CN102541062B - Local path planning method for underwater autonomous aircraft - Google Patents

Local path planning method for underwater autonomous aircraft Download PDF

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CN102541062B
CN102541062B CN201210045181.0A CN201210045181A CN102541062B CN 102541062 B CN102541062 B CN 102541062B CN 201210045181 A CN201210045181 A CN 201210045181A CN 102541062 B CN102541062 B CN 102541062B
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desired course
under water
dynamic auxiliary
auxiliary circle
autonomous type
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CN102541062A (en
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李一博
黄新敬
靳世久
曾周末
陈世利
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Tianjin University
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Abstract

The invention discloses a local path planning method for an underwater autonomous aircraft, and relates to the field of underwater autonomous aircrafts. The local path planning method comprises the following steps of: when track tracking deviation d is less than or equal to a second threshold value dmax and more than a first threshold value dmin, through the position relationship between a dynamic auxiliary circle and a directed line segment PiPi+1 of a current local target track, selecting a temporary target waypoint; computing a revised expected course PsiE; and controlling the underwater autonomous aircraft to run along the PsiE course. By the local path planning method, the local path planning of the underwater autonomous aircraft can be realized; the instantaneous interference resistance and the constant current interference resistance are higher than those in the conventional neural network method; the local path planning method has the advantages of low time consumption and space occupancy as well as simple and convenient computation; and requirements on undersea exploration and measurement by the underwater autonomous aircraft are met.

Description

A kind of local paths planning method of the aircraft of autonomous type under water
Technical field
The present invention relates to autonomous type aircraft field under water, particularly a kind of local paths planning method of the aircraft of autonomous type under water.
Background technology
Autonomous type aircraft is reconnoitred and need in horizontal projection, along intended target flight path, be travelled when measuring the unknown marine site of appointment being carried out to seabed under water.As shown in Figure 1, autonomous type aircraft is generally taked in horizontal projection to come the mode of flyback retrace to carry out seabed along " bow " font flight path and is reconnoitred and measure under water.This flight path can be broken down into a series of directed line line segments.Autonomous type aircraft is in the process of travelling along targetpath under water, owing to being subject to interference, sensor measurement error and the departure of self etc. of ocean current, the flight path that can depart from objectives travels, cause autonomous type aircraft under water not carry out seabed scanning survey according to targetpath, thereby affect measurement effect.Autonomous type aircraft must reduce and eliminate this Track In Track deviation under water, have the ability of independently carrying out local paths planning, realizes the Track In Track in certain accuracy rating.This is that autonomous type aircraft completes the important prerequisite of underwater operation and mission under water.The conventional Track In Track method of autonomous type aircraft has neural network (list of references: Tang Li, AUV neural network surface level Track In Track is controlled research, Harbin Engineering University's master thesis, 2009) etc. under water at present.But the method instantaneous perturbation resistance ability and anti-constant ocean current interference performance are not very good: adjustable range is long, tracking mileage is long, time and the space expense of calculation of complex, algorithm are large, are difficult to meet under water autonomous type aircraft and carry out seabed and reconnoitre and the demand of measuring.
