41 results about "Networked control system" patented technology

The invention relates to the technical field of intelligent lighting, and discloses a multi-street-lamp digital power supply networked control system and a remote management method, and the system comprises digital power supply modules which are installed at each street lamp unit and are used for carrying out the power supply and real-time monitoring of street lamps, and each digital power supply module comprises a power factor correction unit, a real-time monitoring unit and an execution unit; the data acquisition module is used for acquiring voltage, current and power electrical parameters of each street lamp unit and acquiring external environment data of environment brightness, temperature and humidity through environment sensing equipment; the digital power supply module is adopted, reactive power is optimized through the power factor correction unit, electric energy loss is reduced, and the power supply efficiency of the whole street lamp system is improved. Compared with a traditional analog power supply system, the system has remarkable advantages in the aspect of energy efficiency, the digital power supply module can accurately monitor voltage, current and power, and the running state of the street lamp is optimized through real-time data feedback.

The invention relates to the field of safety control of a networked control system with communication constraints, in particular to a sampling controller design method based on state feedback of a networked control system. Comprising the following steps: constructing a random integral quadratic constraint operator on the basis of a networked control system based on an uncertain disturbance model to quantify uncertainty caused by sampling interval and false data injection attack and data packet loss; model transformation is carried out, and corresponding index stability conditions are given for a closed-loop system; analyzing the H-infinity performance index of the closed-loop system by using a random integral quadratic constraint operator and a KYP lemma; a two-stage heuristic solving iterative algorithm based on the state feedback controller is designed; the reliability and feasibility of the controller are verified through numerical simulation. The challenge brought by combination of false data injection attack and data packet loss is specifically solved.

Systems and methods for making and delivering personalized, medically prescribed pharmaceuticals to an individual patient are described. Individual unit doses (IUDs) of medicine may be prepared specific to the individual in need of same, by using a system, which includes a networked control system in combination with manufacturing assemblies specific to the IUDs and delivering the medicine to the patient directly from the manufacturer.

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.

A robot joint module and networked control system includes an actuator unit, a control unit, and a relay unit. The control unit includes a computing module, a power drive module, a signal acquisition module, an I / O module, a power supply module, a wired communication module, and a wireless communication module. The relay unit includes a communication bridge module and a drive relay module. This invention addresses the problem of restoring system capabilities by reconfiguring the electrical and control networks in the event of communication or drive failures, thereby improving the reliability of the robot system.

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.

The invention relates to the technical field of networked control systems, in particular to a network switching control method and system based on weighted edge dependency, and the method comprises the steps: firstly building a networked control system model containing uncertain items, and carrying out the optimization of the uncertain items based on a set packet loss number threshold value of the networked control system; switching signals are introduced into the networked control system model containing the uncertain items, and a continuous time linear switching system is established; designing a sampling controller based on the time-varying time-lag of each subsystem to be switched, obtaining the control input of the continuous-time linear switching system, and establishing a time-varying time-lag uncertain switching system; and carrying out weighting processing based on edge dependence on a plurality of subsystems to be switched to obtain weighted allowable edge dependence residence time of all other subsystems switched to a certain subsystem, switching the subsystems based on the weighted allowable edge dependence residence time and a set residence time threshold value, and switching all the subsystems to be switched to the certain subsystem according to the weighted allowable edge dependence residence time and the set residence time threshold value. When part of control input information of the networked control system is lost, normal operation of the system can still be ensured, and the network service quality is improved.

The invention relates to the technical field of operation control of a nuclear power station, and discloses a fault detection method for time delay compensation of an all-digital networked control system, computer equipment, a computer readable storage medium and a computer program product in order to solve the problem that a system fault detection result is inaccurate due to output time delay of a control system of a condensate water system. The method comprises the following steps: step 101, establishing a control object model of the nuclear power station condensate water system; step 102, discretizing the control object model according to a sampling period; step 103, based on the discretized control object model, establishing an observer with a time delay compensation function; step 104, analyzing the observer; step 105, solving a linear matrix inequality to obtain an observer gain matrix; step 106, defining an observer state estimation error, and analyzing to obtain an observer output error; and step 107, according to the observer output error, determining whether the nuclear power station condensate water system has a fault. By adopting the method, the accuracy of a fault detection result can be improved.

