10 results about "Networked control system" patented technology

The invention belongs to the field of industrial automation control, and particularly provides a control method of a networked control system adaptive to random time delay, an internal dynamic variable (IDV), a trigger threshold and an envelope function are introduced on the basis of traditional state feedback, the IDV is used for accumulating error information, the trigger threshold is used for determining whether to send data, and the envelope function is used for determining whether to send the data. The envelope function is used for limiting the change range of the IDV; compared with simple periodic sampling control and conventional SETM and TETM, the method has the advantages that triggering can be automatically adjusted according to state errors and changes of network time delay, and unnecessary communication is obviously reduced on the premise that system stability and control precision are guaranteed; meanwhile, the internal dynamic variable is moderately reset during each triggering through a partial reset strategy, so that unbounded growth and violent oscillation of the internal dynamic variable are avoided, and the robustness of the system to random time delay and external disturbance is enhanced.

The application belongs to the field of automation control, and particularly relates to a preset performance based adaptive backstepping sliding mode control method for a network control system, comprising the following steps: converting a nonlinear network control system model with uncertain time delay into a system model without uncertain time delay; defining a system tracking error index and a preset performance trajectory, and converting the constrained system tracking error index into a new unconstrained error index; defining a new system state error containing an intermediate virtual control signal, and performing coordinate conversion on the system model; designing a sliding mode function and a Lyapunov function, and estimating network disturbance by using an adaptive neural network function to obtain a system input signal control rate; the application effectively solves the time delay problem of the network control system without limiting the upper limit of the time delay or the time delay derivative by using the network disturbance concept, and completes the control of the system by designing a preset performance index, so that the dynamic and steady state performance of the system is ensured.

This invention discloses a self-triggered predictive control method for continuous-time networked control systems. The invention includes the following steps: first, constructing a model of the continuous-time networked control system; designing and solving a finite-time optimization control problem to obtain t. k The optimal control sequence at time t and t k The optimal cost function value at time t is obtained; then, candidate feasible control sequences at time t are constructed, and a feasibility analysis is performed on the finite-time domain optimization control problem at time t using the candidate feasible control sequences to obtain the feasible cost function value at time t; then, based on the feasible cost function value at time t and t k The deviation of the optimal cost function value at any given time is used to construct a self-triggering mechanism. Finally, the update time of the optimal control input sequence and the control input applied to the system are determined based on the self-triggering mechanism. This invention can effectively reduce the number of state updates of the controlled system, alleviate the computational burden on the controller and the communication burden on the communication network, while ensuring the control performance of the system.

The application relates to a kind of multi-channel networked control system asymptotic stability control law design method and system, comprising: establishing the first system model of networked control system with delay and packet loss simultaneously and equivalent expansion to the first system model to obtain the second system model;Establishing intermediate state and equivalent constraint condition to build the third system model;According to the expression of the control law designed by the third system model;Construct Riccati equation and obtain positive definite solution, substitute the positive definite solution into the expression of the control law, obtain the third system control law;Delete the channel information not transmitting information in the third system control law to obtain the first system control law;According to the first system control law, multi-channel information transmission can be carried out, so as to solve the problem of multiple transmission delay and random packet loss coexistence, improve the integrity of transmission information during channel transmission.

Compared with the prior art, the fuzzy H-infinity closed-loop control method for the implantable wearable medical equipment, provided by the invention, has the advantages that multiple types of network induction phenomena are innovatively coupled, and the fuzzy H-infinity closed-loop control method for the implantable wearable medical equipment is realized in a T-S fuzzy system communication network with parameter uncertainty and disturbance noise for the first time; meanwhile, dynamic quantization and random communication protocol (SCP) scheduling are considered, the limitation that multiple network induction phenomena are independently or partially considered in existing research is broken through, the method is more suitable for the scene of multi-class interference coupling in an actual networked control system, and the application range of a T-S fuzzy system in a complex network environment is expanded.

The invention discloses a data-driven switching type dynamic event trigger control method and device, and the method comprises the steps: constructing a convex optimization problem based on the measurable input state data of an offline open-loop system for an unknown linear networked control system under a denial of service attack; solving an optimal control gain matrix of the system based on the optimal solution of the convex optimization problem; deriving an expression of unknown parameters based on the optimal solution and the optimal control gain matrix; designing a switching type dynamic event triggering mechanism, and obtaining a preliminary constraint condition of a to-be-designed parameter in the switching type dynamic event triggering mechanism in combination with the expression of the unknown parameter under the condition of no denial of service attack; and aiming at the condition that the denial of service attack exists, on the basis of the initial constraint condition of the to-be-designed parameter, obtaining a sufficient condition for the index stability of the unknown linear networked control system, so that the closed-loop system model is exponentially stable at the balance point. According to the method, the problem of effectively reducing the communication load of the networked control system with unknown parameters under the denial of service attack is solved.

The present application relates to the technical field of aero-engine control, and particularly relates to a fault diagnosis method for an aero-engine networked control system, which comprises constructing a networked control system fault diagnosis architecture based on intelligent nodes, the networked control system fault diagnosis architecture comprising a plurality of sensor intelligent nodes and a plurality of actuator intelligent nodes, and a system layer diagnosis node; a sub-filter independent of each other is designed for each intelligent node, and a residual quantity and a fault estimation quantity corresponding to each intelligent node are obtained; whether the aero-engine networked control system enters a fault state is judged according to the residual quantity and the fault estimation quantity corresponding to each intelligent node; and a fault source is determined based on fault isolation and positioning of a minimization strategy. The present application performs robust fusion on multi-channel residual quantities, and constructs an adaptive diagnosis threshold based on a fault-free statistical baseline, so as to realize unified judgment of a fault occurrence, isolation and end process.

The present application relates to the technical field of aero-engine control, and particularly relates to a fault diagnosis method for an aero-engine networked control system, which comprises constructing a networked control system fault diagnosis architecture based on intelligent nodes, the networked control system fault diagnosis architecture comprising a plurality of sensor intelligent nodes and a plurality of actuator intelligent nodes, and a system layer diagnosis node; a sub-filter independent of each other is designed for each intelligent node, and a residual quantity and a fault estimation quantity corresponding to each intelligent node are obtained; whether the aero-engine networked control system enters a fault state is judged according to the residual quantity and the fault estimation quantity corresponding to each intelligent node; and a fault source is determined based on fault isolation and positioning of a minimization strategy. The present application performs robust fusion on multi-channel residual quantities, and constructs an adaptive diagnosis threshold based on a fault-free statistical baseline, so as to realize unified judgment of a fault occurrence, isolation and end process.

The application relates to the technical field of network security, and provides a dynamic event triggering fault detection method of a networked control system.The technical scheme steps of the application comprise the following steps of: S10, establishing a linear system model of the network control system; S20, establishing a fault detection filtering model; S30, describing denial of service and false data injection attack signals suffered by the network control system; S40, constructing a dynamic event triggering scheme; S50, designing a fault detection evaluation function; and S60, establishing a time delay residual system model to perform fault detection on the network control system.The application can effectively detect faults of the system by being applied to the network control system simultaneously affected by mixed network attacks and disturbances, can improve the effective utilization rate of the network channel, can reduce adverse effects of the network attacks and the disturbances on the system, and can maintain the stability of the system in a complex environment.