CN110262481A - A kind of Mobile Robot Obstacle Avoidance control method based on enzyme numerical value membranous system - Google Patents

A kind of Mobile Robot Obstacle Avoidance control method based on enzyme numerical value membranous system Download PDF

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Publication number
CN110262481A
CN110262481A CN201910483252.7A CN201910483252A CN110262481A CN 110262481 A CN110262481 A CN 110262481A CN 201910483252 A CN201910483252 A CN 201910483252A CN 110262481 A CN110262481 A CN 110262481A
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Prior art keywords
numerical value
mobile robot
robot
enzyme numerical
membranous system
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CN201910483252.7A
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CN110262481B (en
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荣海娜
张葛祥
黄振
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Southwest Jiaotong University
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Southwest Jiaotong University
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    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05DSYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
    • G05D1/02Control of position or course in two dimensions
    • G05D1/021Control of position or course in two dimensions specially adapted to land vehicles
    • G05D1/0212Control of position or course in two dimensions specially adapted to land vehicles with means for defining a desired trajectory
    • G05D1/0223Control of position or course in two dimensions specially adapted to land vehicles with means for defining a desired trajectory involving speed control of the vehicle
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05DSYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
    • G05D1/02Control of position or course in two dimensions
    • G05D1/021Control of position or course in two dimensions specially adapted to land vehicles
    • G05D1/0276Control of position or course in two dimensions specially adapted to land vehicles using signals provided by a source external to the vehicle

Abstract

The invention discloses a kind of Mobile Robot Obstacle Avoidance control methods based on enzyme numerical value membranous system, are related to intelligent robot and control technology field, acquisition and processing and design avoid-obstacle behavior enzyme numerical value film control system including local environmental information.The beneficial effects of the present invention are: a kind of Mobile Robot Obstacle Avoidance control method based on enzyme numerical value membranous system, by obtaining local environmental information, and utilize the distance value x i of the n range sensor acquired disturbance object on the mobile robot whole body and respective sensor, and linear transformation is carried out to xi, obtained sensor values si is multiplied and adds up with weight, it calculates cruising speed and calculates left and right wheel speed, so that the control method merges multiple sensor informations, obtain the metric of entire Environment Obstacles object and robot distance, reduce the computing cost of robot environment-identification, and the cruising speed of robot is as integrated environment barrier and robot are apart from adaptive change, improve avoidance effect.