The invention discloses a data-driven predictive control method for a discrete networked control system, and belongs to the field of network predictive control. The invention discusses a data-driven predictive control problem of a network control system with communication delay and unknown model parameters; a new data-driven predictive control algorithm is designed by constructing a Hankel matrix so as to ensure the stability of a closed-loop system under the influence of network time delay. On the basis, a linear matrix inequality method based on a database is provided to design a networked prediction controller; a numerical example shows that the method can achieve an effect similar to that of a traditional method while actively compensating network time delay.

Disclosed are a general-purpose distributed networked control system architecture for an interventional medical surgical robot, and an interventional surgical robot. The core, i.e., a Remind middleware layer, in the architecture comprises a Remind interface module and a Remind service module; the interface module comprises a message communication interface, a hardware node registration interface, an anomaly uploading interface, and an anomaly processing interface; the service module comprises a local storage service, a message distribution service, and a communication service. Detected anomaly information is uploaded to the communication service by means of the anomaly uploading interface, the service sends the anomaly to all online hardware nodes by means of the message distribution service, and middleware of the hardware nodes promptly calls an anomaly processing function registered by means of the hardware node registration interface. Unified application layer development interfaces and services supporting a whole process from data storage to complex algorithm computation are used to provide different types of robot systems with mechanisms for establishing complex communication network topologies and anomaly interception mechanisms.

This invention discloses a method and apparatus for accurate disturbance prediction and compensation in networked control systems. It includes treating the impact of time delay on the networked control system and external disturbances together as a lumped disturbance, and establishing an equivalent input disturbance state-space model for the networked control system. This method and apparatus target networked control systems with external disturbances, time delays, and packet loss. Through an EID estimator, it effectively reduces the impact of time delay on the performance of the networked control system. A disturbance predictor based on multiple LSTM neural networks is designed to achieve accurate multi-step disturbance prediction, improving the disturbance suppression capability of the networked control system. Furthermore, a networked predictive controller is employed to compensate for the impact of packet loss on the performance of the networked control system in real time, even with continuous packet loss, using multi-step control input prediction values. This improves the control accuracy of the networked control system and meets the requirements of high-performance networked control systems.

The invention discloses a robot joint module and a networked control system. The robot joint module comprises an actuating unit, a control unit and a relay unit, the control unit comprises a calculation module, a power driving module, a signal acquisition module, an I / O module, a power supply module, a wired communication module and a wireless communication module; the relay unit comprises a communication bridge module and a driving relay module. According to the invention, the problem of realizing system capability recovery through reconstruction of electrical and control networks when communication and driving faults occur is solved, and the working reliability of the robot system is improved.

The application discloses an event-triggered random parameter perturbation networked system fault-tolerant control method and belongs to the field of networked systems; the application studies an integrated design strategy for fault estimation and fault-tolerant control of a networked control system with faults and random parameter perturbations under an event-triggered mechanism; on the basis of identification and fault estimation, a dynamic output feedback control law is reconstructed on line to correct and compensate for the control rate, so that the fault system can maintain the performance under normal operation as much as possible. The information transmission frequency at the sensor end is reduced through event-triggered sampling, and a corresponding fault observer is constructed to realize joint estimation of the system state and faults; then, based on the result of the augmented state estimation, an augmented system method is applied to complete the integrated design scheme of the fault observer and a dynamic fault-tolerant controller based on signal compensation, so as to reduce the influence of faults on the system performance; finally, the effectiveness of the method is verified through a simulation example of an unmanned aerial vehicle lateral device.

The present invention relates to the field of speech recognition control, and discloses a speech recognition control management method and system applicable to smart home appliances, comprising the following steps: performing networking configuration correction processing on all smart home appliances to obtain a smart home appliance networking control system, and performing audio processing on the collected environmental audio in the smart home appliance networking control system to obtain a target human voice audio, and finally performing audio recognition and control instruction conversion on the target human voice audio, so that the smart home appliance networking control system controls the networked qualified smart home appliances to operate in coordination according to the audio recognition results. The present invention can realize speech recognition control of smart home appliances, improve life efficiency in life, bring high efficiency and convenience to users, improve the quality of life, and also facilitate people with mobility difficulties, and reduce the danger of users using home appliances.

The invention provides a networked control system tracking performance optimization method and system, and relates to communication signal tracking control, and the method comprises the steps: building a two-degree-of-freedom networked control system model; according to the two-degree-of-freedom networked control system model, obtaining an output signal and an error signal of the two-degree-of-freedom networked control system; according to the output signal, co-prime decomposition based on a rational transfer function matrix, a Bezout equation and a Youla parameterization form of a two-degree-of-freedom controller are calculated; the error signal is simplified; calculating an optimal performance expression of the two-degree-of-freedom networked control system model according to the simplified error signal; the optimal performance expression is simplified; calculating an optimal tracking performance expression of the two-degree-of-freedom networked control system model according to the simplified optimal performance expression; and optimizing the tracking performance of the networked control system according to the optimal tracking performance expression of the two-degree-of-freedom networked control system model.

