204 results about "Time lag" patented technology

The invention discloses an intelligent smelting process parameter optimization management method and system, and relates to the technical field of smelting process data processing, and the method comprises the steps: determining the initial time lag of a process parameter according to the input of the process parameter and the output of a smelting raw material, and considering the time lag characteristic of the process parameter during the adjustment. And the smelting state of the smelting equipment is defined, and the working state of the smelting equipment is defined, so that a reliable basis is provided for optimization of subsequent process parameters. The nonlinear relation between process parameter input and smelting raw material output and the coupling relation between process parameters are determined, the nonlinear relation is analyzed by considering the process parameter input, the smelting state and the smelting raw material output, and description is carried out through a polynomial regression mode. And the initial time lag is adjusted in combination with the nonlinear relation and the coupling relation. The process parameters are stably, rapidly and reasonably adjusted, the accuracy and adaptability of optimization and adjustment of the process parameters are improved, and it is guaranteed that the smelting process is efficiently and safely carried out.

The invention relates to the technical field of data processing, in particular to a computer-aided air conditioner load prediction model simulation construction method, which comprises the following steps of: acquiring data of each environmental parameter in a building at all moments in each period in real time to form a monitoring sequence; the method comprises the following steps: performing analogue simulation on energy consumption of an air conditioner to obtain load data of an air conditioner load at all moments in each period, and forming a load sequence; acquiring a lagging time length; extracting a time delay subsequence of each environmental parameter in each period; the trend synchronization degree between each environment parameter and the air conditioner load in each period is determined; determining a coupling coefficient of any two environmental parameters in each period; determining a reference evaluation value between the current period and each of the rest periods; obtaining each reference period; and constructing a load prediction model. According to the method, prediction deviation caused by neglecting interaction influence and lag influence among various environmental parameters can be avoided, and the prediction accuracy of the air conditioner load is improved.

The invention discloses a stability control system and method considering time varying and time lag of a steering mechanism, and the system comprises a rotation angle generation module, a reference model module, an error fusion module, a stability control module, and an EKF side slip angle observation module. Wherein the steering angle generation module adopts a model predictive control (MPC) algorithm to track an expected trajectory and generate a front wheel steering angle, and the stability control module adopts a Smith pre-estimation compensation method to design active front wheel steering (Smith-AFS) and direct yawing moment control (DYC) so as to realize the stability control of the intelligent vehicle under the condition that an execution mechanism has time-varying and time-lag. According to the stability control system and method considering the time-varying time-lag of the steering mechanism, the tracking precision of the side slip angle and the yaw velocity is greatly improved, and the time-lag interference problem of a stability controller can be solved.

The invention relates to a multi-machine cooperative dynamic balance driving method, system and device for a spiral lifting machine, and the method comprises the steps: carrying out the compensation of the time lag of an actuator through employing a non-linear state observation and time lag compensation combined method, and obtaining a feedforward control quantity; performing Lyapunov stability feedback processing on the vibration acceleration signal to obtain a vibration suppression control quantity; designing a multi-section S-shaped speed curve, and calculating a closed-loop feedback control quantity by adopting PID (Proportion Integration Differentiation) combined with a robust control algorithm; and according to the feedforward control quantity, the vibration suppression control quantity and the closed-loop feedback control quantity, multi-machine cooperative dynamic balance driving of the spiral lifting machine is carried out. According to the invention, a non-linear state observation and time delay compensation technology is adopted, so that the synchronization error is reduced to a millisecond level; the low-frequency vibration amplitude is reduced through dynamic feedback control designed based on the Lyapunov theory; the hydraulic impact is obviously reduced by adopting a multi-section S-shaped speed curve; external disturbance is observed in real time through Kalman filtering, feed-forward compensation is carried out, and the robustness of the system is greatly enhanced.

To provide a multilingual voice distribution method capable of translating a voice uttered by a speaker into other languages, minimizing the occurrence of a time lag accompanying the translation, and transmitting the voice to a plurality of recipients without delay. [Solution] Speech uttered by a speaker is input to a speech terminal 1 and transmitted with a PTT (Press to Talk) button held down. The speaker's speech is input to a translation engine 3 and converted to text by a text conversion unit 3a. The text converted from the speech is translated into multiple languages ​​by a multilingual translation unit 3b and converted into speech in each language by a speech synthesis engine unit 3c for each language. The converted multilingual speech is input to a speech distribution server 4, and the multilingual speech is distributed in a preselected language by a speech distribution unit 4a, and the translated and distributed speech is received by a listening terminal 5 and transmitted to the listener.

