2results about How to "Improve adaptive adjustment ability" patented technology

This invention discloses a long-term hydrogen energy backup power system and control method for substations in coordination with UPS. The steps include: Step S1, system operation status monitoring and key parameter acquisition; Step S2, hydrogen production and energy storage control under normal operating conditions; Step S3, UPS instantaneous takeover under abnormal operating conditions; Step S4, hydrogen energy long-term backup power supply startup determination; Step S5, hydrogen energy long-term backup power supply startup and output preparation; Step S6, UPS and hydrogen energy long-term backup power supply power coordination access; Step S7, long-term backup power supply and key load hierarchical protection control; Step S8, abnormal operating condition monitoring and linkage protection control; Step S9, input power recovery identification and smooth system switchback; Step S10, backup power supply shutdown and system reset. This invention achieves a smooth transition from UPS instantaneous support to long-term hydrogen energy power supply for key loads in substations, improving the long-term power supply capacity, operational reliability, and low-carbon level of the backup power supply system.

This invention discloses a trajectory tracking control method and system based on UKF parameter estimation and ILC command optimization. Addressing the problems of low trajectory tracking accuracy and slow convergence caused by unknown models, time-varying parameters, and measurement noise in non-repeating time-varying systems, this invention uses unscented Kalman filtering to perform real-time filtering and parameter identification on the operating state data, estimating the system's time-varying parameters and the filtered state. Based on the filtered state, the tracking error is calculated, and the transfer matrix in the iterative learning control is dynamically updated using the estimated time-varying parameters to iteratively optimize the control commands. Simultaneously, the weight matrix and iteration step size are dynamically adjusted according to the rate of change of the time-varying parameters to generate the final control commands and drive the actuator. This invention deeply integrates UKF and ILC, achieving closed-loop linkage between parameter estimation and command optimization. It effectively suppresses measurement noise, adapts to non-repeating changes in system parameters in real time, and significantly improves the accuracy, convergence speed, and robustness of trajectory tracking.