10results about How to "Ensure control" patented technology

The invention discloses a dynamic event triggering preset time fault-tolerant control method considering a non-affine fault. The method comprises the following steps: carrying out online approximation on an unknown nonlinear term in a dynamic decoupling model by adopting a fuzzy logic system to obtain an optimized system model; constructing a segmented preset time performance function, and introducing an instruction filter based on a dynamic surface control technology to process a virtual control signal of the constructed adaptive virtual control law so as to obtain a filtering error; constructing a dynamic signal compensation mechanism based on the filtering error in combination with a sectional preset time performance function, and obtaining a compensated final tracking error; and constructing a dynamic event triggering mechanism to obtain a final fault-tolerant controller, and realizing dynamic event triggering preset time fault-tolerant control considering the non-affine fault according to the final fault-tolerant controller. According to the method, the technical problems of uncontrollability of convergence time, influence of actuator faults and nonlinearity on control performance and limitation of communication and computing resources in the existing method are solved.

The invention relates to a pseudo-random high-frequency quarter sinusoidal signal injection method and system for permanent magnet synchronous motor sensorless control, and belongs to the technical field of motor control. The method aims at solving the problems that noise is remarkable, torque ripple is aggravated and rotor position estimation precision is limited due to signal injection during zero-low-speed operation of a traditional high-frequency injection method. According to the technical scheme, the method comprises the following steps: constructing a pseudo-random high-frequency windowing quarter sine injection signal to suppress noise and torque ripple; high-frequency response current containing rotor position information is obtained through Clark transformation and Park transformation; designing a layered second-order generalized integrator band-pass filtering method to accurately extract position signals; and a cosine delay elimination normalization demodulation method is provided to eliminate the influence of the delay effect. According to the invention, synchronous improvement of noise suppression, torque ripple attenuation and rotor position estimation precision is realized, and the system stability and reliability are significantly enhanced.

The invention discloses an embedded frameless torque servo motor, and relates to the technical field of frameless motors, the embedded frameless torque servo motor comprises an embedded frameless torque servo motor stator body, and the interior and the bottom of the embedded frameless torque servo motor stator body are respectively provided with a self-inspection early warning mechanism and a mounting mechanism; according to the invention, after the stator body of the embedded frameless torque servo motor is started, a controller can start an electric push rod, the electric push rod enables a mounting box to be close to a rotor body, and a detection separation blade is automatically attached to the inner wall of the stator of the motor and the outer wall of the rotor body, so that the consistency of measurement references is ensured; the gear ring and the mounting box are driven to rotate around the rotor body, so that the detection separation blade can detect the air gap around the whole rotor body, the detection range is ensured to cover the whole air gap area, local errors caused by fixed detection points are avoided, and the detection accuracy is improved.

The invention relates to the technical field of motor control, in particular to a permanent magnet motor model predictive current control method based on a current source type inverter. Comprising the following steps: collecting the operation state quantity of a motor system, and carrying out Park conversion to obtain an operation measured value; according to the operation measured value, an alternating current side parallel filter capacitor branch model and a permanent magnet synchronous motor mathematical model are established, a unified discrete prediction model is constructed, and an inverter output current vector and a capacitor current in the next period are obtained through calculation; constructing a capacitance current steady-state reference component and a capacitance current deviation component; and constructing a cost function, selecting an output current vector with the minimum cost function as an optimal control vector of the current control period, and generating an inverter switch driving signal to drive CSI to operate. According to the method, stator current tracking and alternating current side oscillation suppression are considered at the same time under a unified prediction model framework, and compared with a traditional strategy, the dynamic response speed and the steady-state waveform quality can be better considered.

The invention discloses an intelligent monitoring system for an AIPFIMS plasma furnace. The intelligent monitoring system comprises the following steps: step 1, configuring a corresponding sensor; step 2, data analysis and processing; step 3, remote monitoring and control; 4, intelligent early warning and alarming are carried out; and 5, automatically adjusting and optimizing. In addition, trend analysis and prediction can be carried out according to historical data and real-time data through the data processing module, and the performance change and possible faults of the plasma furnace can be predicted in advance.

