5results about How to "Solve overshoot" patented technology

The invention relates to the technical field of digital twinning simulation, in particular to a digital twinning-based temperature and humidity verification box multi-physics field real-time monitoring method, which comprises the following steps of: constructing a digital twinning grid index system, and solving a no-load flow field by using CFD (Computational Fluid Dynamics) simulation to obtain reference turbulent energy; obtaining geometric data of a to-be-detected device, mapping the to-be-detected device to the digital twin grid index system by using a voxelization algorithm, and calculating a thermal inertia correction coefficient; the flow field is iteratively solved based on the thermal inertia correction coefficient, a source item is generated by applying the virtual resistance density and the turbulent energy, and real-time corrected turbulent energy is obtained through calculation; calculating a reliability weight according to the ratio of the real-time corrected turbulent energy of the grid unit where the sensor is located to the reference turbulent energy, wherein the reliability weight is in negative correlation with the ratio; and weighting the monitoring data by using the reliability weight to realize closed-loop control. According to the method, the problem of monitoring misalignment caused by flow field topology change is effectively solved, and the monitoring accuracy is improved.

This invention provides a high-precision anti-disturbance control method for UAV gimbals under transient impact loads, belonging to the field of precision servo control technology. It employs a cascade control architecture: the outer loop uses model predictive control (MPC) and introduces control increment constraints to plan an overshoot-free velocity trajectory; the inner loop uses linear active disturbance rejection control (LADRC) and establishes an extended state observer to estimate and compensate for the total disturbance of multi-stage transient impacts in real time. This invention, using the aforementioned high-precision anti-disturbance control method for UAV gimbals under transient impact loads, reduces the settling time to 0.18 s and lowers the maximum dynamic position error during firing to 0.0005 rad, achieving precise steady-state maintenance under high-impact environments.

The invention discloses a multi-section heating intelligent adjustment control system of a lining teflon elbow heating furnace, and belongs to the technical field of heating furnace temperature control. The system comprises a heating furnace partition sensing module, a partition temperature control execution module, an intelligent regulation and control decision module, a safety protection module and a man-machine interaction module. Multiple parameters are collected through a distributed sensing network, the position of an elbow in the furnace and operation data of the heating furnace are obtained through filtering weighting preprocessing, a temperature rise rate set value is dynamically compensated through a multi-temperature-zone collaborative scheduling unit, and then a regulation and control instruction is generated through a multi-section collaborative PID algorithm with feedforward compensation in combination with fuzzy self-adaptive correction logic. Interlocking type two-way regulation and control of heating and cooling of the Teflon-lined elbow heating furnace are achieved, and meanwhile a safety interlocking protection mechanism is matched. According to the invention, the problems of lag and overshoot of the traditional temperature control of the Teflon-lined elbow heating furnace are solved, the control precision of the sintering temperature of the Teflon-lined elbow heating furnace is improved, the sintering requirements of Teflon-lined elbows with different specifications are met, and the consistency of sintering quality is ensured.

The invention discloses a model prediction control method and system for a totem-pole PFC circuit, and belongs to the technical field of totem-pole PFC circuits, and the method comprises the steps: monitoring the input voltage of an AC power supply, the bus voltage of the totem-pole PFC circuit, and load demand information in real time; determining that the totem-pole PFC circuit works in a boost mode or a voltage-multiplying mode and driving signal distribution logic of each switch tube in the bridge circuit; calculating an optimal modulation ratio based on a model prediction control algorithm according to an error between the target bus voltage and the currently detected bus voltage; generating a first SPWM signal with a corresponding duty ratio and a complementary second SPWM signal according to the optimal modulation ratio; and distributing the first SPWM signal and the second SPWM signal to corresponding switch tubes to realize control of the bus voltage. According to the method, the SPWM duty ratio is dynamically adjusted through model prediction control, and rapid, accurate and stable control over the totem pole PFC bus voltage is achieved.

The invention discloses a carrying equipment path planning system based on multi-sensor fusion, and relates to the technical field of automatic control of carrying equipment. The method comprises the following steps: acquiring multi-source fusion data of an external sensor group; the structural response processing unit obtains structural response data in the operation process of the carrying equipment and generates a first correction matrix; the feature quantitative processing unit performs feature quantitative analysis on the multi-source fusion data to generate a first quantitative score and a unit direction vector in a multi-dimensional physical space; the instruction arbitration processing unit performs calculation based on the first correction matrix, the first quantization score and the unit direction vector to generate a first motion vector; the boundary verification processing unit obtains execution boundary data of the carrying equipment and corrects the first motion vector to generate a first control sequence; the signal output unit converts the first control sequence into a pulse width modulation signal and outputs the pulse width modulation signal. According to the method, the steady-state closed loop of the perception income and the execution boundary constraint is realized on the premise of maintaining the physical structure.