A cracking furnace outlet temperature multi-step compensation predictive control method with a time-lag characteristic belongs to the field of advanced control of an industrial process and comprises the following steps: step 1, modeling a cracking furnace outlet temperature control system, and establishing a state space model combining a linear model and an unmodeled dynamic state; 2, establishing an expanded incremental model; 3, designing a robust time-delay prediction controller according to the time-varying and time-delay characteristics of the system; and 4, designing an unmodeled dynamic multi-step compensation controller. A brand new scheme is provided for designing a controller of a cracking furnace outlet temperature control system with uncertainty, strong nonlinearity and time-varying and time-lag, and system tracking errors are eliminated as far as possible by combining data driving and a multi-step compensation principle, so that the system can better track a set value, and meanwhile, the long-term operation capability of the system is improved.

The invention discloses a control system based on a composite controller and an optimization control method, and relates to the technical field of advanced control. The problems that an existing nonlinear time delay system generally exists in a complex industrial control and automation system, and a traditional control strategy is difficult to effectively deal with time delay and nonlinearity are solved. According to the method, the Smith predictor is designed to eliminate the time lag influence in the system, and meanwhile, the fractional order controller is introduced to enhance the adaptive capacity of the system to nonlinear behaviors. The Smith predictor and the fractional order controller are combined to form a composite controller, and the dynamic response performance and the control precision of the system can be remarkably improved. In order to further optimize controller parameters, an improved artificial rabbit optimization algorithm is adopted, and the algorithm improves the global search capability and convergence speed by introducing a dynamic adjustment factor, a Levy flight strategy and a boundary control strategy.

The invention discloses a sliding mode-extended state observer vibration control method based on time delay compensation in the field of vibration control. The sliding mode-extended state observer vibration control method comprises the following steps: step 1) carrying out novel modeling on a four-side fixed support plate system; 2) designing an extended state observer; 3) designing a sliding mode controller; 4) designing a time delay compensator; and step 5) calculating the control quantity by using the NI-PCIe acquisition card and the Simulink. According to the invention, based on NI-PCIe hardware-in-the-loop platform development, the problems of system time lag, model uncertainty, influence of an inertial actuator and external excitation existing in a four-side fixed support plate are solved, and the total disturbance of the system including internal and external disturbance is estimated through an extended state observer. A content system is simplified into an integral series connection type for control by eliminating total disturbance through feedforward, and a delay compensator based on an enhanced differentiator is introduced to carry out non-delay design on the system, so that the vibration suppression performance of the sliding mode controller is improved.

The invention discloses a heterogeneous commercial motorcade multi-objective optimization control method and device under a time lag condition. The method comprises the following steps: S1, establishing a dynamic model and a queue system model of each vehicle in a commercial motorcade; s2, designing a queue controller based on a distributed model predictive control method, establishing a cost function and a constraint condition, defining a sub-predictive optimization problem for each vehicle, designing a vehicle following error, economical efficiency and comfort cost function, reducing vehicle following errors in heterogeneous vehicle queue driving, reducing energy consumption, improving comfort and improving queue comprehensive performance; s3, a buffer and a delay compensator are integrated on the controller, a delay compensation link is added to a control system, the control effect of the heterogeneous motorcade under the delay condition is improved, and stable control over the heterogeneous motorcade under the non-ideal communication condition is achieved; and S4, the target function is solved by adopting simulated annealing and a particle swarm optimization algorithm, the problem of nonlinear discontinuous target values in the target function is solved according to a probability method, the operation time is shortened, and the solving efficiency is improved.

The invention discloses a fault determination method and device, equipment and a computer storage medium. The method comprises the steps of obtaining operation data of multiple devices in a preset time period, constructing a first time-delay matrix and multiple second time-delay matrixes of the operation data by using a sliding window, calculating a first Cauchy-Schwarz divergence of the first time-delay matrix and a target second time-delay matrix, the target second time-delay matrix being any one of the multiple second time-delay matrixes, and calculating a second Cauchy-Schwarz divergence of the target second time-delay matrix; and if the first Cauchy-Schwarz divergence is greater than a first threshold value, determining that the operation data corresponding to the target second time-delay matrix is abnormal, and determining that a plurality of devices fail. In this way, the Cauchy-Schwarz divergence of the first time-delay matrix and the second time-delay matrix is calculated, that is, the fault problem is detected according to the difference degree of probability distribution between the data in the normal state and the test data, the fault is recognized earlier and more accurately, and the detection rate of the tiny fault is increased.