Summary of the invention
The invention provides a kind of local paths planning method of the aircraft of autonomous type under water, it is short that this method has realized adjustable range, follows the tracks of mileage short, calculates simple, time and space expense little, met under water autonomous type aircraft and carried out seabed and reconnoitre and the demand of measuring, described below:
A local paths planning method for autonomous type aircraft under water, said method comprising the steps of:
(1) global object flight path is decomposed into a series of directed line line segment P ip i+1| i=1,2,3 ..., N, and successively N expection destination is stored under water in autonomous type aircraft control system assignment file;
(2) by P iand P i+1be defined as starting point and the end point of one section of flight path, P is autonomous type aircraft current location under water, and P is to straight line P ip i+1vertical line section length d=| PH| is defined as current Track In Track deviation, and H is intersection point,
Figure BDA0000138214330000021
for the desired course angle of targetpath,
Figure BDA0000138214330000022
for uncorrected desired course angle, ψ pHfor with desired course angle
Figure BDA0000138214330000023
vertical course, ψ efor revising later desired course angle;
(3) from the described aircraft of autonomous type under water control system assignment file, read first aim destination P i, i=1;
(4) if i>=N performs step (12), otherwise, from the described aircraft of autonomous type under water control system assignment file, read next target destination P i+1, determine current localized target flight path directed line segment P ip i+1;
(5) from inertial navigation system, obtain autonomous type aircraft current location P and current course under water, judge whether to arrive P i+1, if so, i=i+1, execution step (4); If not, execution step (6);
(6) calculate the current Track In Track deviation of autonomous type aircraft d under water, judge whether described current Track In Track deviation d is less than or equal to first threshold d min, if so, execution step (7); If not, execution step (8);
(7) revise later desired course angle ψ eequal
Figure BDA0000138214330000024
desired course does not adjust, execution step (12);
(8) judge whether described current Track In Track deviation d is less than or equal to Second Threshold d max, and be greater than first threshold d min, if so, execution step (9); If not, execution step (10);
(9) according to the first formula, calculate auxiliary dynamic radius of circle r, take the described aircraft of autonomous type under water current location P as the center of circle, the r of take sets up dynamic auxiliary circle as radius, according to described dynamic auxiliary circle and described current localized target flight path directed line segment P ip i+1position relationship select transient target destination, calculate and revise later desired course ψ e;
(10) described current Track In Track deviation d is greater than described Second Threshold d max, make desired course ψ epH;
(11) control described under water autonomous type aircraft along ψ edirection running, re-executes step (5);
(12) flow process finishes.
Described the first formula is specially:
r=f(d),f(d)≤0,f(d min)=r max,f(d max)=r min,d min<d max
Wherein, r min, r maxthe maximal value and the minimum value that represent respectively dynamic radius of circle r.
Described according to described dynamic auxiliary circle and described current localized target flight path directed line segment P ip i+1position relationship select transient target destination, calculate and revise later desired course ψ ebe specially:
1) as dynamic auxiliary circle and straight line P ip i+1from and P at P ip i+1on projection H at P i+1p iextended line on time, select P ias transient target destination, revise desired course and make
Figure BDA0000138214330000025
2) as dynamic auxiliary circle and straight line P ip i+1from and P at P ip i+1on projection H at P ip i+1when upper, selected H as transient target destination, and revised desired course and make ψ epH;
3) as dynamic auxiliary circle and straight line P ip i+1from and P at P ip i+1on projection H at P ip i+1extended line on time, select P i+1as transient target destination, revise desired course and make
4) as dynamic auxiliary circle and straight line P ip i+1intersect and P at P ip i+1on projection H at P i+1p iextended line on time, select P ifor transient target destination, revise desired course and make
Figure BDA0000138214330000032
5) as dynamic auxiliary circle and straight line P ip i+1intersect at an E, F and P at P ip i+1on be projected in P ip i+1upper, and P ip in dynamic auxiliary circle i+1in the time of outside dynamic auxiliary circle, select near P i+1e point be transient target destination, revise desired course and make ψ epE;
6) as dynamic auxiliary circle and straight line P ip i+1intersect at an E, F and P at P ip i+1on be projected in P ip i+1upper, and P iand P i+1in the time of outside dynamic auxiliary circle, selecting E point is transient target destination, revises desired course and makes ψ epE;
7) when P is at P ip i+1on be projected in P ip i+1go up and P iand P i+1in the time of in dynamic auxiliary circle, select P i+1point is transient target destination, revises desired course and makes
Figure BDA0000138214330000033
8) as dynamic auxiliary circle and straight line P ip i+1intersect, and P is at P ip i+1on be projected in P ip i+1upper, and P i+1p in dynamic auxiliary circle iin the time of outside dynamic auxiliary circle, select P i+1point is transient target destination, revises desired course and makes
Figure BDA0000138214330000034
9) as dynamic auxiliary circle and straight line P ip i+1intersect and P at P ip i+1on be projected in P ip i+1extended line on, select P i+1point is transient target destination, revises desired course and makes
Figure BDA0000138214330000035
The beneficial effect of technical scheme provided by the invention is:
The local paths planning method that the invention provides a kind of aircraft of autonomous type under water, when Track In Track deviation, d is less than or equal to Second Threshold d max, and be greater than first threshold d mintime, by dynamic auxiliary circle and current localized target flight path directed line segment P ip i+1position relationship select transient target destination, calculate and revise later desired course ψ e, control under water autonomous type aircraft along ψ edirection running, this method can effectively realize the local paths planning of autonomous type aircraft under water, the ability that the ability of its opposing instantaneous interference and the constant ocean current of opposing disturb is all better than traditional neural network, and have advantages of that space-time expense is little, it is easy to calculate, met under water autonomous type aircraft and carried out seabed and reconnoitre and the demand of measuring.