The application discloses an identity authentication method and system applied to a PLC system, wherein the PLC system comprises at least one monitoring device and at least one executing device connected with the monitoring device, each monitoring device and each executing device is solidified with a corresponding identity certificate; before the monitoring device and the executing device communicate, it is judged whether the monitoring device and the executing device are connected with an external third-party authentication device; in the case that the monitoring device and the executing device are connected with the third-party authentication device, the monitoring device and the executing device interchange the identity certificates, and the authenticity of the identity certificates is verified through the third-party authentication device; in this way, the devices in the PLC system are authenticated through digital certificates in a networked state, and are manually authenticated in a network interruption state, so that the security authentication between the devices in the PLC network architecture is realized, and the security of the networked PLC control system and the convenience of the identity authentication are effectively enhanced.

The invention discloses a disturbance prediction accurate compensation method and device for a networked control system, and the method comprises the steps: taking the influence of time delay on the networked control system and the external interference of the networked control system as lumped disturbance, and building an equivalent input interference state space model of the networked control system. According to the method and the device, for the networked control system with external interference, time delay and data packet loss, the influence of the time delay on the performance of the networked control system can be effectively reduced through the EID estimator. And a disturbance predictor based on a plurality of LSTM neural networks is designed, so that multi-step accurate prediction of disturbance can be realized, and the disturbance suppression capability of the networked control system is improved. And through the networked prediction controller, the influence of packet loss on the performance of the networked control system can be compensated in real time by using a multi-step control input prediction value under the condition that the data packets are continuously lost, so that the control precision of the networked control system is improved, and the requirements of the high-performance networked control system are met.

The present invention belongs to the field of automatic control technology, specifically, an event-triggered predictive control method in a networked control system, comprising the following steps: constructing a networked control system model based on a state space; constructing an event-triggered mechanism to determine whether to update current sampled data; constructing a Kalman filter based on the current actual output value; constructing a predictive control method for the networked control system model, and performing predictions based on a prediction algorithm; and achieving Schur stability of the system by forming a closed-loop system with the networked control system model, the event-triggered mechanism, the Kalman filter, and the predictive control method. The present invention not only adopts a predictive control method but also combines the event-triggered mechanism with the Kalman filter, thereby significantly reducing control costs, improving resource utilization, and ensuring the stability of the networked control system, while also solving the system's time delay and noise interference problems.

The invention discloses a method and device for stabilizing a networked linear stochastic system under continuous data packet loss, and the method comprises the steps: constructing a linear stochastic dynamic model of a networked control system with continuous data packet loss based on an Italian linear stochastic system; considering control input with sampling holding and substituting the control input into the linear random dynamic model to obtain a continuous time closed-loop system model with time-varying and time-lag; in order to process time-varying and time-lag in the continuous-time closed-loop system model, a packet loss probability model is constructed by jointly representing double indexes of the maximum continuous packet loss frequency and the packet loss probability; a Halanay inequality is popularized to a multiple time delay type; and on the basis of the packet loss probability model, the multiple time-delay Halanay inequality and the Lyapunov stability theory, obtaining specific parameter conditions of global asymptotic mean square stability of the networked control system so as to enable a balance point of a continuous time closed-loop system model to be global asymptotic mean square stability. According to the method, the problem of system instability of the networked linear random system under continuous packet loss is solved.

The invention discloses a networked control water supply system stability analysis method, and the method comprises the steps: building a control object model of a nuclear power plant water supply system, and obtaining the time delay in the networked control of the nuclear power plant water supply system; obtaining a discrete state space expression corresponding to the networked control of the water supply system of the nuclear power station based on the operation characteristics of the water supply system of the nuclear power station; based on the discrete state space expression, obtaining a z transfer function corresponding to the networked control of the nuclear power plant water supply system; and obtaining the networked control stability of the water supply system of the nuclear power station based on the maximum zero pole distribution of the z transfer function. The invention further discloses networked control water supply system stability analysis equipment and a corresponding storage medium. According to the stability analysis method for the networked control water supply system provided by the embodiment of the invention, the networked control stability of the nuclear power plant water supply system can be judged, and the design of the high-safety and high-reliability networked control system of the nuclear power plant is guided.