The invention discloses a photovoltaic power generation system maximum power point tracking control method considering time delay, and belongs to the technical field of photovoltaic cell maximum power point tracking control. The method solves the problems that a traditional maximum power point tracking control method is low in tracking precision and low in tracking speed and cannot deal with complex working environments, battery array parameter change and time delay in a system. An averaging method based on time delay is used for averaging a system to obtain an equivalent system, a constant variation formula method based on an ordinary differential equation is used for carrying out quantitative stability analysis on the equivalent system, a quantitative relation between system stability and controller parameters is established, a final controller form is obtained, and the stability of the system is improved. The MPPT tracking control of the photovoltaic cell is realized in a real sense, the tracking precision and the tracking speed are improved, and the power loss of the photovoltaic cell is effectively reduced. The method can be applied to maximum power point tracking control of the photovoltaic power generation system with time delay.

The invention provides a self-adaptive fixed time tracking control method based on event triggering, which is used for solving the technical problem that a virtual control law is easy to generate singularity in the traditional backstepping method design. The method comprises the following steps: establishing a mathematical model of a non-strict feedback nonlinear system with input time delay, and introducing an auxiliary system to counteract delay influence; an error dynamic system is obtained through coordinate transformation; according to system fixed time convergence, designing a piecewise function, introducing a backstepping method to design a controller and an adaptive law, using an RBFNN to approach an unknown function therein, designing a virtual control signal corresponding to each error signal, and obtaining an actual controller and an adaptive law; according to the actual self-adaptive controller, event triggering conditions are designed, when the event triggering moment is reached, the event triggering conditions containing input are triggered, and information transmission and response are carried out. An event triggering mechanism is designed, the number of times of control instruction transmission is reduced, communication resources are saved, and rapid convergence and safe operation of the system state are achieved.

The invention discloses a periodic disturbance compensation method and device for an input time delay system, equipment and a medium, and relates to the field of disturbance control, and the method comprises the steps: obtaining a state-space equation of the input time delay system; according to the state-space equation of the input time-delay system, converting the input time-delay system into a non-input time-delay system by adopting a time-delay compensation method; based on the error signal of the no-input time delay system, estimating the value of the to-be-determined parameter by adopting an internal model principle and a linear regression method to obtain an estimated value of the to-be-determined parameter; and determining a control input signal of the zero-input time-delay system by adopting the feedback controller according to an output signal of the zero-input time-delay system and the to-be-determined parameter estimation value so as to perform periodic disturbance compensation on the zero-input time-delay system. The feedback controller is adopted to perform feedback control on the control input signal according to the output signal of the system, and compensation of unknown time-varying periodic disturbance of the input time delay system can be realized.

The invention discloses a land water reserve dynamic attribution evaluation method and device based on a time lag effect. The method comprises the following steps: obtaining a land water reserve data set and a related driving factor data set of a target area in a historical time period, and unifying grid resolution through grid preprocessing and resampling; analyzing the spatial-temporal dynamic state of the land water reserves based on the obtained grid set, and outputting the change trend and degree of the land water reserves of the target area in the research time period; decomposing the seasonal trend to decompose the land water reserves of the target area into a trend term, a seasonal term and a residual term, and evaluating the relative contribution of the three components; calculating the correlation coefficient of the driving factor of each grid in the grid set, performing significance test on the correlation coefficient, screening out the driving factors without obvious time-delay effect, and generating a key driving factor set; and finally, evaluating the interpretation degree of the key driving factors on the land water reserve dynamic state and the combined effect thereof.

