8results about How to "Achieve stability control" patented technology

The invention discloses a preparation method of an ester polycarboxylic acid water reducer, and belongs to the technical field of concrete admixtures. The preparation method of the ester polycarboxylic acid water reducing agent comprises the following steps: under an alkaline condition, carrying out free radical polymerization reaction on a polyether macromonomer and an unsaturated carboxylic acid monomer under the action of a chain transfer agent A, a chain transfer agent B and an initiator, continuously adding a catalyst, and carrying out dehydration esterification reaction under the action of the catalyst, so as to prepare the ester polycarboxylic acid water reducing agent, the polyether macromonomer is monohydroxy polyether of which the molecular weight is between 500 and 5000; the chain transfer agent A is one of acetone, isopropanol, sodium hydrogen sulfite, sodium hypophosphite, sodium formate and the like; the chain transfer agent B is one of mercaptoethanol, mercaptopropanol, mercaptoacetic acid, mercaptopropionic acid and the like; the catalyst is a phosphonic acid compound with hydroxyl or amino. The preparation method is simple in process and low in energy consumption, and the prepared ester polycarboxylic acid water reducer product is excellent in performance.

The invention relates to an H-infinity control method of a multi-drive servo system based on event triggering, which comprises the following steps of: establishing a multi-drive servo system model with interference, decoupling the interference, and establishing an optimal value function of the system under a time triggering mechanism; performing system identification on the system model by using the identification neural network to obtain an identification system model based on the neural network; based on an event triggering mechanism, judging whether an error triggered by an event violates a set threshold value, if not, not updating the controller, and if yes, updating the controller by using an optimal control strategy obtained by calculation to cope with the interference under the worst condition and complete the H-infinity control process; wherein the process of obtaining the optimal control strategy and the worst interference strategy obtained by calculation comprises the step of approaching an optimal value function by using a criticality neural network to obtain a final control strategy and a final interference strategy. Compared with the prior art, the method has the advantages that the accuracy of system state prediction is improved, and meanwhile waste of computing resources is reduced.

The invention provides a vibration suppression control method and system for a large-span rope-driven flexible mechanical arm, and the method comprises the steps: carrying out the vibration suppression control for the flexibility of an arm rod and the elasticity of a rope of a rope-driven robot, solving the problem of the flexibility of the arm rod through a hypothesis modal method, and giving a mathematical model of the rope-driven robot containing a rope mapping joint; and a terminal sliding mode control method is used for carrying out control simulation verification on the large-span flexible rope-driven robot under the on-load condition. The technical problem that in an existing rope-driven robot model, the tracking error is large due to the fact that the flexibility of an arm lever, the elasticity of a rope, the tail end load and motion interference are not fully considered and the load description is not accurate is solved.

The utility model relates to the technical field of fluid control equipment, in particular to a pressure control flow stabilizing valve which comprises a valve body and a middle transmission part, an adjusting cavity is arranged in the valve body, two elastic pipelines with variable diameter characteristics are arranged in the adjusting cavity, and the middle transmission part is arranged in the adjusting cavity. The valve body is provided with two elastic pipelines, the two elastic pipelines and the arc-shaped inner wall of the adjusting cavity form a fixed contact interface in the axial direction, the two elastic pipelines are a liquid conveying hose and an auxiliary backflow hose respectively, and the valve body is further provided with a two-way fluid port communicated with the connecting position of the liquid conveying hose and the auxiliary backflow hose. According to the automatic flow control valve, through the extrusion effect of the middle transmission piece on the elastic pipelines, the circulation sectional area of the infusion hose and the circulation sectional area of the auxiliary backflow hose are automatically adjusted when the system pressure changes, a closed-loop flow control loop is formed, and self-adjustment of flow and overload protection are achieved.

The invention provides a layered chassis coordination control method and device, electronic equipment and a storage medium, which are applied to an electric vehicle, and the method comprises the following steps: establishing a nonlinear vehicle model, and carrying out segmented ray imitation on the nonlinear vehicle model to obtain a vehicle system model; and designing a front wheel steering and yawing moment coordinated controller based on the vehicle system model, and performing chassis coordinated control on the electric vehicle based on the controller. By combining electronic stability control and an active front wheel steering system and utilizing a composite model predictive control strategy, the front wheel steering angle and the yaw moment are comprehensively processed, and stable control over the vehicle is achieved. The vehicle stability under different driving conditions is ensured by establishing a nonlinear vehicle model, carrying out linear processing and introducing a polyhedral constraint condition. According to the control strategy, optimal control input is generated by constructing an invariant control set and solving a mixed integer quadratic programming problem so as to cope with uncertain factors in a complex driving environment, and quick response and stability of the vehicle are ensured.

This invention relates to the field of vehicle intelligent control technology, specifically to a vehicle flood prevention collaborative control method and related equipment. The method includes: acquiring environmental perception data and vehicle status data of the vehicle to be processed; inputting the environmental perception data and the vehicle status data into a preset risk assessment model for multi-source data fusion processing to obtain a risk level; and, based on the risk level, invoking a corresponding control strategy to execute flood prevention collaborative control operations. The control strategy includes a remote early warning and suggestion strategy, an active vehicle preparation strategy, an emergency sealing and floating control strategy, and a post-disaster rescue and information sharing strategy. This invention can achieve dynamic prediction and active protection against vehicle flooding risks, improving vehicle safety in heavy rain environments.

The invention provides an aero-engine surge fault intelligent diagnosis method and device, and belongs to the technical field of aero-engine fault diagnosis, and the method comprises the steps: obtaining historical working parameters, carrying out the clustering, constructing a neural network of a digital twin network architecture, carrying out the preliminary screening of the working parameters, carrying out the normalization processing, training a surge model, and finally achieving the real-time surge monitoring. According to the method, historical sortie flight data is directly utilized for training, and the data naturally covers a real flight envelope; a cartridge receiver vibration signal is used as a main monitoring object, the working environment of the vibration sensor is relatively mild, and the reliability is higher; according to the prediction model based on the digital twin network architecture, the accuracy and robustness of surge diagnosis in the whole life cycle are remarkably improved, the model training convergence speed is increased, the requirement for computing resources is reduced, and engineering deployment is facilitated.

The application relates to a separation control method for a symmetric reentry vehicle under lateral instability, and belongs to the technical field of attitude control. A three-channel trimming capability equation is established; lateral control deviation parameters LCDP are calculated; according to the three-channel trimming capability equation and the lateral control deviation parameters LCDP, the controllable attack angle interval of the vehicle is determined as [alpha min , alpha max ]; when the time is, the lateral instability is controlled; according to the physical limit constraint of the pitch rudder deviation range, a target attack angle alpha cx of preset pitch rudder deviation setting attitude adjustment demand before separation is formulated, and the separation control is performed according to the target attack angle alpha cx of the attitude adjustment demand; the application forms a separation control method for a reentry vehicle under lateral instability, is used for vehicle stable separation control method demonstration for the case that the separation control is lateral instability and the control capability is insufficient, and ensures the stability of the vehicle separation control.