13 results about "Closed loop response" patented technology

The application provides a PI controller parameter setting method and device, relates to the technical field of automation control, is applied to a PI control system, the PI control system comprises a PI controller and a controlled object, and the method comprises the following steps: acquiring a characteristic response curve corresponding to the controlled object; acquiring a first-order inertia delay model by using a square difference integral minimum processing method according to the characteristic response curve; and determining target parameters corresponding to the PI controller according to a first formula acquired in advance through the first-order inertia delay model, so that the dynamic performance of a closed-loop response curve reaches an optimal state. The application finds optimal parameters by using the distribution of root loci on the real axis, realizes the optimal dynamic performance of the closed-loop response curve, and endows controller parameter setting and design with clear physical meanings.

The present application relates to the field of power system control and power electronic energy storage technology, in particular to a generator set transient power compensation system and method thereof, the method comprising: collecting stator voltage, stator current, rotor angular velocity, power angle and DC bus voltage, and mapping into a generalized state vector; constructing a port-controlled Hamilton system model containing an initial interconnection matrix and an initial damping matrix based on preset physical parameters and obtaining a Hamilton energy function; taking partial derivative of the Hamilton energy function with respect to the generalized state vector, calculating an energy gradient vector, dynamically reconstructing a virtual interconnection matrix and a virtual damping matrix, analyzing control input and converting into a duty cycle command to send to an energy storage converter to perform transient power compensation; the system comprises a data acquisition module, a Hamilton energy controller and an energy storage converter; faster transient recovery, lower mechanical stress and more stable closed-loop response can be achieved.

The application discloses a kind of real-time pre-support steel structure for foundation pit construction and construction technology, and relates to the technical field of foundation pit support construction, comprising first steel support mechanism, second steel support mechanism, H-shaped steel vertical connecting rod, the first steel support mechanism is rotatably connected with second steel support mechanism by two groups of H-shaped steel vertical connecting rod.The first steel support mechanism and the second steel support mechanism are formed into a linkage whole by the hinged mechanism and the H-shaped steel vertical connecting rod, the ground is assembled once, without secondary lifting, avoid additional load on the edge of pit, save high-altitude work platform erection, process is more simple, construction is safer, with the help of support articulated joint and jack, the length of support is accurately adjusted and prestress is applied, cooperate with servo system to monitor and dynamically compensate axial force and position in real time, form force control and position control double closed loop, response is fast, precision is high, completely solve the problem of traditional support axial force adjustment lag, deformation out of control.

The application discloses a network access active defense control method and system. A network layer-terminal layer-power layer multi-source data pool is constructed, and multi-dimensional data is captured through probes and collectors. Time and space normalization is realized by using a sliding window interpolation method and IP network segment division. The LSTM model is used to learn normal traffic patterns, and the improved isolated forest algorithm is used to identify abnormalities, and an attack situation label set is output. The network is divided into three scenes of core area, edge area and hub area, and the abnormal coupling relationship is analyzed. The path node deviation is extracted, the deviation level sequence is constructed, and the defense situation number chain is established. The outstanding abnormal mode is determined through statistical analysis, and is mapped to the defense action strategy table to generate a standardized defense instruction, so that the closed-loop response from abnormal detection to accurate defense is realized, and the controllability and recovery efficiency of the network situation are improved.

This invention proposes an intelligent flood control monitoring system for substations based on 3D digital twins and multi-source sensing fusion. The system includes a 3D digital twin model construction module, a multi-source data acquisition and fusion module, an AI intelligent analysis engine, a dynamic flood control plan management module, and a closed-loop emergency response control module. The system constructs a full-chain, intelligent, and closed-loop substation flood control monitoring system through 3D digital twins, multi-source sensing fusion, AI intelligent analysis, dynamic plans, and closed-loop response technologies. The system is implemented through data acquisition, AI analysis, plan triggering, automatic execution, and closed-loop feedback, solving problems such as incomplete sensing, delayed response, and reliance on manual decision-making in existing systems. The system combines substation operation information with artificial intelligence algorithms to achieve panoramic visualization of flood conditions, intelligent early warning, dynamic simulation, automatic linkage, and closed-loop handling, thereby improving the intelligence level of substation flood control.

The application discloses a data center monitoring and early warning system and method based on big data analysis, which is composed of a sensor data acquisition module, a log data conversion module, a multi-dimensional feature fusion module, a state intelligent diagnosis module and an early warning response processing module. The application builds a core processing chain of intelligent monitoring of the data center, forms a collaborative optimization system of data acquisition-feature fusion-intelligent diagnosis-closed loop response, and significantly improves the capturing ability of transient anomalies and compound fault modes through environmental mutation capture and log semantic enhancement technology at the data input end. The overall technical architecture realizes autonomous optimization through online model evolution and elastic resource scheduling, so that the data center monitoring and early warning system has the core ability to continuously adapt to complex operating environments and equipment performance degradation, and finally achieves the triple improvement of fault early warning foresight, resource allocation efficiency and system operation economy.

