Lambda eq and Lambda ml, extracting diagonal elements of the matrixes to form n groups of characteristic parameters (Lambda i and mu i), judging whether the (Lambda i and mu i XRPC0) are positioned above the critical stability curve of the following grid type converter or not, if so, indicating that the system is stable, and if not, indicating that the system is unstable. Based on the method, the stability criterion of the multi-following-network-construction-type converter system can be simplified, and the influence of different control modes of the construction-type converter on the stability of the following-network-type equipment can be clarified, so that the reactive power control strategy of the construction-type converter can be optimized, and the supporting capability of the construction-type converter on the power grid can be enhanced.

The invention discloses a fast output feedback control method for a networked nonlinear system triggered by a dynamic event. By designing the dynamic gain, the dynamic gain is bounded, tracking error coupling is avoided, and meanwhile, the influence of a nonlinear term containing an unknown quantity and external disturbance on the system is compensated. In addition, a dynamic event triggering mechanism is provided based on the dynamic gain, and dynamic compensation of a triggering threshold value is achieved. And constructing a composite Lyapunov function by recursively constructing a virtual control quantity, and enabling the Lyapunov function to meet a fast finite time stability criterion in combination with parameter design of dynamic gain and nonlinear term power. Therefore, tracking errors are converged to a tight set, and the states of all closed-loop systems and observers are globally bounded. According to the method, rapid finite-time dynamic event triggering output feedback actual tracking control of a non-strict feedback system can be realized, and the method has urgent engineering application requirements and is of great significance in promoting the development of a networked nonlinear system control theory and an engineering technology.

The invention discloses a lightweight piston thermal-structure coupling stability gradient design method, and relates to the technical field of internal combustion engine pistons, and the lightweight piston thermal-structure coupling stability gradient design method comprises the following steps: constructing an asymmetric load adaptive gradient structure, establishing a multi-physical field coupling stability criterion system, and implementing an intelligent response type gradient design process; according to the method, the limitation of traditional symmetric design and static analysis is broken through by constructing an asymmetric load adaptive gradient structure, establishing a multi-physics coupling stability criterion and combining an intelligent response type closed-loop design process based on a convolutional neural network, and the stability of the multi-physics coupling stability criterion is improved by utilizing mechanisms such as negative Poisson's ratio dynamic softening, inertial mass tuned damping and cross-scale interface strengthening. And deformation energy homogenization and dynamic stiffness self-adaptive regulation and control are achieved, the problems of local-overall response mismatch and steady-state-dynamic model disjunction are solved, real-time feedback regulation is introduced for the first time, and the thermal-structural coupling stability of the lightweight piston under the asymmetric working condition is improved through structural function integration.

A robot manipulator has a base; an arm connected to the base via at least a shoulder joint; and a control system with a dynamic stability determination module. The dynamic stability determination module of the control system determines whether a dynamic stability criterion is met. If the dynamic stability criterion is met, the arm is responds compliantly to an applied force; and if the dynamic stability criterion is not met, the control system causes motion of the base in the direction of the applied force.

The invention relates to the technical field of rail transit, in particular to a train dynamics modeling and formation control method based on a physical information neural network, which comprises the following steps: establishing a train longitudinal dynamics discrete model containing Davis resistance, and designing a physical information neural network structure; embedding the physical equation into a network loss function and introducing historical state input to capture time sequence characteristics; in the training stage, coasting area data are preferentially adopted to reduce traction / braking force interference, and resistance parameters and acceleration prediction are dynamically output; the network model is integrated to a model prediction control framework, a distributed controller is constructed to solve an optimal control sequence, and constraint conditions comprise safety spacing and a state updating equation; a heterogeneous train speed transfer function is deduced through frequency domain analysis, a chord stability criterion based on a two-norm upper bound is provided, and it is ensured that disturbance propagation is not amplified. According to the method, the train resistance parameter dynamic identification precision is improved by fusing data driving and a physical mechanism, and high-precision cooperative tracking and formation stability control are realized.

The invention relates to a method (100) for stabilizing a trailer vehicle (1) having an electric drive (10) for generating a torque (20) at one or more wheels (2) of a vehicle axle (3) of the trailer vehicle (1), wherein a driving stability criterion (30) of the trailer vehicle (1) is monitored (102) and, upon detection (104-J) of an unstable driving state (32), the electric drive (10) is controlled (105) by means of a drive control signal (11) to generate (106) a braking torque (20') at the wheel (2) or the wheels (2) of the vehicle axle (3). The invention further relates to a control unit (70) for a vehicle (1, 50), a trailer vehicle (1), and a vehicle combination (60) comprising a towing vehicle (50) and a trailer vehicle (1) for carrying out the method (100).