The application discloses a multi-four-rotor safety formation control method and system based on event triggering and anti-self-locking, and the multi-four-rotor safety formation control method comprises the following steps: establishing an underactuated four-rotor unmanned aerial vehicle dynamics model under external uncertainty, establishing a multi-four-rotor unmanned aerial vehicle formation, constructing an expected formation trajectory model, and designing multi-four-rotor unmanned aerial vehicle collision avoidance constraints; designing an outer loop formation controller based on event triggering; generating expected angular velocity and angular acceleration of the four-rotor unmanned aerial vehicle by using a designed differential flatness method; and designing a Lie algebra attitude controller for realizing global attitude stabilization and compensating for attitude uncertainty in a limited time. The application adopts a control barrier function to realize safety constraints, including collision avoidance and direct collision avoidance of robots, so as to avoid self-locking of an output of the control barrier function due to falling into a local optimum, and further avoid failure of the safety formation. The application proposes an event-triggered control barrier function to solve the self-locking problem.

The invention provides a construction method of credible data service for hydroelectric power generation industry, which comprises the following steps of: constructing a credible data space, establishing a data model by collecting metadata of a multi-service system, and carrying out classification and differential encryption; a controllable data service is generated, a single-table and multi-table association interface is automatically generated based on a data model or an interface is generated through a custom SQL, and a row-column level permission is configured to control a data range; dynamic service authorization: generating a dynamic key based on role configuration calling times and a validity period, and encrypting access parameters; and service monitoring and tracing: monitoring service node resources and calling behaviors, and recording a calling message for tracing. According to the invention, through the establishment of the trusted data space, the generation of the controllable data service, the dynamic service authorization and the service monitoring traceability, the whole process of integration, governance and service sharing of the hydroelectric data is safe and controllable, and the problems of data islands, weak safety and framework rigidity are effectively solved.

The invention discloses a predictive current control method, device and equipment for a permanent magnet hub motor and a medium, and relates to the technical field of vehicle control, and the method comprises the steps: obtaining prior input voltage data and prior output current data of a preset length, and converting the prior input voltage data and the prior output current data into a Hankel matrix form, and taking the prior input voltage data and the prior output current data as prior data; jointly representing the trajectory to be predicted, the decision vector, the initial trajectory and the prior data as a data prediction model of a complete input and output trajectory; constructing a cost function and a data prediction model, converting the cost function and the data prediction model into a quadratic programming function configuration, and solving the quadratic programming function to obtain a reference voltage vector; and carrying out cost function evaluation on the candidate voltage vector so as to obtain an optimal voltage vector through screening to act on the motor. According to the method, the problem of uncertainty of parameters can be effectively solved, the robustness of a motor system is improved, and meanwhile, the number of to-be-evaluated voltage vectors can be effectively reduced, so that optimization of calculation efficiency is realized.

This application discloses an automated vehicle window ventilation and temperature regulation method and system based on fuzzy control, belonging to the field of automated vehicle window control technology. The method includes: real-time acquisition of in-vehicle and out-of-vehicle environmental data, preprocessing to obtain preprocessed in-vehicle and out-of-vehicle environmental data; inputting the preprocessed in-vehicle and out-of-vehicle environmental data into a fuzzy control system to construct a fuzzy rule base for the fuzzy control system; optimizing the fuzzy control system based on the Zebra optimization algorithm and the preprocessed in-vehicle and out-of-vehicle environmental data to obtain an optimized fuzzy control system; and dynamically adjusting the opening and closing degree of the vehicle window through a window motor actuator using the optimized fuzzy control system based on subsequently obtained in-vehicle and out-of-vehicle environmental data. This application, based on in-vehicle and out-of-vehicle environmental data and combined with a fuzzy control system for optimized control, overcomes the shortcomings of existing technologies in complex environment adaptability, multi-objective optimization capability, and global convergence performance, achieving efficient and precise vehicle window ventilation and temperature regulation.

The formula machine reactor comprises a reaction tank, feeding pipes are arranged at the three ends of the outer side of the reaction tank in a penetrating mode, a connecting shell is arranged at the tops of the feeding pipes in a penetrating mode, a feeding opening is formed in the top of the connecting shell in a penetrating mode, and a fixing frame is fixedly connected to the interior of the connecting shell. According to the present invention, the connecting shells, the feeding pipe and the feeding opening are mounted at the three ends of the top of the reaction tank, such that the batch feeding of a variety of materials can be achieved, and the weighing box, the weighing sensor and the fixing frame are mounted in each connecting shell so as to weigh the materials; therefore, a worker can control the dosage of each formula in the activating agent mixing process, and the reaction effect of the whole device is improved.