2064 results about "Rudder" patented technology

The invention provides an underwater vehicle multi-source information fusion accurate navigation method and system. The method comprises the following steps: firstly, acquiring inertial navigation data, DVL data and ocean current information of an underwater vehicle and observation information of a distance between the underwater vehicle and a beacon, and preprocessing the inertial navigation data, the DVL data and the ocean current information; then, establishing a state model according to the kinematics principle of the underwater vehicle, and establishing an observation model by combining various types of information; carrying out fusion processing on the state model and the observation model by adopting a self-adaptive Kalman filtering algorithm; and finally, estimating the current position of the underwater vehicle according to the fused state vector, comparing the current position with a preset target position to calculate a deviation, and correcting the deviation by adjusting a rudder angle and the rotating speed of a propeller. According to the method, multi-source information is integrated, innovation is carried out on construction of a state model and an observation model and position estimation and deviation correction, adaptive Kalman filtering is adopted, and the method has the advantages that the navigation precision is improved, the ocean current influence is considered, adaptive adjustment is realized, and real-time navigation is realized.

The invention relates to the technical field of flight control, in particular to a fixed-wing unmanned aerial vehicle attitude correction and precise flight control method fused with visual navigation, which comprises the following steps: extracting ORB feature points and constructing a dynamic feature point cloud; simultaneously acquiring angular velocity and acceleration data of the inertial measurement unit; performing tight coupling fusion processing on the dynamic feature point cloud and the inertial measurement data to generate real-time pose data; inputting the real-time pose data into an attitude correction parameter calculation module, and generating an attitude correction parameter through a dynamic weight distribution algorithm in combination with a preset flight path planning model and GPS positioning data; and a control surface deflection instruction and an accelerator control instruction are generated through the multi-constraint optimization model, and unmanned aerial vehicle flight attitude closed-loop correction is completed. According to the method, aerodynamic parameters such as the air speed, the wind field lateral disturbance and the attack angle are introduced to serve as coupling input, the control surface deflection amount and limiting conditions are dynamically adjusted, and self-adaptive modeling and control over the nonlinear flight characteristics are achieved.

The invention discloses an unmanned ship distributed cooperative dynamic target surrounding control method under multiple constraints, and relates to the field of unmanned ship cooperative control. In order to solve the problems that multiple constraint coupling is not fully considered in cooperative surrounding of multiple unmanned ships, target state estimation is insufficient in an intermittent communication environment and the like, the following technical scheme is provided: firstly, a motion model of the unmanned ships and a target is established; a distributed internal model observer is arranged for each unmanned ship, and the internal motion state of the target is estimated; then designing a distributed type progressive average surrounding guidance algorithm, and performing distributed scheduling on the expected speed and heading of the unmanned ship, so that the unmanned ship can still keep safe surrounding when the speed or direction of the target is changed; the input saturation constraint of a propeller or a steering engine is considered, so that each unmanned ship can be autonomously controlled according to an expected trajectory and speed; and finally, stable and collision-free surrounding of the dynamic target is realized under multiple constraint conditions. The method can be applied to scenes such as ocean escort and maritime search and rescue which need to perform collaborative operation around a dynamic target.

The invention provides an unmanned ship path tracking control method based on lightweight self-adaptive sight guidance. The method comprises a self-adaptive sight guidance algorithm, a foresight distance is adjusted in real time according to the current position and path deviation of an unmanned ship, ideal course information is obtained, and the path convergence speed and algorithm calculation efficiency are improved. And in the virtual simulation platform, marine environment information is combined, and unmanned ship dynamic model parameters are obtained through experiments. And constructing an objective function taking the path tracking error and the rudder angle change as evaluation indexes, and optimizing PID controller parameters by adopting an improved sparrow search algorithm. According to the algorithm, a dynamic additive updating strategy is introduced, so that the global search capability and the convergence stability are improved, and the optimal PID parameter is ensured to be obtained. The method has the advantages of being high in response speed, small in overshoot and high in path tracking precision in the complex marine environment, the real-time control performance and the environment adaptability of the unmanned ship can be remarkably improved, and the method is suitable for the unmanned ship path tracking control requirements in various task scenes.