The invention relates to the field of soft continuum robot control, in particular to a soft continuum robot finite time robust trajectory tracking control method, which comprises the following steps: step 1, based on a segmented constant curvature hypothesis of a soft continuum robot, considering system uncertainty including unmodeled dynamics and exogenous disturbance; establishing a soft continuum robot dynamic model and converting the soft continuum robot dynamic model into a state space model; 2, based on nonlinearity of the state space model of the soft continuum robot, designing a finite time stability criterion for a nonlinear system; 3, designing a disturbance observer of a finite time stability criterion, and ensuring finite time convergence of an estimation error; 4, designing a nonsingular terminal sliding mode controller based on a result of the estimation error; 5, applying a trajectory tracking control strategy to the soft continuum robot; accurate trajectory tracking control of the soft continuum robot in finite time can be realized.

The invention relates to the technical field of servo loading, and discloses a rotating speed control method of a servo loading system, which comprises the following steps: constructing the servo loading system; the servo motor is driven to work at a constant torque; establishing a disturbance estimation model under servo loading disturbance; rotating speed data of the tested motor are obtained in real time, rotating speed errors are input into a speed PID controller, a basic control signal is generated, disturbance compensation and error response are fused, and a master control signal is constructed; pID parameters of a speed PID controller are optimized and adjusted on line through an improved fast exploration random tree algorithm; and fixing the speed PID parameter according to an error stability criterion, keeping the current control output, and readjusting the PID parameter when the disturbance trend changes. According to the invention, the rotating speed control precision and the operation stability of the servo loading system under complex disturbance conditions can be improved.

The invention discloses a compensation parameter self-tuning vibration suppression method for a magnetic suspension bearing system, which belongs to the field of magnetic suspension bearing control, and comprises the following steps: S1, carrying out a pulse excitation experiment on a magnetic suspension bearing-rotor system by using an electromagnetic vibration exciter, a magnetic suspension bearing-rotor system model is obtained through parameter identification of the frequency response function; s2, obtaining a phase compensation angle according to the mapping relation of the frequency response function; and S3, according to the system model, designing a compensation controller based on a second-order generalized integral-synchronous rotating coordinate system, and through the system model, the phase compensation angle and stability criterion self-tuning compensation control parameters, realizing vibration suppression of the magnetic suspension system. The method can effectively suppress unbalanced mass vibration of the rotor, compensation parameters do not need to be tested and calibrated in advance, the self-tuning process is rapid and convenient, and the method is suitable for any multi-degree-of-freedom magnetic suspension bearing-rotor system and has good practical value and economic value.

This invention provides a method for reconstructing actuator faults in a heterogeneous multi-agent integrated energy system, relating to the field of fault diagnosis. The invention establishes a unified dynamic model for the agents; defines intermediate variables and constructs their dynamic equations; builds a global error dynamic system for distributed intermediate observers and agents; derives the stability criterion for the global error system based on Lyapunov stability theory, obtaining the state observer gain matrix for state estimation; loads the state observer gain matrix and the gain matrix for state estimation into each agent; and during the real-time operation of the agents, obtains the current state vector estimate and intermediate variable estimate, and calculates the reconstructed actuator fault value. This invention utilizes an output space coupling mechanism, enabling distributed collaboration between different energy networks without requiring a unified model dimension, thus breaking down the physical barriers to actuator fault reconstruction in integrated energy systems.

The invention discloses an island micro-grid load frequency stability control method considering communication time lag and a virtual inertia link, and the method comprises the steps: firstly building an island micro-grid load frequency control model containing the virtual inertia link, then constructing a Lyapunov functional on the basis, carrying out the derivation of the constructed functional, and carrying out the calculation of the load frequency stability of the island micro-grid. Derivative integral terms are defined by means of a generalized free-weight integral inequality, then a time-delay correlation stability criterion based on a linear matrix inequality is obtained, then the linear matrix inequality under different PI parameter conditions is solved, a maximum allowable time-delay upper limit (MDSM) for ensuring system stability is obtained, the time-delay upper limit is improved, system conservative property is reduced, and the stability of the system is improved. On the basis of the prior art, the robustness of the system is further improved, and the system has a larger stable operation area.