Accompanying drawing explanation
The decomposition of the global object flight path that Fig. 1 wants to take for the aircraft of autonomous type under water that prior art provides with express schematic diagram;
Fig. 2 is provided by the invention illustrating and related definition;
Fig. 3-1 is the experiment effect figure of the instantaneous perturbation resistance ability of check this method provided by the invention with 3-2;
Fig. 4 is the experiment effect figure of the anti-constant ocean current disturbance ability of check this method provided by the invention;
Dynamic auxiliary circle and the position relationship of interim local desired track and the schematic diagram that corresponding new expectation destination is chosen that Fig. 5-1 is this method provided by the invention to 5-9;
Fig. 6 is the process flow diagram of the local paths planning method of a kind of aircraft of autonomous type under water provided by the invention.
Embodiment
For making the object, technical solutions and advantages of the present invention clearer, below in conjunction with accompanying drawing, embodiment of the present invention is described further in detail.
Short in order to realize adjustable range, tracking mileage is short, calculate simple, time and space expense little, satisfied autonomous type aircraft is under water carried out seabed and is reconnoitred and the demand of measuring, referring to Fig. 6, the embodiment of the present invention provides a kind of local paths planning method of the aircraft of autonomous type under water, described below:
101: global object flight path is decomposed into a series of directed line line segment P ip i+1| i=1,2,3 ..., N, and successively N expection destination is stored under water in autonomous type aircraft control system assignment file;
Wherein, referring to Fig. 1, this step is specially: each summit P that autonomous type aircraft is under water carried out to the global object flight path that subsea survey wants to take i| i=1,2,3 ..., N, is stored under water in autonomous type aircraft control system assignment file according to sequencing, N expection destination altogether, and N is positive integer, each destination comprises expection longitude, expect the information such as latitude and goal pace.
Wherein, referring to Fig. 2, establish autonomous type aircraft under water and travel at present at localized target flight path P ip i+1near.
102: by P iand P i+1be defined as starting point and the end point of one section of flight path, P is autonomous type aircraft current location under water, and P is to straight line P ip i+1vertical line section length d=| PH| is defined as Track In Track deviation, and H is intersection point, for the desired course angle of targetpath, for uncorrected desired course angle, ψ P hfor with desired course angle
Figure BDA0000138214330000043
vertical course, ψ efor revising later desired course angle;
103: from reading first aim destination P autonomous type aircraft control system assignment file under water i, i=1;
104: if i>=N performs step 112, otherwise, from reading next target destination P autonomous type aircraft control system assignment file under water i+1, determine current localized target flight path directed line segment P ip i+1;
Wherein, by first aim destination P iwith next target destination P i+1thereby determine current localized target flight path directed line segment P ip i+1.
105: from inertial navigation system, obtain autonomous type aircraft current location P and current course under water, judge whether to arrive P i+1, if so, i=i+1, performs step 104; If not, perform step 106;
Wherein, current location P generally includes longitude and latitude information, and for example: longitude is 117.00000000 °, latitude is that 39.00000000 °, current course are 100.000 °.
106: calculate the current Track In Track deviation of autonomous type aircraft d under water, judge whether current Track In Track deviation d is less than or equal to first threshold d min, if so, perform step 107; If not, perform step 108;
107:
Figure BDA0000138214330000051
desired course does not adjust, and performs step 112;
108: judge whether current Track In Track deviation d is less than or equal to Second Threshold d max, and be greater than first threshold d min, if so, perform step 109; If not, perform step 110;
109: according to the first formula, calculate auxiliary dynamic radius of circle r, take under water autonomous type aircraft current location P as the center of circle, the r of take sets up dynamic auxiliary circle as radius, according to dynamic auxiliary circle and current localized target flight path directed line segment P ip i+1position relationship select transient target destination, calculate and revise later desired course ψ e, perform step 111;
Wherein, the first formula is specially:
r=f(d),f(d)≤0,f(d min)=r max,f(d max)=r min,d min<d max (1)
Wherein, r min, r maxthe maximal value and the minimum value that represent respectively dynamic radius of circle r, d min, d max, r minand r maxsize, hydrodynamic property, the Track In Track accuracy requirement chosen according to autonomous type aircraft under water determine, during specific implementation, the embodiment of the present invention does not limit this.The function expression that meets (1) formula has various ways, and the embodiment of the present invention be take and met a kind of form (2) formula wherein and describe as example.