The invention discloses a thermal working time lag process ADRC design method with time lag robustness. The thermal working time lag process ADRC design method comprises the steps that 1, a transfer function model of a first-order inertia time lag process of a thermal process is established; step 2, establishing a time-delay ADRC structure based on model information driving; 3, obtaining a proportional gain with expected closed-loop dynamic representation and a corresponding observer bandwidth setting rule through low-frequency approximation; step 4, scaling control parameters of the ADRC system according to the transfer function model established in the step 1, and setting default adjustment parameters of proportional gain and observation bandwidth; 5, carrying out equivalent two-degree-of-freedom conversion on the closed-loop system, analyzing the nominal stability of the ADRC system based on a double-track method, and obtaining a nominal stability domain of the control parameters; and step 6, in the nominal stability domain obtained in the step 4, according to the regularization rule of the ADRC scaling parameter and the demand of comprehensive robustness, obtaining the time constant of the low-pass filter in the compensation channel by establishing a monotonically decreasing amplitude curve of the time-delay ADRC open-loop Bode diagram.

The invention discloses an integral time-delay parameter identification method based on unbalance, which comprises the following steps: S1, constructing a discrete table of a river water level-storage capacity relationship in a steady state based on a river and canal hydrodynamic model, and constructing a river water level-storage capacity relationship model by adopting a three-dimensional spline interpolation method; s2, calculating the actual average storage capacity variation of the river channel in each unit time length according to the river channel water level-storage capacity relation model; s3, combining the flow monitoring data at the two ends of the riverway with the actual average storage capacity variation of the riverway in each unit time length, and calculating the unbalance of the riverway; and S4, constructing an integral time-delay model according to the unbalance of the river channel, and identifying parameters in the integral time-delay model by adopting a genetic algorithm. Based on an introduction mechanism of the unbalance, the difference between the theoretical water volume change and the actual observation change is explicitly described; therefore, the problem that a traditional integral time-delay model neglects non-ideal factors such as system lag and measurement errors is effectively solved.

The invention relates to the technical field of production monitoring, in particular to a real-time monitoring and automatic injection control system for solving large time delay, which comprises a data collection module, a risk analysis module, an automatic injection module and an injection effect analysis module. According to the method, the corrosion risk change trend is accurately identified through trend analysis and time sequence prediction, potential hazards can be pre-judged before the risk reaches a critical value, the production stability is improved, and after the corrosion risk is identified, the chemical substance concentration is maintained within a specific range by dynamically adjusting the equipment parameters and the injection amount of the additive, so that the production efficiency is improved. According to the method, corrosion protection is more accurate, production potential safety hazards and resource waste caused by excessive or insufficient additives are reduced, based on real-time data feedback and tracking analysis of the injection effect, a maintenance decision has higher flexibility and timeliness, the equipment maintenance period can be optimized according to the additive effect, and the maintenance efficiency is improved. And unnecessary shutdown maintenance times are reduced.

The invention discloses a non-linear state rapid fitting method for an aircraft, and belongs to the field of aircraft control. The implementation method comprises the following steps: constructing a two-loop attitude pilot and a three-loop attitude pilot, and discretizing to obtain a guidance instruction with a time-delay effect; according to coordinate conversion, forward deriving each aerodynamic parameter of the aircraft and an aircraft overload instruction equation; the method comprises the following steps: calculating all pneumatic data according to part of pneumatic data obtained by a blowing experiment of an aircraft, and fitting a guidance instruction with a balance attack angle, a sideslip angle and a rudder deflection angle of the aircraft to obtain a corresponding interpolation table; all aerodynamic parameters in the flight process of the aircraft are obtained according to an aircraft guidance instruction and an interpolation table in the actual situation, namely, nonlinear state rapid fitting of the aircraft is achieved, and simulation reproduction of the aircraft as a mass point in the whole guidance process is achieved according to the nonlinear state rapid fitting result. And the precision and efficiency of aircraft guidance control are improved.

To provide a program production system that measures a delay time of a video image with respect to audio and auxiliary data by a simple method so as to realize synchronization among the video image, the audio and the auxiliary data generated at the same time.SOLUTION: The video time difference calculating unit 11 - 1 of the video delay measuring apparatus 2 extracts the time stamp V1 from the video RTP packet VTS1 and generates the video RTP packet V2 including the timing information. The video RTP packet V2 is transmitted to the video delay time difference measuring path. A video time difference calculation section 11-1 extracts a time stamp V3 from a video RTP packet VTS2 to obtain a video time difference VT. The audio time difference calculator 11-2 obtains the audio time difference ST, and the ancillary data time difference calculator 11 - 3 obtains the ancillary data time difference AT. The delay time calculating unit 13 subtracts the audio time difference ST from the video time difference VT to obtain the audio delay time SD, and subtracts the ancillary data time difference AT from the video time difference VT to obtain the ancillary data delay time AD.SELECTED DRAWING: Figure 5

