13 results about "Adaptive feedback control" patented technology

This invention relates to a robot multi-joint motion deviation feedback control system and method based on temporal CNN, belonging to the field of robot motion intelligent control technology. The system includes a multi-source temporal data acquisition module, a temporal data preprocessing module, a temporal CNN spatiotemporal feature extraction module, a multi-dimensional motion deviation calculation module, a hierarchical adaptive feedback control module, a robot motion execution drive module, and a standard motion calibration and storage module. The method includes steps such as standard motion temporal calibration modeling, real-time temporal data acquisition and preprocessing, temporal CNN spatiotemporal feature extraction, multi-dimensional motion deviation calculation, hierarchical feedback command generation, motion closed-loop correction, and cyclic regulation. By employing temporal CNN to extract both spatial and temporal features of the motion, combined with hierarchical feedback and temporal prediction mechanisms, the invention overcomes the shortcomings of traditional control methods, such as feedback lag and inaccurate deviation identification, thereby improving the robot's multi-joint motion control accuracy, response speed, and environmental adaptability.

This invention discloses an adaptive compensation control method for uneven settlement in soft strata, belonging to the field of settlement control in geotechnical engineering. The method involves collecting distributed micro-strain field and pore water pressure gradient data at the bottom of the foundation in the soft strata and inputting them into a stratum rheological evolution prediction model. Multi-scale spatiotemporal features are extracted using a spatiotemporal attention coding module to generate a stratum creep trend vector. The equivalent modulus correction coefficient is calculated using a virtual stiffness reconstruction algorithm to generate a dynamic stress wave excitation parameter set. Coherent stress beams are emitted using microarray actuators embedded in the bearing layer interface, and a dynamic stress-locking zone is constructed through constructive interference to form a virtual rigid support. The excitation parameters are corrected through a dual-loop adaptive feedback control mechanism combined with a heuristic optimization algorithm until the micro-strain field returns to uniformity. Simultaneously, energy dissipation monitoring and safety mechanisms are added to mitigate the risk of soil liquefaction. This invention achieves active suppression and adaptive compensation for uneven settlement in soft strata, improving the accuracy of settlement control.

This invention relates to the field of UAV spraying and discloses an adaptive compensation method, system, device, and medium for live-line spraying of anti-flashover coatings on UAVs. The method includes establishing a flight reference coordinate system and a dynamic model of the UAV's flight attitude under disturbance; analyzing the external environmental loads and internal mass changes of the UAV based on the dynamic model to obtain the total disturbance; constructing an adaptive feedback control network to obtain a compensation control quantity to offset the impact of the total disturbance on the UAV's flight; and dynamically updating the controller gain and the adaptive feedback control network based on the real-time estimated disturbance state to achieve active disturbance rejection flight control. This invention dynamically updates the controller gain and provides feedback compensation for disturbances caused by external environmental load disturbances and changes in the UAV's internal mass, thereby achieving active disturbance rejection and adaptively adjusting flight stability, ensuring the safety of live-line spraying of anti-flashover coatings on UAVs.

The application discloses an intelligent online liquid-phase analysis system, which comprises an optical sensing unit and an intelligent control and processing unit, the optical sensing unit is used for emitting a light beam to a sample liquid and collecting original light intensity signals of transmitted light and at least two angle scattering lights and an original light source intensity signal, the intelligent control and processing unit comprises a data acquisition module, a data preprocessing module, a multi-source data fusion inversion module, a system health state self-diagnosis module and an adaptive feedback control module, the data acquisition module is connected with the optical sensing unit and is used for receiving the original light intensity signals and the original light source intensity signal and converting them into digital signals.The application has the beneficial effects that the problems of isolated data processing, low intelligentization, and inability to identify non-sample factor interference in the prior art are solved, and the accuracy, reliability and long-term operation stability of online liquid-phase analysis are greatly improved.

The application relates to the technical field of big data processing and distributed computing, in particular to a distributed big data batch processing optimization method based on SpringBatch, which comprises the following steps: multi-dimensional entropy analysis and fragmentation: performing random pre-sampling calculation key value information entropy, dynamically adjusting histogram bucket number, and establishing a dynamic fragmentation strategy based on a work-stealing mode; self-adaptive feedback control: collecting JVM heap memory usage, dynamically adjusting data grabbing size by using an incremental PID algorithm and a variable step limiter, and forming a self-adaptive back pressure mechanism; zero copy and reuse: performing zero copy conversion by using off-heap memory mapping, and reducing object creation frequency by using object pool reuse technology; asynchronous submission and fault tolerance: combining and submitting large transactions based on an asynchronous disk brushing strategy, and performing hierarchical retry operation; the application realizes statistical perception self-adaptive control of a batch processing process, and significantly improves system throughput and data consistency.