r = f ( d ) = ( r min - r max ) ( d - d min d max - d min ) c + r max - - - ( 2 )
Wherein, referring to Fig. 5-1 to Fig. 5-9, dynamically auxiliary circle and directed line segment P ip i+1totally 9 kinds of position relationships, described below:
1) as shown in Fig. 5-1, as dynamic auxiliary circle and straight line P ip i+1from and P at P ip i+1on projection H at P i+1p iextended line on time, select P ias transient target destination, revise desired course and make
Figure BDA0000138214330000053
Control autonomous type aircraft edge under water travel, first autonomous type aircraft will get back to target destination P under water iplace, then starts to follow the tracks of current localized target flight path directed line segment P ip i+1.
2) as shown in Fig. 5-2, as dynamic auxiliary circle and straight line P ip i+1from and P at P ip i+1on projection H at P ip i+1when upper, selected H as transient target destination, and revised desired course and make ψ epH;
Control under water autonomous type aircraft along ψ pHtravel, Track In Track deviation d will reduce rapidly.
3) as shown in Fig. 5-3, as dynamic auxiliary circle and straight line P ip i+1from and P at P ip i+1on projection H at P ip i+1extended line on time, select P i+1as transient target destination, revise desired course and make
Figure BDA0000138214330000061
Control autonomous type aircraft edge under water
Figure BDA0000138214330000062
travel, first autonomous type aircraft will get back to target destination P under water i+1place, starts to follow the tracks of next targetpath.
4) as shown in Fig. 5-4, as dynamic auxiliary circle and straight line P ip i+1intersect and P at P ip i+1on projection H at P i+1p iextended line on time, select P ifor transient target destination, revise desired course and make
Control autonomous type aircraft edge under water
Figure BDA0000138214330000064
travel, first autonomous type aircraft will get back to target destination P under water iplace, then starts to follow the tracks of current localized target flight path directed line segment P ip i+1.
5) as shown in Fig. 5-5, as dynamic auxiliary circle and straight line P ip i+1intersect at an E, F and P at P ip i+1on be projected in P ip i+1upper, and P ip in dynamic auxiliary circle i+1in the time of outside dynamic auxiliary circle, select near P i+1e point be transient target destination, revise desired course and make ψ epE;
Control under water autonomous type aircraft along ψ pEtravel, autonomous type aircraft will revert to current localized target flight path directed line segment P gradually under water ip i+1on.
6) as shown in Fig. 5-6, as dynamic auxiliary circle and straight line P ip i+1intersect at an E, F and P at P ip i+1on be projected in P ip i+1upper, and P iand P i+1in the time of outside dynamic auxiliary circle, selecting E point is transient target destination, revises desired course and makes ψ epE;
Control under water autonomous type aircraft along ψ pEtravel, autonomous type aircraft will revert to current localized target flight path directed line segment P gradually under water ip i+1on.
7) as shown in Fig. 5-7, when P is at P ip i+1on be projected in P ip i+1go up and P iand P i+1in the time of in dynamic auxiliary circle, select P i+1point is transient target destination, revises desired course and makes
Figure BDA0000138214330000065
Control autonomous type aircraft edge under water travel, autonomous type aircraft will revert to current localized target flight path directed line segment P gradually under water ip i+1on.
8) as shown in Fig. 5-8, as dynamic auxiliary circle and straight line P ip i+1intersect, and P is at P ip i+1on be projected in P ip i+1upper, and P i+1p in dynamic auxiliary circle iin the time of outside dynamic auxiliary circle, select P i+1point is transient target destination, revises desired course and makes
Figure BDA0000138214330000067
Control autonomous type aircraft edge under water
Figure BDA0000138214330000068
travel, autonomous type aircraft will revert to current localized target flight path directed line segment P gradually under water ip i+1on.