The invention discloses an aircraft attitude control method and device based on a semiconductor microcomputer system, and the method comprises the steps: collecting the multi-source sensor data of an aircraft, calculating an attitude error vector, and constructing a three-dimensional error space coordinate system; taking the three-dimensional error space coordinate system as a reference, adjusting the model in real time, and solving the optimal attitude adjustment amount in a prediction window period; the optimal attitude adjustment amount is input into an execution mechanism distribution module, and a thrust adjustment instruction sequence and a control surface deflection angle instruction queue of each vector propeller are generated through calculation in combination with a propeller response matrix and a control surface efficiency coefficient; dynamically correcting and predicting weight parameters of the controller through closed-loop verification; and updating the multi-objective optimization model based on the corrected parameters, adjusting the instruction distribution proportion through a dynamic reconfiguration interface, and writing the updated parameters into the attitude database to form a complete closed-loop period. According to the invention, high-precision real-time control of the attitude of the aircraft is realized, and the flight stability and the energy efficiency ratio in a complex environment are improved.

This disclosure provides an adaptive STSMC hierarchical control method for depth tracking of an underwater vehicle. The method includes: using an adaptive line-of-sight guidance algorithm to estimate the vehicle's angle of attack in real time and obtain an expected pitch angle; employing a nonlinear interference observer based on a sliding mode surface error to detect unknown interference; and applying an STSMC controller with adaptive saturation compensation to determine the expected control rudder angle from the sliding mode surface error, the expected pitch angle, and the observed interference. The adaptive saturation compensation corrects the rudder angle based on the saturation deviation, which is determined by the previously calculated expected control rudder angle and the actual output rudder angle at the previous moment. By introducing an adaptive saturation compensator in the dynamic control layer, the issue of rudder angle saturation is mitigated, thereby enhancing both control performance and stability.

The invention relates to the technical field of ship control, in particular to a fishing boat control system based on data analysis, which comprises a traction load analysis module, a fluctuation condition division module, an attitude disturbance estimation module, a propulsion power regulation module and a rudder angle correction output module. According to the method, by analyzing the traction force load sequence value and the moment arm length of the fishing net traction point, calculating the left and right side offset torque and marking the action direction, the attitude adjustment precision of the ship is optimized, the operation sea condition level is adjusted according to data, and the ship can be subjected to more reasonable attitude estimation and adjustment under the dynamic working condition; the wind pressure change rate and the pitch angle rate are combined to judge the direction resultant force trend, and the navigation attitude is adjusted according to the sea condition grade, so that the ship can more accurately resist the influence of sea surface storm waves and maintain the course stability, and the rudder angle is corrected by adjusting the propulsion power in real time, limiting the adjustment amplitude of the propulsion power and correcting the rudder angle according to the real-time data of the navigation attitude. And the propulsive efficiency and the navigation precision are optimized.

The invention belongs to the technical field of aircraft control, relates to an aircraft gravity center real-time balancing method and system based on dynamic parameter fusion, and aims to solve the problems of insufficient real-time performance, accuracy and self-adaptability of a gravity center balancing method under complex flight conditions in the prior art. The method comprises the steps that real-time parameters are obtained, and the real-time gravity center position is calculated; if the real-time gravity center position is not within the preset range, calculating a first inertia moment and a first additional moment caused by fuel density change and a second inertia moment and a second additional moment caused by aeroelastic deformation; performing inertia moment correction based on the first inertia moment and the second inertia moment; additional moment correction is carried out based on the first additional moment, the second additional moment and the real-time pitching inertia moment; when the real-time gravity center position is within the preset range, gravity center balancing is completed. The fuel oil density and aeroelastic parameters are estimated in real time through a self-adaptive control algorithm, rudder deflection and fuel oil distribution are cooperatively adjusted, and the problem of center-of-gravity shift under complex disturbance can be effectively solved.