The invention provides a central air-conditioning participation demand response time-lag effect analysis method, which comprises the following steps of: constructing a simplified time-lag effect calculation model according to a building body shape and an air-conditioning system design specification; an actual building case is selected, and the time-delay effect calculation model is further verified; on the basis of the verified case, an air conditioning system simulation platform is built, external data and built-in data are read, and the external data and the built-in data are sorted and stored in a working area; and a demand response operation scene is simulated on the air conditioning system simulation platform, and the influence of the time-lag effect on the cooling capacity and the thermal comfort of the tail end of the air conditioning system is evaluated by comparing simulation data with external data and built-in data. According to the method, through deep analysis of the time-lag effect, the operation strategy of the air conditioning system can be optimized, and the regulation and control effect and precision of the air conditioning system in demand response are improved.

The invention discloses a high-order multi-agent system control method with unknown input time lag and quantization, which comprises the following steps: S1) under the condition of unknown time-varying time lag and input quantization, carrying out system description on an uncertain high-order multi-agent system and introducing a lag uniform quantizer; s2) converting an uncertain high-order multi-agent system tracking control problem with unknown time-varying time-lag and input quantization into a bounded problem of a differential equation solution with time-lag; s3) constructing a dominant expression of the system and feasibility conditions for realizing bounded tracking according to the bounded problem of the time delay differential equation; and S4) performing control design according to a dominant expression of the system and bounded tracking feasibility conditions. The invention designs an adaptive finite time dynamic surface control scheme for a high-order multi-agent system with unknown input delay. Meanwhile, the finite time stability theorem is utilized to prove that all signals in the closed-loop system are semi-globally practical and stable in finite time.

The invention discloses a central air-conditioning system self-adaptive control method and system considering the time-lag effect and a storage medium, and the method comprises the steps that a central air-conditioning system time-lag state space model based on energy balance is constructed to describe the time-lag phenomenon of a central air-conditioning system; through data fitting and simulated annealing algorithm optimization, identifying a time lag value of the central air-conditioning system; based on the time-lag value, the time-lag state space model of the central air-conditioning system is applied to predict a time-lag stable interval of the central air-conditioning system; and according to the time-delay stable interval, the central air conditioning system is controlled to operate in a self-adaptive mode by combining fuzzy PID. According to the method, the time lag phenomenon in the system can be accurately described, the control precision and energy efficiency of the system can be improved, the problem of control lag of the central air conditioning system in the demand response process can be solved, the overall operation efficiency of the system is improved, and the method has important theoretical significance and practical application value.

The invention discloses a central air conditioner control method and system considering the time-lag effect, and the control method comprises the steps: constructing a time-lag effect model which is used for reflecting the time-lag effect characteristics of a central air conditioner system; formulating a central air conditioner demand response strategy according to the time-delay effect model; on the basis of the time-lag effect model and the demand response strategy, key indexes used for evaluating the interaction effect of the central air conditioning system are determined; integrating the key indexes, and constructing a demand response interaction capability evaluation system; and integrating the time-lag effect model, the demand response strategy and the demand response interaction ability evaluation system into the central air-conditioning control system to obtain the central air-conditioning control system considering the time-lag effect. According to the control method and the control system, the energy utilization efficiency and the demand response capability of the central air conditioning system can be effectively improved, meanwhile, the user comfort and the economic benefit are considered, and an important guarantee is provided for building energy conservation and power grid stability.

The invention discloses a cascade control method of an impulse turbine regulating system based on an improved crown porcupine algorithm, which considers mechanical time lag of a hydraulic actuating mechanism and establishes a mathematical model of the impulse turbine regulating system under small fluctuation. According to the DMC-FOPID cascade control method for the impulse turbine regulating system, FOPID control is adopted as inner loop control, DMC (dynamic matrix control) is introduced as outer loop control, and the DMC-FOPID cascade control method for the impulse turbine regulating system is provided. According to the method, a Created Porcupine Optimization (CPO) algorithm is improved in combination with tent chaotic mapping and a fractional order longhorn beetle search mechanism, and the improved ICPO algorithm is provided, so that the optimization performance of the CPO is improved, and therefore, the optimal performance of the CPO is improved, and the optimal performance of the Created Porcupine Optimization (ICPO) is improved, and the optimal performance of the Created Porcupine Optimization (ICPO) is improved, and the optimal performance of the Created Porcupine Optimization (ICPO) is improved. And FOPID parameters are set and optimized through ICPO, and control simulation is carried out based on Simulink. The result shows that the cascade control method can effectively improve the control performance of the impulse turbine adjusting system.