9) as shown in Fig. 5-9, as dynamic auxiliary circle and straight line P ip i+1intersect and P at P ip i+1on be projected in P ip i+1extended line on, select P i+1point is transient target destination, revises desired course and makes
Control autonomous type aircraft edge under water
Figure BDA00001382143300000610
travel, autonomous type aircraft will be got back to target destination P under water i+1place, starts to follow the tracks of next targetpath.
110: current Track In Track deviation d is greater than Second Threshold d max, revise desired course and make desired course ψ epH, perform step 111;
111: control under water autonomous type aircraft along ψ edirection running, re-executes step 105;
112: flow process finishes.
With a concrete experiment, verify the feasibility of the local paths planning method of a kind of aircraft of autonomous type under water that the embodiment of the present invention provides below, described below:
Get d min=2.5 meters, d max=35 meters, r max=50 meters, r min=d max, c=1, adopts this method and traditional neural net method to do respectively two groups of experiments.D min, d max, r max, r min, d max, c also can get other values, but once in experiment, is getting fixed value.The instantaneous perturbation resistance ability of first group of experimental check this method; The anti-constant ocean current interference performance of second group of experimental check this method.The data of every group of experiment have all been done following processing: choosing starting point A is initial point, if certain on targetpath and actual flight path is some P, calculate directed line segment AP at the earth's surface along projection x and the y of east-west direction and North and South direction, with (x, y) for coordinate is figure, as shown in Fig. 3-1, Fig. 3-2, Fig. 4.
Table 1 has shown that the algorithm of two kinds of methods is good and bad, can find out that the algorithm space-time expense of this method is significantly less than neural network.In addition, this method memory consumption is that fixed value, computing time are also substantially constant, and the internal memory that the calculating of neural net method consumes and time will increase along with the increase of network size.
Table 1
Figure BDA0000138214330000071
Fig. 3-1, Fig. 3-2 and table 2 have shown the effect of testing.Target setting flight path is from A point to B point, on the way certain some course moment of the lower autonomous type aircraft of feedwater apply the increment of 60 °, make under water the autonomous type aircraft flight path that departs from objectives very soon, subsequently convergence targetpath progressively again.From Fig. 3-1 and Fig. 3-2, can find out, two kinds of methods all can realize Track In Track, but the adjustable range of the correction Track In Track deviation of this method is significantly shorter than neural net method.As shown in table 2, the maximal value of the current Track In Track deviation d of the two is close, all approaches 30 meters; From applying, interfere with tracing deviation d and return to d < d min, the projection of the distance that autonomous type aircraft experiences under water on targetpath, i.e. adjustable range, this method is significantly less than neural network; Targetpath AB is being carried out in tracing process, and the length of the track that autonomous type aircraft experiences under water, follows the tracks of mileage, and this method is smaller than neural network.Repeat 23 experiments, all obtain effect same.
Table 2
Fig. 4 has shown the effect of testing two, and target setting flight path is from A point to B point, 90 ° of ocean current size 0.2m/s, direction norths by east.Can find out that this method can make autonomous type aircraft under water constantly adjust self course in good time, travel all the time along targetpath, Track In Track deviation is minimum, basic controlling is in 3.5 meters, and neural network tracing deviation is increasing, finally disperse, can not complete Track In Track.Repeat 21 experiments, all obtain effect same.In sum, the embodiment of the present invention provides a kind of local paths planning method of the aircraft of autonomous type under water, and when Track In Track deviation, d is less than or equal to Second Threshold d max, and be greater than first threshold d mintime, by dynamic auxiliary circle and current localized target flight path directed line segment P ip i+1position relationship select transient target destination, calculate and revise later desired course ψ e, control under water autonomous type aircraft along ψ edirection running, this method can effectively realize the local paths planning of autonomous type aircraft under water, the ability that the ability of its opposing instantaneous interference and the constant ocean current of opposing disturb is all better than traditional neural network, and have advantages of that space-time expense is little, it is easy to calculate, met under water autonomous type aircraft and carried out seabed and reconnoitre and the demand of measuring.