The invention discloses an AUV (Autonomous Underwater Vehicle) path tracking method based on predicted line-of-sight angle guidance, which comprises the following steps: acquiring a real-time navigation state through inertial navigation, acoustic positioning and DVL fusion, introducing a fixed time disturbance predictor to estimate a sideslip angle and an ocean current velocity component on line, adaptively adjusting a line-of-sight distance according to transverse error-navigational speed-curvature, and tracking the path of the AUV. Calculating a predicted line-of-sight angle and outputting an expected heading; and then a propeller and a control surface are driven by adopting a fixed time feedback control law, so that track and attitude error fixed time convergence of the under-actuated AUV under the conditions of strong time-varying ocean current and large sideslip is realized. The method does not need a side thruster or an ocean current prior model, is simple in algorithm structure, is suitable for a high-speed high-curvature track, and has the advantages of high speed, high steady-state precision, low energy consumption and high robustness.

The invention discloses an automatic obstacle avoidance method and system for an unmanned ship based on Beidou artificial intelligence, and relates to the field of computer vision, and the method comprises the steps: collecting a visible light image and a near-infrared image of a water surface environment, and carrying out the reflection suppression processing; performing feature fusion on the image to generate an environment perception graph; obstacle features are extracted through a cascade cavity convolution structure, and an obstacle pixel-level semantic segmentation result is obtained; constructing an obstacle motion prediction model, and obtaining a predicted obstacle motion track; acquiring motion track data of the unmanned ship based on Beidou positioning and electronic chart data; establishing a space-time collision detection model, calculating collision parameters, and generating a collision data set; an obstacle avoidance path is generated through a dynamic situation field method, and a rudder angle instruction and a propeller rotating speed instruction are obtained. The unmanned ship has the advantages that accurate sensing, motion prediction and intelligent obstacle avoidance of the unmanned ship on water surface obstacles are realized through Beidou positioning and technology, and the sailing safety and intelligent level are improved.

The invention relates to the technical field of unmanned ship navigation control, and discloses an unmanned ship navigation state control method and system based on intelligent perception. Navigation environment information of multi-dimensional data is obtained, a multi-dimensional data fusion technology is adopted for construction of an environment state matrix, and discrete environment elements are converted into structured matrix expression. In the initial path generation stage, data acquisition value evaluation is fused, obstacle avoidance requirements are considered, and a high-value detection area is actively covered. In the path correction stage, a multi-objective cost function including energy consumption, threat degree and path length is constructed, and real-time path optimization in a dynamic environment is realized. In the propulsion control link, propulsion force and rudder angle parameters are calculated by integrating the attitude, the ship speed and the ocean current speed of the unmanned ship. According to the method, the contradiction among the real-time performance of dynamic obstacle avoidance, the data acquisition efficiency and the energy consumption optimization is solved through the cooperation of global-local double-layer path planning and the control of the propulsive force and the rudder angle of the unmanned ship.

The invention provides a multi-mode underwater detection robot. The robot comprises a body section assembly formed by connecting a plurality of cabin pipe assemblies and power cabin assemblies in series. Joints between the cabin pipe assemblies are connected through joint connecting pieces (7); a steering engine joint piece (3) is arranged at the joint connecting piece, a propeller propelling device (4) is arranged at the power cabin assembly, and when the underwater posture and the propelling working condition of the robot are adjusted, a steering engine of the steering engine joint piece applies force to the joint connecting piece to change the included angle of the joint connecting piece, so that the body section assembly is twisted, and the posture of the robot is converted into different modes; the propelling direction of the propeller propelling device is changed; the problems that an existing underwater robot is single in mode, incapable of adapting to complex environments, low in energy efficiency, difficult in structure maintenance and poor in function expansion capacity can be solved.

The invention discloses a folding wing and rudder design method and an unfolding locking mechanism thereof. The locking mechanism comprises a connecting handle, an elastic torsional spring and a rotating shaft. A locking head and a connector are arranged on the two sides of the bottom of the folding wing or the folding rudder respectively; the design method comprises the steps of obtaining performance parameters, and determining specific indexes such as folding sizes and unfolding time of the folding wing and the rudder. And designing a structural model according to principles of generalization, reliability and the like, and determining geometric parameters of the wing and the rudder. Verifying the strength of parts of the locking mechanism, calculating a plurality of parameters of an elastic torsion spring, and analyzing the unfolding time and synchronism. Finally, consistency checking is conducted based on finite element simulation analysis, torque and bending moment are applied in ABAQUS software according to parameters, the structural strength of the folded rudder is analyzed, and it is ensured that the design meets the requirement. According to the folding wing and rudder design method, through the scientific design process and multi-principle comprehensive application, the high-performance requirement is met, meanwhile, the cost is effectively reduced, the reliability and maintainability of products are improved, and the remarkable beneficial effects are achieved.