To provide a system that replaces a supervisor with a super AI to eliminate the need of a human operator, uses the time difference to eliminate the need of operations in centers in a plurality of countries, operates call centers without a day off and without worrying about a labor shortage and a language barrier, and responds to inquiries with the combination of a voice-to-character conversion function and generative AI.SOLUTION: In a data processing system comprising a data processing apparatus 12 and a smart device 14, specific processing performed by a specific processing unit 290 of the data processing apparatus 12 includes: converting the voice of an inquiry from a customer into character information with a voice-to-character conversion function, allowing generative AI to analyze the character information, generating appropriate response on the basis of a result of the analysis, and converting the response into voice information and providing it to the customer; and allowing super AI to take the role of a supervisor that checks appropriateness of the response generated by the generative AI, allowing the super AI to determine if the response generated by the generative AI is appropriate, and correcting the response or generating response again when necessary.SELECTED DRAWING: Figure 2

The invention discloses a short-term load prediction method and system considering multi-scale time-lag correlation. The method comprises the following steps: constructing time sequence data of a load and a comprehensive meteorological index; respectively decomposing the time sequence data of the load and the comprehensive meteorological index through an empirical mode decomposition derivation method; dividing each load scale component and each comprehensive meteorological index scale component into a plurality of analysis mode groups, and respectively analyzing the first overall dynamic correlation; based on the second overall dynamic correlation, correcting the time delay between the two components in the analysis mode group in which the first overall dynamic correlation is smaller than a set dynamic correlation threshold value; training the load prediction model by adopting each analysis mode group; and obtaining a short-term load prediction final result in real time through the trained load prediction model. According to the method, the time lead / lag relationship between the load and the multivariate data is corrected, the dynamic analysis capability of the multivariate data in different change periods is enhanced, and the accuracy of load prediction is improved.

The invention discloses a multi-axis synchronous coordination control method based on a virtual time-delay main axis, and the method comprises the following steps: S1, representing any axis in a multi-axis system with an x axis, building an observer, and obtaining the current position error Perr, observation speed Vx and observation acceleration Ax of the x axis; s2, the time delay time tdx corresponding to the x axis at the current moment is obtained through a formula; s3, for each axis in the multi-axis system, obtaining the time delay time corresponding to each axis at the current moment by adopting the method in the steps S1-S2; and S4, adopting a cross compensation control strategy, carrying out average calculation on the time delay time corresponding to each axis to obtain expected time delay time td, and superposing the expected time delay time td to a current loop regulator of the multi-axis system through a cross coupling regulator to realize cross compensation.

The system according to this embodiment aims to eliminate the time lag between offline and online operations through logistics optimization and demand forecasting. [Solution] The system according to the embodiment comprises a logistics analysis unit, a delivery route selection unit, a demand forecasting unit, an inventory management unit, and a recommendation unit. The logistics analysis unit analyzes each process of logistics. The delivery route selection unit selects a delivery route based on the information analyzed by the logistics analysis unit. The demand forecasting unit analyzes the user's purchase history or behavioral data. The inventory management unit manages inventory based on the forecast results obtained by the demand forecasting unit. The recommendation unit analyzes the user's behavioral data and suggests products.

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.

To provide a seat cushion airbag that is able to reduce a time lag between the generation of an impact and the upward deformation of the seat cushion airbag and is able to stably restrain the upper body of an occupant by means of a shoulder strap, and to provide a seat cushion airbag device including the seat cushion airbag.SOLUTION: A seat cushion airbag 11 is connected to an expansion fluid generation source 10 and is expanded and inflated by its being supplied with an expansion fluid therein, wherein: the seat cushion airbag is disposed in an area below a seat surface 93 of a seat portion 91 of a vehicle seat 90 and between a central part and a front-end part of the seat portion 91 in a front-rear direction; the seat cushion airbag has a side portion 11s between a top part 11t and a bottom part 11b thereof during expansion and inflation; and standing walls 20 vertically extending are provided in at least two opposite areas of the side portion 11s.SELECTED DRAWING: Figure 4