It will be appreciated by those skilled in the art that accompanying drawing is the schematic diagram of a preferred embodiment, the invention described above embodiment sequence number, just to describing, does not represent the quality of embodiment.
The foregoing is only preferred embodiment of the present invention, in order to limit the present invention, within the spirit and principles in the present invention not all, any modification of doing, be equal to replacement, improvement etc., within all should being included in protection scope of the present invention.

Claims (1)

1. a local paths planning method for autonomous type aircraft under water, is characterized in that, said method comprising the steps of:
(1) global object flight path is decomposed into a series of directed line line segment P ip i+1| i=1,2,3 ..., N, and successively N expection destination is stored under water in autonomous type aircraft control system assignment file;
(2) by P iand P i+1be defined as starting point and the end point of one section of flight path, P is autonomous type aircraft current location under water, and P is to straight line P ip i+1vertical line section length d=| PH| is defined as current Track In Track deviation, and H is intersection point, for the desired course angle of targetpath, for uncorrected desired course angle, ψ pHfor with desired course angle
Figure FDA0000392428240000013
vertical course, ψ efor revising later desired course angle;
(3) from the described aircraft of autonomous type under water control system assignment file, read first aim destination P i, i=1;
(4) if i>=N performs step (12), otherwise, from the described aircraft of autonomous type under water control system assignment file, read next target destination P i+1, determine current localized target flight path directed line segment P ip i+1;
(5) from inertial navigation system, obtain autonomous type aircraft current location P and current course under water, judge whether to arrive P i+1, if so, i=i+1, execution step (4); If not, execution step (6);
(6) calculate the current Track In Track deviation of autonomous type aircraft d under water, judge whether described current Track In Track deviation d is less than or equal to first threshold d min, if so, execution step (7); If not, execution step (8);
(7) revise later desired course angle ψ eequal
Figure FDA0000392428240000014
desired course does not adjust, execution step (12);
(8) judge whether described current Track In Track deviation d is less than or equal to Second Threshold d max, and be greater than first threshold d min, if so, execution step (9); If not, execution step (10);
(9) according to the first formula, calculate auxiliary dynamic radius of circle r, take the described aircraft of autonomous type under water current location P as the center of circle, the r of take sets up dynamic auxiliary circle as radius, according to described dynamic auxiliary circle and described current localized target flight path directed line segment P ip i+1position relationship select transient target destination, calculate and revise later desired course ψ e, execution step (11);
(10) described current Track In Track deviation d is greater than described Second Threshold d max, make desired course ψ epH, execution step (11);
(11) control described under water autonomous type aircraft along ψ edirection running, re-executes step (5);
(12) flow process finishes;
Described the first formula is specially:
r=f(d),f(d)'≤0,f(d min)=r max,f(d max)=r min,d min<d max
Wherein, r min, r maxthe maximal value and the minimum value that represent respectively dynamic radius of circle r;
Wherein, described according to described dynamic auxiliary circle and described current localized target flight path directed line segment P ip i+1position relationship select transient target destination, calculate and revise later desired course ψ ebe specially:
1) as dynamic auxiliary circle and straight line P ip i+1from and P at P ip i+1on projection H at P i+1p iextended line on time, select P ias transient target destination, revise desired course and make
2) as dynamic auxiliary circle and straight line P ip i+1from and P at P ip i+1on projection H at P ip i+1when upper, selected H as transient target destination, and revised desired course and make ψ epH;
3) as dynamic auxiliary circle and straight line P ip i+1from and P at P ip i+1on projection H at P ip i+1extended line on time, select P i+1as transient target destination, revise desired course and make
Figure FDA0000392428240000022