The invention relates to the technical field of waterway traffic inland ship berthing planning, in particular to a ship berthing pose planning method based on an end-to-end deep learning model, which comprises the following steps: acquiring environment and position information in a ship berthing process by adopting data sensing and sensing equipment, and acquiring a ship berthing pose based on GNSS (Global Navigation Satellite System), IMU (Inertial Measurement Unit) and VDR (Vessel Navigation Recorder) equipment which are deployed on a ship; obtaining complete motion state information of the ship in real time; constructing an end-to-end deep learning model, inputting the state of the current ship and berth into the end-to-end deep learning model to obtain a target rudder angle, a propulsion instruction and a ship heading, and generating a manipulation instruction sequence of the whole berthing process; and meanwhile, a dynamic correction mechanism of environment disturbance and motion feedback is introduced, environment disturbance information and ship motion feedback information are collected, and the adaptability to uncertain factors such as wind current in the berthing process is improved. According to the method, manual trajectory decomposition is not needed, and the more intelligent and comprehensive ship berthing pose planning method is achieved.

The invention relates to the field of unmanned ship control, and provides a flight path tracking method, system and device based on an improved bee colony algorithm and a medium, and the method comprises the steps: determining the position information of an unmanned ship through a navigation device; obtaining an expression of a reference course angle through a predetermined path, calculating an azimuth error and a foresight distance, calculating a virtual input calculation direction error, and generating an initial rudder angle; interference parameters are obtained, a model attitude controller is established, the motion attitude of the unmanned ship is predicted, a path prediction error is obtained, and an optimization function is constructed; calculating a dynamic weight coefficient and an adaptive scaling factor, carrying out initial solution migration to obtain an initial migration solution, selecting a current optimal solution, carrying out migration on the initial migration solution to obtain a target migration solution, and carrying out optimal solution solving of an optimization function to obtain a target rudder angle; and controlling the unmanned ship so as to complete the control of the unmanned ship. According to the invention, accurate track tracking of the unmanned ship can be realized.

The invention discloses a ship steering engine fault early-warning method based on sparse Bayesian, and the method comprises the steps: collecting the data, such as a rudder angle instruction, an actual rudder angle, steering engine response, motor current, oil pressure, ship speed, ship posture, sea condition grade, in a navigation process, and constructing a time window monitoring sample set through time alignment and normalization; steering engine response features are extracted and spliced with the working condition features to form working condition feature vectors, steering engine state labels are marked in combination with maintenance records to form a training sample set, and an adaptive sparse Bayesian early warning model with working condition related sparse priori is trained; and generating a current working condition feature vector in real-time navigation, inputting the current working condition feature vector into the model to obtain a steering engine fault risk value, and selecting a self-adaptive early warning threshold value according to a sea condition grade to output a fault early warning result. According to the invention, the false alarm rate is reduced and the early fault identification capability is improved under complex sea conditions.

The invention relates to the field of aircraft simulation test, particularly discloses a simulation test device for an aircraft rudder transmission mechanism, and solves the problems that an existing winged unmanned aircraft cannot conveniently perform simulation test on a rudder deflection angle and maximum stress and cannot conveniently perform accurate test on flight control performance. The device comprises a base, a mounting table, an adjusting assembly, a second telescopic part, a disc, a driving motor, a frame body, a front sliding rod, a mounting frame, a clamping frame, a sliding frame and a clamping plate, the driving assembly is arranged on the clamping frame, a limiting assembly is arranged in the frame body and used for limiting the mounting frame on the surface of the front sliding rod, and a supporting assembly is further arranged on the base and used for supporting the mounting frame on the surface of the front sliding rod. The supporting assembly is used for horizontally supporting the clamping frame. The device can perform simulation test on the angle adjustment precision of an elevator or a rudder of the winged unmanned aerial vehicle and the maximum stress of a transmission mechanism of the winged unmanned aerial vehicle, so that the flight control performance of the distance can be known conveniently, and the accurate control of the aerial vehicle is realized.