This invention relates to the field of smart grid technology, specifically a method and system for quantum time-frequency synchronization in distribution network areas. The method includes: deploying a master reference unit on the distribution transformer side to generate a high-precision reference time signal and distribute entangled photon pairs within the distribution area; deploying multiple slave node synchronization units on each smart terminal device to receive entangled photon pairs and record photon arrival times; calculating the real-time quantum clock difference between each slave node and the master reference unit using the coincidence counting principle; taming the local CPT atomic clock using an adaptive feedback control module based on the quantum clock difference to achieve time synchronization with the master reference unit; and monitoring the status of the distribution network communication network in real time, automatically switching between closed-loop control mode and open-loop hold mode based on the network status. This invention achieves highly reliable and accurate synchronization of distribution network areas without relying on the public network, possesses anti-spoofing attack capabilities, and provides a secure and accurate time reference for distribution network equipment.

This invention discloses a conductivity adjustment system for a dialysis mixing device, including an RO water flow sensor, a B-liquid conductivity sensor, a dialysate conductivity sensor C, an RO water pump, a B-liquid infusion pump, an A-liquid infusion pump, a B-liquid feedforward controller, a dialysate feedforward controller, a B-liquid parameter adaptive PID feedback controller, and a dialysate parameter adaptive PID feedback controller. Employing a feedforward + feedback control strategy to adaptively adjust parameter variables during the mixing process, this patent enables large-scale automated mixing of dialysate.

An adaptive gas mixture controller system. A pulse oximeter interface receives pulse oximeter data. A gas blender interface communicates with a separate externally connected gas blender. A processor receives pulse oximeter data via the pulse oximeter interface and outputs data to the gas blender interface for adaptive feedback control of the gas mixture based upon the SpO2 level signals from the pulse oximeter interface. When the processor receives data from the gas blender indicating that the gas mixture has been manually changed, enters a manual override mode and halts sending adaptive feedback control signals to the gas blender. This abstract is not to be considered limiting, since other embodiments may deviate from the features described in this abstract.

This invention discloses a reverse vibration suppression method for reciprocating pump pipelines based on a joint control algorithm. First, pipeline vibration data is acquired through simulation and experimentation, and a GRU neural network model is trained to predict vibration trends based on real-time operating conditions and output pre-control signals in advance. This drives a three-axis vibration suppression actuator to generate a reverse force for initial active suppression. Then, based on feedback of the remaining vibration data after suppression, fuzzy PID adaptive control is employed to adjust the proportional, integral, and derivative parameters online in real time, generating a precise control voltage for secondary fine-tuning of the remaining vibration. This invention combines the intelligent predictive feedforward control of the GRU neural network with the adaptive feedback control of fuzzy PID, forming a closed-loop control strategy of "prediction-initial suppression-feedback-fine-tuning." This significantly improves the vibration suppression accuracy, response speed, and system stability of the reciprocating pump pipeline, effectively reducing pipeline fatigue and leakage risks, and ensuring the safe and long-term operation of the system.

This disclosure provides an online particle concentration monitoring device and system for photoresist production, belonging to the field of online particle concentration monitoring technology. The device includes a chassis; a light scattering sensor is installed at the inlet end of the chassis, and a dynamic pressure sensor is installed at the outlet end. A data processing module and an adaptive feedback control module are installed inside the chassis, and an actuator is mounted on the chassis for adjusting the inlet and outlet ends. The data processing module is electrically connected to the light scattering sensor, the dynamic pressure sensor, and the adaptive feedback control module, respectively, and the adaptive feedback control module is electrically connected to the actuator. This online particle concentration monitoring device for photoresist production achieves real-time online dynamic non-destructive monitoring, enables multi-parameter correlation analysis, improves monitoring accuracy and efficiency, and enhances photoresist production quality.

This invention relates to the field of polymer material extrusion molding technology, and proposes a precise dimensional control process for guardrail profiles. It aims to solve the problems of lag in control response, insufficient accuracy, and poor adaptability caused by significant time delays in the extrusion process, strong coupling between multiple dimensions, and complex error modes in existing technologies. The invention achieves this by constructing a digital twin model integrating material rheological properties and process dynamics for feedforward prediction and compensation; using 3D contour scanning to acquire dimensional information in real time, and intelligently identifying error modes through a fuzzy logic classifier; combining feedforward compensation and mode-adaptive feedback control, and employing a multi-constraint collaborative optimization algorithm to solve for the optimal collaborative action commands of each independent fine-tuning actuator. This invention achieves proactive, precise, and coordinated control of the multi-dimensional dimensions of profiles with complex cross-sections, improving dimensional consistency, system response speed, and robustness to process fluctuations, and has significant industrial application value.