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 invention discloses a filtering and decoding joint iterative detection method and device for a network control system, and the method comprises the steps: calculating the prior probability of transmission data according to a control model and a filtering algorithm, and decoding a received signal; updating the prior probability of transmission data according to a decoding result and a filtering algorithm, and performing iterative detection on a received signal; and updating system output and control input based on an iterative detection result and a filtering algorithm. According to the filtering and decoding joint iterative detection method and device for the network control system, the fusion of communication and control is realized in the aspect of a bottom layer, the transmission error probability can be effectively reduced by utilizing the prior probability of a control model, and the transmission reliability is improved. Moreover, when a transmission error occurs, prediction of system output and control can be carried out, retransmission can be avoided, and the transmission time delay is effectively reduced. According to the method, the reliability and time delay requirements in an industrial scene can be effectively met.

The present invention discloses a joint optimization method of sensing, transmission and computing of a networked control system based on information timeliness, including the following steps: S1, constructing information timeliness models in resource independent allocation scenarios and resource sharing scenarios; S2, calculating generalized information timeliness, equipment transmission energy consumption and equipment computing energy consumption in resource independent allocation scenarios; S3, quantifying system performance and efficiency with equipment cost, establishing an optimization problem to minimize transmission and computing energy consumption while ensuring fairness, and maximizing information timeliness; solving the optimization problem to obtain the optimal sampling strategy and resource allocation strategy. The present invention jointly considers the three processes of data collection, transmission and computing in the information flow loop of the networked control system, derives information timeliness value indicators under different edge unloading modes, and designs perception strategies and communication and computing joint resource allocation schemes based on this to improve the overall performance and efficiency of the system.

The invention discloses an all-digital networked control system fault detection method and application, and relates to the field of control system fault detection, and the method comprises the steps: collecting original sensor data of a control system, carrying out the standardization processing, and outputting the standardized data; processing the standardized data through a transform self-attention mechanism to generate global features, performing feature enhancement on the global features by adopting a neural network, and outputting fusion features; generating a dynamic fault threshold by adopting learnable parameters and an exponential moving average algorithm according to the fusion features; and calculating the fault probability according to the dynamic fault threshold and the fusion feature. The method can solve the problems that the existing DCS fault detection coverage rate is low, and the algorithm has long-term dependence and lacks security demand dynamic adaptive capacity.

The present invention relates to a control method and logic structure of a smart grid AVC substation system interface, which is characterized in that: the smart grid AVC substation system is connected to the network control system NCS of a power plant to transmit analog control signals, and the smart grid AVC substation system communicates with the main station through the remote monitoring terminal RTU of the power plant to make full use of the original equipment of the power plant; the magnetic increase or demagnetization instruction of the gas-steam combined unit is input to the smart grid AVC substation system through the distributed control system DCS, and transmitted to the excitation regulator of the gas-steam combined unit; remote input and exit control, and magnetic increase or demagnetization logic interlocking are realized in the distributed control system DCS; operating parameters and alarm signals are sent to the distributed control system DCS, and a monitoring screen is set on the display CRT of the distributed control system DCS. It has outstanding substantial characteristics and significant technical progress such as simple structure, low cost, good compatibility, safety and stability.

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.

The invention relates to the technical field of information, and discloses a networking control system simulation platform design method and system. The method comprises the following steps of: establishing a networked control system model by utilizing matlab-simulink; aiming at the networked control system model, generating a model program; performing RTW compilation on the model program, the system target file and the compilation template file to obtain an intermediate model program; compiling the intermediate model program through a target language compiler to obtain a target code corresponding to an expected hardware environment; and compiling and linking the generated target code according to the compiling and linking file to obtain a target program. Therefore, a transmission medium of control information can be simplified, an iterative control algorithm can be quickly optimized, and a designer is freed from a manual code writing process and more focuses on and focuses on the design of a control system.

The present invention discloses a method for designing an intelligent control algorithm for an unmanned ground vehicle, comprising: constructing a networked control system NCSs and an event triggering mechanism based on integration; performing traffic compression under limited channel bandwidth; optimizing the triggering threshold based on machine learning; and estimating the performance error of the networked control system NCSs. The present invention proposes a new method for solving the security and reliability challenges of NCSs when facing DoS attacks.

Systems and methods for making and delivering personalized medical prescription drugs for individual patients are described. An individual unit dose (IUD) of a drug specific to an individual in need of treatment can be prepared by using a system that includes a networked control system in combination with manufacturing components specific to the IUD; and delivering the drug directly from the manufacturer to the patient.