4results about How to "Eliminate Steady State Error" patented technology

The application relates to the technical field of heat exchange device control, in particular to an energy-saving control method and device for an industrial low-temperature air conditioner, which comprises the following steps: analyzing the correlation between an equivalent refrigeration load and the temperature on the air outlet side of an evaporator, combining the difference between the instantaneous temperature and the average temperature of the application area of the low-temperature air conditioner, constructing a first self-adaptive compensation factor, and correcting the proportional gain of a PID controller; analyzing the difference between the equivalent refrigeration loads at all adjacent moments to construct a second self-adaptive compensation factor and correct the integral gain of the PID controller; and generating a control instruction of the low-temperature air conditioner based on the corrected proportional gain and integral gain to dynamically regulate and control the temperature of the low-temperature air conditioner. The application dynamically corrects the PID parameters based on the load and temperature response characteristics, solves the problems of frosting, overshooting and high energy consumption caused by traditional control, and improves the energy-saving control effect and operation stability of the industrial low-temperature air conditioner.

This invention belongs to the technical field of robotic arm motion planning and discloses a robotic arm motion planning method and system based on an error-driven adaptive gradient model. The method includes: S1 establishing the joint velocity at two adjacent moments with respect to the adaptive coefficient λ based on a Lyapunov function. n The gradient relationship is obtained; S2. The joint velocity at time n+1 is calculated using the gradient relationship, and the error between the calculated joint velocity at time n+1 and the adaptive coefficient is updated using the central finite difference method; S3. n = n+1; return to step S2 until the joint velocities at all times are obtained; S4. The joint position is calculated using the relationship between the joint velocity and position; the velocity of the end effector is calculated using the robotic arm motion planning model and the joint velocities at each time, thereby realizing the motion planning of the robotic arm. This invention solves the problem of low computational efficiency in robotic arm motion planning.

This application provides a vehicle tire blowout control method, system, program product, medium, and device. The method includes the following steps: acquiring information about the blown tire wheel, the current target steering wheel angle, and the current yaw rate; calculating the target yaw rate based on a vehicle model using the blown tire wheel information and the current target steering wheel angle; calculating the steering wheel angle adjustment amount using feedforward control and feedback control of the yaw rate based on the current yaw rate and the target yaw rate; and controlling the vehicle to perform a steering angle equal to the steering wheel angle adjustment amount. The blown tire wheel information includes the wheel dynamics information of the blown tire wheel. This method improves the response speed and control accuracy of tire blowout control, and can comprehensively improve the driving stability and safety of the vehicle under tire blowout conditions.

This invention relates to the field of intelligent manufacturing and industrial quality management technology, and in particular to a management system for die-cast housings of new energy vehicles. The system includes a data acquisition module for periodically collecting production data, quality data, and production equipment data of the die-cast housings; a data analysis module for determining the defect type of the die-cast housings within a single cycle based on the average defect density and defect clustering index of the die-cast housings within that cycle; a traceability module for determining different traceability methods based on the defect type of the die-cast housings within a single cycle; and an adjustment module for adjusting the judgment parameters for the defect type of the die-cast housings within a single cycle based on the defect traceability accuracy. This invention, through automatic and accurate defect classification and differentiated traceability, quickly locates the root cause of problems, greatly shortens the problem response time, and reduces the generation of defective products.