A station keeping waterfowl system includes at least one self propelled station keeping waterfowl decoy and a homing buoy each having water resistant housings, with at least a portion of the decoy housing having a form of a waterfowl. The decoy and buoy each include batteries, microprocessors, and power switches. The decoy includes a motor driven propeller, a motor driven rudder, and a receiving array of antennae for radio direction finding and radio ranging to the buoy. The receiving array is a T-array of antennae comprising a first transverse linear array and a second longitudinal linear array. The homing buoy emits a homing signal and the one or more waterfowl decoys autonomously navigate to remain within a predetermined radius around the buoy. The system includes a simple handheld controller which preferably comprises no more than two switches or buttons.

The invention relates to the technical field of ship power and propulsion control. The invention provides a multi-source cooperative propulsion control method and system based on hybrid power and a straight wing steering oar. The method comprises the following steps: collecting ship motion state parameters and environment parameters in real time; constructing a multi-objective joint optimization model, and solving an optimal power distribution proportion and an optimal thrust vector under the current working condition by adopting a dynamic programming algorithm; based on the optimal power distribution proportion, a fuzzy PID controller is adopted to dynamically adjust the torque coupling ratio of the diesel engine and the motor; according to the optimal thrust vector calculation result, vector synthesis is carried out on the propulsive force and the steering torque; and predicting the motion state of the ship based on an extended Kalman filter, and correcting the weight coefficient of the multi-target joint optimization model on line in combination with the change rate of the channel boundary distance. The problem that adaptability to complex working conditions is insufficient due to the fact that a traditional control strategy does not fully fuse ship motion states and environment parameters is solved.

The invention discloses an unmanned ship automatic cruise control system and a control method thereof, and particularly relates to the field of unmanned ship automatic cruise, and the unmanned ship automatic cruise control system comprises a cruise area division module, a cruise data acquisition module, a cruise data analysis module and a control module. According to the method, a self-adaptive control system is constructed through a four-dimensional linkage mechanism of the course deviation correction value, the environmental disturbance force, the control efficiency index and the path tracking deviation rate, a water flow and wind power square term modeling and steerage coefficient dynamic conversion mechanism is adopted, the transient disturbance suppression effect is remarkably improved, and the control efficiency is improved. By monitoring the nonlinear relation between the product of the accelerator and the rudder angle and the attitude of the ship body in real time, dynamically constraining the output of the actuator, avoiding attitude instability and ensuring the safety under the four-level sea condition, the system improves the course correction weight at the end point stage and starts waypoint preview and smoothing coefficient adjustment at the long leg based on the conjoint analysis of the deviation ratio threshold and the residual distance, and the ship body attitude is optimized. And the full-voyage tracking precision is optimized.

To provide a uniaxial two-rudder vessel capable of easily carrying out directional control and speed control and capable of carrying out vessel position retention maneuvering with fixed retention capacity at a low speed range.SOLUTION: A biaxial four-rudder vessel includes a maneuvering controller 201 for controlling an action direction of thrust around a stern working on a hull 110 by controlling a direction of a propeller wake flow of propulsion propellers 101a, 101b. The maneuvering controller 201 has parallel movement maneuvering unit 286 for moving the hull 110 in parallel in an arbitrary direction by combining an action direction of thrust of a starboard propulsion system 100a and an action direction of thrust of a stern propulsion system 100b in low speed range maneuvering.SELECTED DRAWING: Figure 2

The invention discloses a multi-steering-wheel calibration method and device and a storage medium, and the method comprises the steps: constructing a conversion relation between the motion state of each steering wheel and the motion state of a vehicle body, and obtaining a motion model parameter; indicating the vehicle body to move according to the motion instruction, and calculating and calculating pose parameters based on the motion model parameters and the motion speed and the motion angle of each steering wheel in the motion instruction; obtaining an actual pose parameter after the vehicle body moves, and carrying out difference calculation on the calculated pose parameter and the actual pose parameter to obtain a pose residual error; and updating the steering wheel zero offset of each steering wheel by using the pose residual error to obtain a finally calibrated target steering wheel zero offset of each steering wheel. The scheme is suitable for multi-steering-wheel vehicle type speedometer calibration, the vehicle body pose can be calculated according to the speedometer data by deducing the conversion process of the multi-steering-wheel encoder and the vehicle body motion state, then the difference value between the vehicle body pose and the actual pose parameter is calculated to adjust the zero offset, and the accuracy of zero offset adjustment is improved.