This invention discloses an implantable closed-loop neuromodulation system and method, relating to the field of neuroengineering, aiming to solve the problems of poor electrode adaptability and slow closed-loop response in existing implantable neuromodulation systems. The system includes intracranial electrodes, a one-to-one matching adapter plate for adapting different electrodes, a feedthrough component, and an implantable host fixed to the skull surface. The processing unit within the host decodes neural signals in real time within 10 ms to determine the brain state; if an abnormality is detected, the stimulation output unit selects a pattern from a preset safe stimulation pattern library to generate stimulation commands for intervention. This application achieves multi-electrode adaptation through the adapter plate and millisecond-level closed-loop response through high-speed processing, improving the timeliness and accuracy of intervention and enhancing safety.

This invention relates to the field of multi-parameter detection and control technology for industrial wastewater, solving the technical problems of insufficient detection accuracy, weak data modeling generalization ability, lack of adaptive optimization of control strategies, and lag in system closed-loop response caused by multi-parameter coupling interference in existing technologies. Specifically, it relates to an adaptive control treatment method and system for industrial wastewater based on quantum sensing. The method involves acquiring multi-dimensional data at a first preset node in the industrial wastewater treatment process and performing data fusion processing; generating an adaptive control strategy based on preset optimization objectives; issuing control commands to actuators at a second preset node to adjust the corresponding control variables; and correcting the adaptive control strategy based on the deviation between feedback data and preset target values. This invention achieves trace-level detection of multiple parameters in industrial wastewater, real-time response to sudden changes in operating conditions, and adaptive control with multi-objective optimization, adapting to complex wastewater treatment scenarios in multiple industries such as chemical, electroplating, printing and dyeing, and pharmaceutical.

This application discloses a method, apparatus, and electronic device for handling stray currents in subways. In this embodiment, based on each acquired multi-source heterogeneous data, a large coupled analysis model is used to determine the expected DC bias current value intruding into the neutral point and the predicted annual corrosion rate values ​​of multiple preset metal components. If the DC bias current value exceeds the preset current value, a control command is generated to activate the neutral point capacitor DC blocking device. If the predicted annual corrosion rate value of a certain preset metal component is greater than the preset rate value, an adjustment command is generated to increase the drainage intensity of the section corresponding to the preset metal component. This control strategy realizes a closed-loop response mechanism from risk prediction to active protection, significantly improving the operational safety of urban rail transit and adjacent power facilities in complex electromagnetic environments and the long-term durability of infrastructure.

This invention belongs to the field of data supervision technology, and specifically relates to a supervision method and system for the market-oriented allocation of data elements. The method includes the following steps: constructing a standardized encapsulation unit for cross-domain data assets; performing semantic parsing and protocol adaptation on the original data assets based on a global semantic modeling module for the data network, a dynamic protocol conversion middleware, and a lightweight service encapsulation framework; and generating a cross-domain data asset encapsulation package containing a unified digital identity. This invention uses a unified digital identity as an anchor point, connecting five stages: semantic modeling, dynamic hierarchical classification, intelligent registration, spatiotemporal evidence storage, and closed-loop supervision. It can eliminate multi-source ambiguity, achieve scenario-adaptive hierarchical classification, improve mapping accuracy by 30%–40%, generate traceable chain-like evidence storage, and achieve millisecond-level closed-loop response through an event bus, comprehensively improving the credibility, real-time performance, and full-chain controllability of the market-oriented allocation of data elements.

This invention discloses a single-phase virtual synchronous machine (VSG) control method with optimized dynamic characteristics, comprising: constructing two sets of orthogonal signals of voltage and current using the SOGI power measurement loop, and calculating the average active power and reactive power; based on the nonlinear and time-varying characteristics of the SOGI single-phase power calculation loop, using a system identification method based on N4SID and PSO algorithms to fit the optimal linearized transfer function of the SOGI power calculation loop; establishing a state-space model of the single-phase VSG system based on the optimal linearized transfer function, and realizing single-phase virtual synchronous machine control through partial state feedback pole configuration. The SOGI power measurement loop linearization method based on system identification in this invention aims to optimize the active closed-loop response characteristics of the single-phase VSG, eliminate low-frequency oscillations, and maintain fast dynamic response capability, and on this basis, performs a precise pole configuration scheme for the single-phase VSG closed loop.