8results about How to "Optimize trajectory" patented technology

The invention discloses an unmanned aerial vehicle fixed-point launching control system and method based on inertial guidance, relates to the field of unmanned aerial vehicle navigation and control, and is suitable for inertial guidance-based diving attitude and fixed-point launching of an unmanned aerial vehicle. On the basis of the existing inertial guidance technology, an adaptive algorithm and a real-time feedback mechanism are introduced, the attitude, the speed and the position of the unmanned aerial vehicle are accurately monitored based on an inertial navigation system (INS), the flight path and the attitude are dynamically adjusted in the flight process, the influence of target dynamics and external interference is considered, and the unmanned aerial vehicle is more accurate in flight. The interference of the factors on an accurate delivery result is reduced, a more reliable and efficient fixed-point delivery method is provided, the influence of external environment interference on accurate delivery is overcome, the method is widely applied to the fields of air-dropped materials, disaster rescue and the like, it can be ensured that the aircraft keeps high precision and stability when executing tasks in a complex environment, and the method is suitable for popularization and application. The method has high practical value and commercial potential.

The invention discloses a DWA and APF path planning method based on an ocean digital vehicle, and is applied to the technical field of path planning. Comprising the following steps: initializing an ocean digital carrier, constructing a grid map and setting a target point and a starting point, planning a path by adopting an improved DWA algorithm, updating a current position to be a newly generated trajectory end point, determining a current local optimal plan by utilizing the DWA algorithm, and judging whether the current position is close to a final target point or not. And if yes, ending the algorithm and performing final path planning by using the APF, and if not, repeatedly adopting the improved DWA algorithm to plan a local path. According to the method, the improved DWA algorithm and the improved APF algorithm are fused, random unknown obstacles can be effectively avoided, and the algorithm is prevented from falling into a local minimum value in the final stage.

The application relates to an environment perception-based mechanical arm obstacle avoidance trajectory planning method and system, which comprises the following steps: acquiring joint angle data and end effector position data of a mechanical arm, establishing a joint space for mechanical arm work according to the joint angle data and the end effector position data; acquiring environment point cloud data, extracting obstacle information based on the environment point cloud data, and acquiring a safe operation space of the mechanical arm through the obstacle information; acquiring a current joint angle combination of the mechanical arm, converting a position difference between the current joint angle combination and a target position into an angle increment in the joint space, and adjusting an angle value exceeding the boundary of the safe operation space, so as to complete obstacle avoidance trajectory planning of the mechanical arm. The application can realize a grabbing task while avoiding obstacles.

The present application relates to the field of oil and gas field development research, and provides a method for improving target radius in drilling, comprising the following steps: step 1, determining the main layer of the target block, and determining the production capacity of the main layer; step 2, determining the sweet spot distribution of the well site deployment area based on at least the production capacity of the main layer, and determining the main layer plane and the longitudinal distribution trend of the main layer of the well site deployment area; step 3, determining the well point position based on at least the main layer plane and the longitudinal distribution trend of the main layer of the well site deployment area, and determining the well pattern; step 4, determining the target area range based on at least the well pattern, designing the target point, and designing the target point with the depth of the main layer as the target area range; and step 5, determining the directional well trajectory. The present application takes the depth of the main layer as the design target point, and considers the regular well pattern, so that the directional error of the well trajectory can be effectively reduced, the target accuracy can be improved, the well trajectory can be optimized, the footage can be further reduced, the drilling cycle can be shortened, the field operation efficiency can be improved, and the investment can be saved.

The invention discloses a new energy grid-connected unmanned aerial vehicle auxiliary network average information age minimization strategy, and provides an optimization strategy to minimize system average information age (AoI) for an unmanned aerial vehicle auxiliary wireless energy supply sensor network (WPCN) in a new energy grid-connected system. By deploying the wireless charging platform in the network, the charging round trip of the unmanned aerial vehicle is significantly reduced, the average AoI of the system is effectively reduced, and the operation efficiency is improved. In addition, a deep Q network (DQN)-based algorithm is adopted to optimize the trajectory and charging strategy of the unmanned aerial vehicle, and the task priority is allowed to be flexibly adjusted according to real-time data and energy requirements. A simulation result verifies the advantages of the strategy in the aspects of improving system performance and fairness between nodes, and powerful technical support is provided for real-time monitoring and management of a new energy grid-connected system.

The present invention discloses a control system and method for fixed-point delivery of unmanned aerial vehicles based on inertial guidance, relates to the field of navigation and control of unmanned aerial vehicles, and is applicable to the inertial-guided dive attitude and fixed-point delivery of unmanned aerial vehicles. On the basis of existing inertial guidance technology, the present invention introduces an adaptive algorithm and a real-time feedback mechanism, accurately monitors the attitude, speed and position of the unmanned aerial vehicle based on the inertial navigation system INS, and dynamically adjusts the flight trajectory and attitude during flight, taking into account the influence of target dynamics and external interference, reducing the interference of these factors on the precise delivery results, and providing a more reliable and efficient fixed-point delivery method, overcoming the influence of external environmental interference on precise delivery, and being widely applicable to the fields of airdropping materials, disaster relief, etc., and being able to ensure that the aircraft maintains high accuracy and stability when performing tasks in complex environments, and having high practical value and commercial potential.

The invention provides an adjusting structure for adjusting the situation that a grinding system cannot do work due to too high flow speed, and relates to the technical field of grinding systems.The adjusting structure comprises an upper buffering channel, an upper rotating rod is rotationally arranged in the upper buffering channel, multiple sets of material blocking blades are arranged on the outer surface of the upper rotating rod in the length direction of the upper rotating rod, and each set of material blocking blades are arranged in an annular array mode; a lower rotating rod is elastically and rotatably arranged in the lower buffering channel in a resettable mode, a plurality of arc pieces are arranged on the outer surface of the lower rotating rod in the length direction of the lower rotating rod, the arc pieces are in a C shape, and when the lower rotating rod is in an elastic natural state without external force, the concave faces of the inner sides of the arc pieces face upwards. According to the structure, through the specially-designed upper buffering channel, the specially-designed lower buffering channel and the specially-designed internal components, the material flow speed is effectively controlled, the material track is optimized, and the grinding efficiency and uniformity are improved.

The invention discloses a method and a device for optimizing an unmanned aerial vehicle track and a user unloading decision of an edge computing system, which are used for solving the technical problem that the overall performance of the edge computing system is poor due to the existing research on an unmanned aerial vehicle track and user unloading decision optimization technology of the edge computing system. The method comprises the steps of processing obtained user unmanned aerial vehicle calculation frequency, user generation task data, user coordinate data, unmanned aerial vehicle motion state data and obstacle position data corresponding to an unmanned aerial vehicle to obtain user unmanned aerial vehicle task time delay and user unmanned aerial vehicle task energy consumption, and then combining a preset unloading decision and unmanned aerial vehicle physical quantity data to obtain a user unmanned aerial vehicle task time delay and user unmanned aerial vehicle task energy consumption; and obtaining an unmanned aerial vehicle trajectory Markov decision process model and a user unloading decision Markov decision process model, and solving the models to generate a target unmanned aerial vehicle trajectory flight strategy and a target user unloading decision strategy.