The invention discloses an unmanned aerial vehicle guaranteed performance trajectory control method, and relates to the field of unmanned aerial vehicle tracking control, and the method comprises the following operation steps: S1, carrying out the longitudinal dynamics modeling of a fixed-wing unmanned aerial vehicle; s2, constructing a T-S fuzzy model; s3, a Fuzzy-GCC controller is designed; s4, the LMI of guaranteed performance control is solved; and S5, intelligently optimizing the parameters. According to the unmanned aerial vehicle guaranteed performance trajectory control method, the control models of the fixed-wing unmanned aerial vehicle can be integrated to obtain a unified form, so that the control law design and parameter tuning of the fixed-wing unmanned aerial vehicle are greatly simplified, a complex propulsion system and a longitudinal controller are decoupled through a lookup table, and the control efficiency of the fixed-wing unmanned aerial vehicle is improved. According to the method, the complexity and nonlinearity of the whole model are remarkably reduced while the control precision is kept, a T-S fuzzy model for longitudinal control of the fixed-wing unmanned aerial vehicle is deduced, and a GCC method and a stability criterion thereof are proposed based on the model, so that the global asymptotic stability of the designed nonlinear state feedback controller is ensured.

This invention discloses an active damping control method for bipolar DC distribution systems based on modulus decomposition. It incorporates line coupling into the system's stability criteria and active damping parameter design, deriving the pole-mode transformation matrix of the metal-return bipolar DC distribution system and obtaining a decoupling model of the bipolar DC line in the modulus component space. The modulus models of the source-side converter and load are also derived. Based on the established decoupling model of the bipolar DC distribution system in the modulus component space, an active damping control method based on modulus decomposition is proposed. This invention considers the impact of DC distribution lines on stability, incorporating line coupling into the system's stability criteria and active damping parameter design. The modulus damping control scheme proposed in this invention can more effectively suppress instability caused by the negative impedance characteristics of constant power loads and also provides a basis for parameter adjustment.

The present application belongs to the technical field of power system, and particularly relates to a time-delay power system stability analysis method and system. The method firstly establishes a load frequency control system model including time delay and nonlinear load disturbance, wherein the nonlinear load disturbance is a nonlinear disturbance taking unknown exogenous load disturbance as current and delayed state variable; then an augmented Lyapunov-Krasovskii functional is constructed, and an analysis method based on time-delay dependent matrix free matrix integral inequality and anti-convex combination inequality is adopted to analyze the stability of the load frequency control system, so as to obtain the stability criterion of the load frequency control system. The present application plays an important role in improving the calculation accuracy and time delay upper limit, and is helpful to expand the stable operation area of the power system.

The embodiment of the invention discloses a simulation calculation method and device for a thin shell transient jump behavior, a medium and equipment. The method comprises the steps that a thin shell finite element analysis model is established; performing time sequence simulation analysis on the transient jump behavior of the thin shell, and in each time step, calculating a strain change rate characteristic value spectrum, and obtaining a nonlinear strength index and a local stiffness spectrum radius of each unit; when the non-linear criterion index of the unit is greater than a threshold value and the local stiffness spectrum radius is greater than the threshold value, dividing the unit into an explicit domain unit and improving the calculation precision by adopting a sub-step size control technology, otherwise, dividing the unit into an implicit domain unit; a self-adaptive step length technology is adopted, and the calculation efficiency is improved through large-step-length propulsion; calculating an incremental potential energy function, and judging whether the thin shell is about to enter a deformation bifurcation point or not by adopting a stability criterion; and constructing a deformation tentative displacement vector by adopting the fastest descending direction of the potential energy function, and accurately capturing real physical paths of jumping behaviors under various working conditions.

This invention discloses an asymptotic stability control method for urban expressway convoys based on a distance-information adaptive criterion. Belonging to the field of intelligent convoy control technology, the method includes: collecting the relative distance and speed between the vehicle and the preceding vehicle, as well as the motion state information of multiple preceding vehicles; monitoring the communication link in real time and calculating the signal quality factor of each preceding vehicle; constructing a dual adaptive coupled car-following model, which adjusts the vehicle's acceleration through both distance sensitivity coefficients and information sensitivity coefficients; deriving the asymptotic stability criterion for the convoy in equilibrium state based on the dual adaptive coupled car-following model and calculating stability indices in real time; and executing a hierarchical closed-loop control strategy based on the stability indices. This invention can simultaneously utilize distance-based sensitivity adjustment to ensure short-range safety and dynamically adjust the coordination weights according to signal quality, ensuring the asymptotic stability of the convoy in high-speed flow and complex communication environments.

The application discloses a hypersonic flow instability multi-field coupling prediction method and system, relates to the technical field of modern high-speed aircraft design, and comprises the following steps: acquiring the multi-physical field parameter distribution of a hypersonic flow field; based on a shock wave-boundary layer interaction mechanism, constructing an instability sensitive graph data structure by taking the multi-physical field parameters as input, setting graph nodes in the shock wave influence area, the boundary layer area and the intersection area thereof, and calculating the connection weight between the nodes; performing multi-scale decomposition on the instability sensitive graph data structure, and extracting instability modes of the shock wave scale, the vortex scale and the molecular scale; screening the instability modes by adopting a hypersonic stability criterion, and determining a dominant instability mode; and constructing an instability evolution prediction model based on the dominant instability mode, and outputting the spatiotemporal evolution law of the hypersonic flow instability. The application can solve the problem that the flow instability phenomenon under the complex multi-physical field environment of hypersonic speed is difficult to accurately predict.

