9 results about "First order system" patented technology

The invention discloses a control method of a virtual synchronous generator based on zero-pole assignment, equipment, a medium and a product, and relates to the technical field of new energy grid-connected converter control. Parameters of a proportional-integral controller, a feed-forward coefficient of an active power difference and a feed-forward coefficient of an active power set value difference are set; the zero point of the first active power transfer function is equal to the second pole of the active loop, and the zero point of the second active power transfer function is equal to the second pole of the active loop, so that the zero points are offset, and the first active power transfer function and the second active power transfer function are reduced into a first-order system, so that the parameter design is simpler; meanwhile, an active ring pole is determined through active customization adjustment time, then proportional-integral controller parameters are determined, a reactive ring integral coefficient is determined through reactive customization adjustment time, and therefore time can be customized flexibly.

The invention relates to the technical field of bipolar direct-current micro-grid control, in particular to a nonsingular fast terminal sliding mode control method for a bipolar direct-current micro-grid. The method comprises the following steps: firstly, fitting a control system into a first-order system model according to an active-disturbance-rejection theory, and converting the first-order system model into an active-disturbance-rejection control system normal form; secondly, designing an extended state observer according to the first-order system model, improving the state observer into a finite time extended state observer, and defining an error function; then, according to the error function, defining a non-singular fast terminal sliding mode surface; then, designing a non-singular fast terminal sliding mode control law according to the singular fast terminal sliding mode surface; and finally, according to the finite time expansion state observer, obtaining a final nonsingular fast terminal sliding mode active-disturbance-rejection control law based on the finite time expansion state observer.

The invention discloses a feed-forward type first-order ADRC controller optimization method and device, and belongs to the field of automation. A first-order ADRC system usually omits a transition link, and although the structure of the system is simplified to a certain extent and the calculated amount and the hardware cost of the system are reduced, the adaptive capacity of the system to abrupt change signals and noise interference is sacrificed. The invention provides an innovative improvement scheme. A feedforward link is additionally arranged behind a set value of a first-order linear ADRC system and serves as a transition link of the system. The method aims at making up for the defects of a first-order ADRC system in the aspects of interference resistance and response speed by referring to the advantages of a transition link in a second-order or higher-order ADRC system. By adopting the method provided by the invention, the dynamic response performance of the system can be obviously improved. Particularly, the response speed of the system is higher, the overshoot is smaller, and the system can keep better stability when facing sudden change signals and noise interference.

The application discloses an aero-engine thrust fast response redundant control method and system considering combustion delay, and belongs to the technical field of aero-engine control. The method steps are as follows: an open-loop transfer function L of main fuel flow and tail nozzle throat area respectively controlling thrust is established based on a desired thrust closed-loop bandwidth; a decoupling condition between the variable tail nozzle throat area and the thrust is set to eliminate the mutual influence between them; four undetermined RTM controller functions in the transfer function L are solved; the actuator transfer functions of the main fuel flow and the tail nozzle throat area are set as first-order systems for solving; system identification is carried out at an engine steady-state working point to obtain a transfer function of a difference between the main fuel flow and the tail nozzle throat area relative to a steady-state value to a difference between the thrust and the steady-state value; the transfer function L is solved, and then the RTM control is completed according to the transfer function L, so that the fast response control of the thrust is realized. The application solves the key technical problems in the prior art.

The application provides a virtual synchronous generator power and frequency decoupling control method, and belongs to the technical field of converter control. The application adds a differential feedforward control in a transfer function of active power tracking control of the virtual synchronous generator, reduces the active power tracking control to a first-order system, and enables the active power tracking control to quickly respond to a power instruction without overshoot. The application introduces proportional control, differential control and high-pass filtering in a transfer function of frequency support control of the virtual synchronous generator, eliminates a steady-state error caused by damping, improves zero-pole freedom of the frequency support control, eliminates coupling of the active power tracking control, and improves power output capability of the frequency support control.

The present application provides a design method, device, and storage device for an auto-disturbance rejection controller. The method includes: obtaining a second-order intelligent agent system, converting the second-order intelligent agent system into two first-order systems in series, transforming the second-order extended state observer into a reduced-order cascade extended state observer, determining the total disturbance of the intelligent agents in the second-order intelligent agent system, determining the workload of each intelligent agent based on sensors, designing a reduced-order cascade automatic disturbance rejection controller based on the total disturbance and the workload, and determining the convergence of the reduced-order cascade extended state observer based on the reduced-order cascade automatic disturbance rejection controller. By transforming the second-order extended state observer into a reduced-order cascade extended state observer and testing the reduced-order cascade extended state observer using a reduced-order cascade automatic disturbance rejection controller, the observed quantity and total disturbance of the system are determined. The robustness of the multi-agent system is improved, the impact of disturbances on the system is reduced, and the communication cost is reduced.

The present invention provides a grid-type wind power frequency regulation control method and system for improving rotor recovery speed, comprising: determining an extended state observer of a first-order system containing disturbances; determining a virtual synchronous permanent magnet synchronous direct drive motor rotor motion equation to obtain an expanded state equation; observing the expanded state equation using the extended state observer to obtain a disturbance estimate; defining a position tracking error variable of the control system, determining a sliding mode surface based on the tracking error variable, performing differential processing on the sliding mode surface, and determining an unknown dynamic term in a compensation system based on a result of the differential processing and a disturbance estimate; eliminating the influence of the estimation error of the extended state observer through an adaptive control term to be designed in the unknown dynamic term, observing and estimating internal and external disturbances of the system in real time through the extended state observer, and using the disturbance estimate as a compensation amount of a sliding mode controller, thereby improving the frequency regulation stability during the rotor recovery speed process.

The invention provides a jacketed reaction kettle predictive temperature control method and system based on a series model structure and separated parameter identification. Prediction model parameters adopt a real-time identification and updating strategy in a control process, and an oil bath controller and a reaction kettle heat transfer model in a series control system are respectively regarded as first-order systems, so that a series second-order prediction model is constructed; in real-time parameter identification, an intermediate signal is utilized, and parameter identification is executed on the two subsystems at the same time; a separated parameter identification strategy is adopted for the difference of the temperature response characteristics of the two subsystems. Compared with a traditional PID temperature control method, the method has the advantages that the robustness and the adaptive capacity are greatly improved, the model identification accuracy is improved by utilizing additional process information and a subsystem independent parameter identification method, and the problem of model mismatch generated when a jacketed reaction kettle faces a complex synthetic reaction system and experimental dynamic working conditions is solved.

The invention discloses a fullerene functionalized biosensor and a detection method thereof, relates to the technical field of biosensors, and can better describe the response process of the sensor by constructing and optimizing first-order and second-order system response models. Compared with a first-order system response model, the second-order system response model can more effectively simulate the nonlinear characteristics of the signals and the long-term stability of the system, especially when the change process of the signals is complex, the model can improve the prediction precision, and the reliability and stability of the system in practical application are ensured. In the process of adjusting the dynamic response model in combination with the response time Tx and the maximum change rate delta Imax, the system can perform real-time adjustment according to the change rate of the concentration of the target object and the response speed of the sensor. By optimizing the parameters, the system can better adapt to different experimental environments and dynamic conditions, and the adaptive capacity of the sensor in a complex environment is enhanced.