4) as dynamic auxiliary circle and straight line P ip i+1intersect and P at P ip i+1on projection H at P i+1p iextended line on time, select P ifor transient target destination, revise desired course and make
Figure FDA0000392428240000023
5) as dynamic auxiliary circle and straight line P ip i+1intersect at an E, F and P at P ip i+1on be projected in P ip i+1upper, and P ip in dynamic auxiliary circle i+1in the time of outside dynamic auxiliary circle, select near P i+1e point be transient target destination, revise desired course and make
Figure FDA0000392428240000024
6) as dynamic auxiliary circle and straight line P ip i+1intersect at an E, F and P at P ip i+1on be projected in P ip i+1upper, and P iand P i+1in the time of outside dynamic auxiliary circle, select near P i+1e point be transient target destination, revise desired course and make
7) when P is at P ip i+1on be projected in P ip i+1go up and P iand P i+1in the time of in dynamic auxiliary circle, select P i+1point is transient target destination, revises desired course and makes
Figure FDA0000392428240000026
8) as dynamic auxiliary circle and straight line P ip i+1intersect, and P is at P ip i+1on be projected in P ip i+1upper, and P i+1p in dynamic auxiliary circle iin the time of outside dynamic auxiliary circle, select P i+1point is transient target destination, revises desired course and makes &psi; E = &psi; PP i + 1 ;
9) as dynamic auxiliary circle and straight line P ip i+1intersect and P at P ip i+1on be projected in P ip i+1extended line on, select P i+1point is transient target destination, revises desired course and makes
Figure FDA0000392428240000028
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CN106444838A (en) * 2016-10-25 2017-02-22 西安兰海动力科技有限公司 Precise path tracking control method for autonomous underwater vehicle
CN108226965B (en) * 2016-12-15 2022-01-18 苏州宝时得电动工具有限公司 Positioning fault processing method and device of self-moving equipment and electronic equipment
CN106950974B (en) * 2017-04-19 2020-07-28 哈尔滨工程大学 Three-dimensional path understanding and tracking control method for under-actuated autonomous underwater vehicle
CN106990787B (en) * 2017-05-16 2020-09-25 哈尔滨工程大学 Wave glider waypoint tracking method with integrated upper and lower body heading information
CN108037766B (en) * 2017-12-11 2021-04-09 河海大学 Control system of floating-rolling benthonic submersible
CN108168548B (en) * 2018-02-13 2022-03-15 南京师范大学 Pedestrian inertial navigation system and method assisted by machine learning algorithm and model
CN109002036B (en) * 2018-04-25 2021-08-10 深圳臻迪信息技术有限公司 Unmanned ship one-key return control system and method
CN108801262B (en) * 2018-05-31 2021-09-03 青岛中乌特种船舶研究设计院有限公司 Method for planning and correcting route of automatic navigation controller of ship
CN109814392B (en) * 2019-02-21 2021-10-26 大连海事大学 Fault-tolerant control method for fault robustness of under-actuated underwater robot actuator
CN110286672A (en) * 2019-05-13 2019-09-27 深圳创动科技有限公司 Robot and its navigation control method, Navigation Control Unit and storage medium
CN111781938B (en) * 2020-06-23 2021-06-18 中国科学院声学研究所 Under-actuated underwater vehicle and stabilizing method and device thereof
CN112558620B (en) * 2020-12-15 2022-09-23 西北工业大学 Course correction path tracking method of under-actuated autonomous underwater vehicle

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2006090896A1 (en) * 2005-02-23 2006-08-31 Matsushita Electric Works, Ltd. Autonomous vehicle and planar obstacle recognition method
CN101408772A (en) * 2008-11-21 2009-04-15 哈尔滨工程大学 AUV intelligent touching-avoiding apparatus and method
CN101807081A (en) * 2010-04-07 2010-08-18 南京航空航天大学 Autonomous navigation guidance method used for pilotless plane
CN102175245A (en) * 2011-01-28 2011-09-07 哈尔滨工程大学 Underwater vehicle path planning method based on ocean current historical statistic information

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2006090896A1 (en) * 2005-02-23 2006-08-31 Matsushita Electric Works, Ltd. Autonomous vehicle and planar obstacle recognition method
CN101408772A (en) * 2008-11-21 2009-04-15 哈尔滨工程大学 AUV intelligent touching-avoiding apparatus and method
CN101807081A (en) * 2010-04-07 2010-08-18 南京航空航天大学 Autonomous navigation guidance method used for pilotless plane
CN102175245A (en) * 2011-01-28 2011-09-07 哈尔滨工程大学 Underwater vehicle path planning method based on ocean current historical statistic information

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
一种自主水下航行器路径规划算法;崔荣鑫等;《系统仿真学报》;20061220;第18卷(第12期);3373-3376 *
崔荣鑫等.一种自主水下航行器路径规划算法.《系统仿真学报》.2006,第18卷(第12期),3373-3376.

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