The invention relates to the technical field of power grids, and provides a network construction device transient stability evaluation method and system considering damping and current limiting, and the method comprises the steps: based on the actual angular frequency of a virtual synchronous machine, the rated angular frequency of a power grid, and the active reference value of a network construction type inverter converter, combining the transient stability critical condition of the virtual synchronous machine and an energy function, and evaluating the transient stability of the network construction device; carrying out simultaneous solution to obtain a critical fault clearing angle so as to quantify the transient stability of the network construction device; wherein the transient stability critical condition of the virtual synchronous machine is obtained by introducing an equivalent damping deceleration area and incorporating the equivalent damping deceleration area into an equal area rule, and calculation of the damping deceleration area is simplified by analyzing the concavity and convexity of an angular frequency track. The conservative property of a traditional transient stability criterion is effectively reduced, and a more accurate design basis is provided for control parameter setting of the network-forming converter.

The invention discloses a quantitative control method and device for preset time output feedback of a double inverted pendulum system, and relates to the field of automation, and the method adopts a fuzzy logic system and a fuzzy state observer which are respectively used for processing unknown nonlinear dynamic characteristics of the system and estimating an unmeasurable state. In the design process of the controller, a second-order command filter and a backstepping technology are combined, a state quantization mechanism is introduced, and a novel self-adaptive quantization control method is provided. According to the method, the problem of discontinuity of virtual control signals can be effectively solved, and meanwhile control singularity is avoided. By introducing the preset time stability criterion, it is proved that the closed-loop system can achieve stable convergence within the preset time. A simulation result verifies the effectiveness of the control method, which indicates that the method can ensure that the output state of the double inverted pendulum system is converged to an expected precision range within a preset time, and the response speed and the control precision of the system are improved.

The invention discloses an operational amplifier circuit safety control method based on a WTOD protocol, and belongs to the technical field of network safety control. The method comprises the following steps: establishing a networked Markov jump system based on a state equation of an operational amplifier circuit; a logarithm quantizer and a WTOD protocol are introduced; a redundant channel is designed for the random DoS attack; establishing an output feedback controller depending on a mapping mode and a scheduling signal; establishing a closed-loop system based on a Markov jump system, a logarithm quantizer, a WTOD protocol, a redundant channel and an output feedback controller; based on a Lyapunov function method, generating a stability criterion of the closed-loop system; and based on the stability criterion, solving the feedback gain of the output feedback controller. The stability of the operational amplifier circuit under random DoS attacks can be improved, unnecessary data transmission can be reduced under the condition that communication resources are limited, and the transmission burden of a communication channel is effectively reduced.

The application provides a vacuum mixing process optimization method and system, which comprises collecting mixing container cavity pressure, jacket temperature, material torque, stirring speed, and air extraction flow signal, calculating pressure change rate, torque fluctuation amplitude, air extraction amount per unit time, and pressure fluctuation characteristic quantity, dividing the vacuum mixing process into four stages of initial exhaust, bubble release, viscosity climb, and densification stability; in the initial exhaust section, the vacuum valve opening degree and time length are controlled according to the air extraction amount and the pressure change rate, and the pressure response delay is recorded; in the bubble release section, an air extraction and stop alternating sequence is generated, and the air extraction and stop time length is corrected in combination with the delay; in the viscosity climb section, the target pressure interval is determined according to the torque, temperature, and pressure change rate, and the speed and valve opening degree are cooperatively adjusted to stabilize the pressure; in the densification stability section, a stability criterion is constructed, and the valve opening degree is controlled as needed; when adjacent stages are switched, the target pressure starting point, valve opening degree initial value, speed initial value, and control period of the next stage are corrected according to the end parameters of the previous stage.

The application discloses a kind of single-area PI type load frequency control time-delay power system stability analysis method, comprising the following steps: 1) establish single-area PI type load frequency control power system mathematical model;2) considering the influence of time delay on power system, on the basis of power system mathematical model, establish time-delay power system mathematical model;3) construct Lyapunov functional;4) the derivation of Lyapunov functional;5) the integral term of the Lyapunov functional after derivation is estimated using the first lemma, and the stability of the time-delay power system mathematical model is analyzed using a two-parameter quadratic polynomial function and the Schur complement theorem, to obtain a less conservative stability criterion.The application has the advantages of less conservative, lower analysis process complexity, etc.