The present invention discloses a flapping-wing aircraft capable of catapult takeoff and having a sweep-torsion mechanism, belonging to the field of aircraft technology. The aircraft comprises: a fuselage frame, left and right flapping wings, a passive torsion mechanism, a sweep mechanism, a catapult takeoff mechanism, a transmission flapping mechanism, and a tail rudder, wherein: a passive torsion mechanism and a sweep mechanism are provided at the roots of the left and right flapping wings, the catapult takeoff mechanism is provided in the middle of the fuselage, and a hip joint, thigh, ankle joint, calf, foot, and toe joint are provided from top to bottom, the inner and outer sides of the hip joint are controlled by a servo motor for relative rotation, the ankle joint and toe joint are provided with elastic energy storage torsion springs, a synchronous pulley and its drive mechanism are provided between the outer side of the hip joint and the outer side of the ankle joint to control the relative rotation between the thigh and the calf, and perform energy storage for catapult takeoff. In summary, the aircraft can perform catapult takeoff flight, and can perform passive torsion and sweeping motions during the flapping of the wings, which helps to increase the flapping wing lift and the overall payload of the aircraft.

The invention belongs to the technical field of ship course control, and discloses an unmanned sailboat sail-rudder cooperative active-disturbance-rejection course control method based on ESO, and the method comprises the following steps: building a nonlinear course motion mathematical model; designing a self-adaptive tracking differentiator to smooth the expected course; the course, the yawing angular velocity, the sail aerodynamic moment and the comprehensive disturbance are observed in real time through ESO; based on a nonlinear state error feedback control law, in combination with the output of the tracking differentiator and the observed value of the ESO, generating a rudder torque control quantity, performing constraint processing on the rudder torque control quantity, and outputting a rudder angle instruction; and a dynamic optimal sail angle is decided according to the lift-drag ratio parameter, the apparent wind speed and the relative wind angle of the sail aerodynamic model corrected in real time, and a sail angle instruction is generated after the dynamic optimal sail angle is compensated and constrained by combining the course deviation. The adaptive capacity to the time-varying wind field and the model uncertainty is enhanced, and the anti-interference performance and the energy efficiency of the system are improved through dynamic optimization and compensation of the sail angle.

The invention discloses a folding rudder unfolding time testing system and method based on computer vision. The folding rudder unfolding time testing system comprises a workbench, a rudder surface mounting assembly, a limiting assembly, a camera support assembly and a data collecting and processing module. The data acquisition and processing module comprises a computer and a high-speed camera; the control surface mounting assembly and the limiting assembly are arranged on the workbench, the camera support assembly is arranged on one side of the workbench, and the high-speed camera is mounted on the camera support assembly and is in communication connection with the computer. According to the method, after the test is finished, an image sequence collected in the unfolding process of the folded rudder to be tested can be automatically stored, the motion angle of the movable rudder surface in each image is calculated, the unfolding time is calculated, and a time-motion angle chart is drawn.

The invention provides a combined fleet steering cooperation method and system based on intelligent control, and relates to the technical field of data processing, and the method comprises the steps: calculating a cooperative steering deviation value of an actual track and a preset reference path; if the collaborative steering deviation value exceeds a preset collaborative deviation threshold value, a real-time safe navigation boundary is generated through a universal dynamic point set convex hull updating algorithm; calculating a hydraulic pressure correction parameter and a rudder angle compensation amount according to the spatial position relationship between the cooperative steering deviation amount and the real-time safe navigation boundary; and converting the hydraulic pressure correction parameter into a pressure regulation instruction, and driving a pressure self-adaptive regulation mechanism of the hydraulic system to execute a compensation steering action. According to the invention, the steering deviation is reduced, and the navigation safety in a complex environment is improved.

