5 results about "Continuous feedback" patented technology

The application discloses a moving direction correction method of a bionic robot, and relates to the technical field of bionic robots.The method collects positioning parameters and attitude parameters of the bionic robot and sends the parameters to a control module.An error compensation module performs error self-checking, calculates an error factor, modifies the control law of the bionic robot, and sends the control law to the control module.The control module controls the movement of the bionic robot according to the error-compensated control law.A feedback module judges whether the bionic robot deviates from a target position according to the positioning parameters and the attitude parameters, sends feedback signals to the control module, adjusts the control law according to the feedback signals, and continues to control the movement of the bionic robot, and continuously feeds back and adjusts until the bionic robot reaches the target position and stops the movement control.The application can reduce system errors, improve stability and precision, has real-time feedback control and yaw detection capabilities, and improves the moving accuracy of the bionic robot.

The present application belongs to the technical field of waste plastic precipitation, and discloses a cleaning separation and precipitation tank for a waste plastic recycling system and a precipitation method; the method comprises the following steps: S3: based on feature data sets and real-time basic data sets, the precipitation effect in the next time period is predicted to obtain a predicted precipitation effect; S4: the predicted precipitation effect is compared, and a precipitation adjustment measure report is calculated based on the real-time basic data sets; S5: based on the precipitation adjustment measure report, a real-time control adjustment device is controlled, and the separation of waste plastics is adjusted in real time based on plastic density data; S6: actual turbidity data is obtained, error calculation is performed on the actual turbidity data and predicted turbidity data, and the prediction accuracy is adjusted in real time based on the turbidity error value; in general, the present application has the significant advantages of strong precipitation effect and energy consumption optimization balance ability, large operation cost saving effect, and good continuous feedback updating system effect.

This invention discloses a thermal resistance testing system and method for a thermistor, relating to the field of double-sided thermal resistance testing technology. The system includes an upper cavity and a lower cavity. The upper cavity includes an upper outer plate assembly and an upper inner plate assembly. An upper drive motor is mounted on the upper outer plate assembly, and an upper water-cooling assembly is installed inside the upper inner plate assembly. An upper cooling element and an upper heat-conducting component are sequentially mounted at the lower end of the upper water-cooling assembly. Both the upper outer plate assembly and the upper heat-conducting component are mounted on an upper pressure plate. The lower cavity includes a lower outer plate assembly and a lower inner plate assembly. A lower drive motor is mounted on the lower outer plate assembly, and a lower water-cooling assembly is installed inside the lower inner plate assembly. A lower cooling element and a lower heat-conducting component are sequentially mounted at the upper end of the lower water-cooling assembly. Both the lower outer plate assembly and the lower heat-conducting component are mounted on a download plate. The closed-loop system of this invention is a double-layer closed-loop system, enabling automatic calibration before testing, and continuous feedback results for more accurate testing.

This invention relates to the field of intelligent home appliance control and embedded system technology, specifically a microcontroller-based automatic speed control system for electric fans. The system includes a microcontroller, a sensor array, a motor drive module, and an electric fan motor. The sensor array collects multi-dimensional environmental time-series characteristic data such as temperature, humidity, and airflow resistance, and inputs this data into a preset edge computing prediction model to calculate the target speed control command. During model operation, underlying task scheduling data is extracted, quantified to generate a calculated oscillation entropy value, and compared with a preset computing power triggering threshold. When the entropy value is not higher than the threshold, the target speed control command is output; when the entropy value is higher than the threshold, the prediction model is suspended, and a degradation control strategy is invoked to generate a suboptimal speed control command. Finally, the output command adjusts the fan speed via the motor drive module, and continuous feedback from the sensors forms a closed-loop control, thus balancing environmental regulation effectiveness with microcontroller operational stability.