The invention relates to the technical field of ship course control, and particularly discloses an MPC-based unmanned sailing ship course control method and system, and the method comprises the steps: carrying out the stress analysis of a ship body, a sail and a rudder of an unmanned sailing ship based on a ship MMG separation modeling thought, and building a yawing dynamic model of the unmanned sailing ship; a second-order bow turning dynamical model of the unmanned sailboat about the bow turning angle and the bow turning angular speed serves as an MPC prediction model, the control increment of the rudder angle at the current moment is output, and the control quantity at the current moment is obtained through calculation; based on the wind field data, acquiring a yaw angle of the ship body course influenced by sail stress; the control quantity at the current moment is compensated through feedforward of the yaw angle, and the compensated control quantity is applied to a rudder of the unmanned sailboat. Accurate control of the course of the unmanned sailboat is realized.

The invention belongs to the technical field of ships, and discloses an arrangement position type polar region ship with a stern-direction ice breaking and discharging structure. The arrangement position type polar region ship comprises a ship body, an ice discharging piece and a rudder, and the width size of the ship body is B; the ice discharging piece is fixed to the bottom face of the stern, the outer surfaces of the ice discharging piece are all curved surfaces, the curvature radius R1 of the ice discharging piece in the ship length direction ranges from 0.20 B to 0.80 B, the curvature radius R2 of the ice discharging piece in the ship width direction ranges from 2 to 8, the contact area of the large-curvature outer surface and crushed ice is small, the crushed ice and the curved surfaces are difficult to form a stable attachment relation, and the ice discharging piece is not prone to falling off. Therefore, under the action of hydrodynamic force, crushed ice at different positions of the curved surface can quickly slide to different positions, accumulation of the crushed ice on the inner side of the upper portion of the rudder is avoided, and the sailing safety of a ship is improved. The rudder extends in the height direction of the ship, and the upper end of the rudder is installed on the bottom face of the ice discharging piece in a swinging mode and located at the end, close to the bow, of the ice discharging piece in the length direction of the ship, so that the ice discharging piece plays a role in protecting the rudder.

The utility model relates to a pod propeller steering sealing system with monitoring and leakage recovery functions, which comprises a steering sealing device body, a pressurized oil lubricating device, an air supply device and a leakage recovery device, the pressurized oil lubricating device is connected with the steering sealing device body and used for providing lubricating oil, and the air supply device is connected with the leakage recovery device. A lubricating medium is provided for the lip-shaped sealing ring in the steering sealing device body, meanwhile, appropriate oil pressure is provided for a sealing cavity in the steering sealing device body, and seawater leakage or lubricating oil leakage when the lip-shaped sealing ring loses efficacy is prevented. The air supply device is connected with the pressurized oil lubricating device and the steering sealing device body and used for providing compressed air and adjusting and monitoring the pressure and flow of the needed compressed air. The leakage recovery device is connected with the steering sealing device body and used for monitoring the leakage condition of the steering sealing device body and discharging leakage of the steering sealing device body to the hull collecting box. According to the steering sealing system, the reliability of the pod propeller is further improved, and the pollution of lubricating oil to the environment is reduced.

The invention discloses a loadable folding rudder unfolding dynamic testing device and method.The device comprises a workbench, data sampling and analyzing equipment, a control surface limiting assembly, a loading assembly, a base assembly and a transmission assembly, and the control surface limiting assembly and the base assembly are arranged on the workbench; the loading assembly, the transmission assembly and the folding rudder are arranged on the base assembly, and the folding rudder is connected with the control surface limiting assembly and the transmission assembly. The device provided by the invention can continuously monitor the motion characteristics, the unfolding time and the vibration characteristics of the folding rudder in the unfolding process. In order to restore the real working condition of the folding rudder more truly, a loading assembly used for simulating pneumatic torque is additionally arranged, and loads can be increased when the folding rudder is unfolded and tested according to needs. In addition, through simple adjustment, the device and the method can be used for testing folding rudders with different interfaces, boundary dimensions, folding directions and angles.