Description

A kind of Mobile Robot Obstacle Avoidance control method based on enzyme numerical value membranous system
Technical field
The present invention relates to intelligent robot and control technology field, specially a kind of moving machine based on enzyme numerical value membranous system Device people's avoidance obstacle method.
Background technique
The Buiu of Natural computation team, Bucharest, ROU university proposes for membranous system to be used for robot control earliest System, basic thought are to utilize (subregion computation capability and region internal information exchange) design movement the characteristics of membranous system Robot cognition and behavior controller, this controller is known as film controller, and is able to carry out numerical value meter using numerical value membranous system The characteristics of calculation, is applied to mobile robot behaviour control, realizes the avoid-obstacle behavior of robot, with wall behavior and follows Behavior film controller.
There are cruising speed parameters to fix for the existing Mobile Robot Obstacle Avoidance control method based on enzyme numerical value membranous system, nothing Method takes into account the case where Mobile Robot Obstacle Avoidance effect and forward speed, for this purpose, it is proposed that a kind of based on enzyme numerical value membranous system Mobile Robot Obstacle Avoidance control method.
Summary of the invention
The purpose of the present invention is to provide a kind of Mobile Robot Obstacle Avoidance control methods based on enzyme numerical value membranous system, solve There are cruising speed ginsengs for Mobile Robot Obstacle Avoidance control method mentioned above in the background art based on enzyme numerical value membranous system The problem of the case where number is fixed, and cannot be considered in terms of Mobile Robot Obstacle Avoidance effect and forward speed.
To achieve the above object, the invention provides the following technical scheme: a kind of mobile machine based on enzyme numerical value membranous system People's avoidance obstacle method, acquisition and processing and design avoid-obstacle behavior enzyme numerical value film control system including local environmental information.
Optionally, the specific steps of acquisition and the processing of the local environmental information:
1) local environmental information is obtained, as input
Utilize the n range sensor acquired disturbance object on the mobile robot whole body and the distance value x i of respective sensor;
2) linear transformation is carried out to xi
Linear transformation is carried out to xi by following formula, wherein si is the sensor values after linear transformation, and M is sensor Maximum detecting distance.
si=-xi+M
Optionally, the specific steps of the design avoid-obstacle behavior enzyme numerical value film control system:
Following function is realized by enzyme numerical value membranous system, to realize that avoidance speed calculates.
1) sensor si is multiplied and adds up with weight
Weight variable weightLefti, weightRighti and wi are established for each sensor values si.By sensor values with Weight is multiplied and adds up, and is as a result stored in variable SWL, SWR, SW respectively.I.e.SW=∑ si*wi
2) cruising speed CruiseSpeed is calculated
Cruising speed is calculated using following formula.Wherein, C0 is setting speed, when clear, C0=CruiseSpeed;A is The truth of a matter (0 < a < 1), a value is smaller, and CruiseSpeed fall is bigger;
CruiseSpeed=C0*aSW
3) left and right wheel speed leftSpeed, rightSpeed is calculated, as output
Left and right wheel speed is calculated using following formula, calculated left and right wheel speed is used for mobile robot two-wheel as output Control,
LeftSpeed=CruiseSpeed+SWL
RightSpeed=CruiseSpeed+SWR
4) acquisition local environmental information is jumped to, as input, until robot completes motor task.
The present invention provides a kind of Mobile Robot Obstacle Avoidance control method based on enzyme numerical value membranous system, the beneficial effect having Fruit: by obtaining local environmental information, and the n range sensor acquired disturbance object on the mobile robot whole body and corresponding biography are utilized The distance value x i of sensor, and linear transformation is carried out to xi, obtained sensor si is multiplied and is added up with weight, calculates cruising speed And left and right wheel speed is calculated, so that the control method merges multiple sensor informations, obtain entire Environment Obstacles object and robot The metric of distance reduces the computing cost of robot environment-identification, hinders convenient for the cruising speed of robot with integrated environment Hinder object and robot apart from adaptive change, improves avoidance effect, meanwhile, the control method is parallel by enzyme numerical value membranous system Property, convenient for the avoidance left and right wheels speed computational efficiency of the quickening robot.
Detailed description of the invention
Fig. 1 is a kind of Pioneer3-DX of the Mobile Robot Obstacle Avoidance control method based on enzyme numerical value membranous system of the present invention Sonar distribution schematic diagram;
Fig. 2 is a kind of emulation experiment environment of the Mobile Robot Obstacle Avoidance control method based on enzyme numerical value membranous system of the present invention Schematic diagram;
Fig. 3 is a kind of avoidance obstacle thinking of the Mobile Robot Obstacle Avoidance control method based on enzyme numerical value membranous system of the present invention Schematic diagram;
Fig. 4 is a kind of avoid-obstacle behavior enzyme number of the Mobile Robot Obstacle Avoidance control method based on enzyme numerical value membranous system of the present invention It is worth membranous system schematic diagram;
Fig. 5 is a kind of Mobile Robot Obstacle Avoidance control method based on enzyme numerical value membranous system of the present invention based on enzyme numerical value film The fixation cruising speed avoidance obstacle method emulation experiment schematic diagram of system;
Fig. 6 is a kind of emulation experiment signal of Mobile Robot Obstacle Avoidance control method based on enzyme numerical value membranous system of the present invention Figure.
Specific embodiment
Film calculates the Ge Xin branch that (or membranous system) is Natural computation, earliest by Romanian academy of sciences academician, Europe Academy of sciences academician, international mathematics chemical science institute academician Gheorghe P ǎ un proposed that complete paper was sent out in 2000 in 1998 Table.Film has calculated since proposition, receives the concern of numerous scholars.Due to membranous system have the same computing capability of Turing machine with And membranous system has the characteristics that concurrency, distributivity, helps to improve controller meter using membrane system design robot controller Calculate efficiency.
Please refer to Fig. 1-6, the present invention provides a kind of technical solution: a kind of mobile robot based on enzyme numerical value membranous system is kept away Hinder control method, acquisition and processing and design avoid-obstacle behavior enzyme numerical value film control system including local environmental information.
Further, the specific steps of acquisition and the processing of local environmental information:
1) local environmental information is obtained, as input
Utilize the n range sensor acquired disturbance object on the mobile robot whole body and the distance value x i of respective sensor;
2) linear transformation is carried out to xi
Linear transformation is carried out to xi by following formula, wherein si is the sensor values after linear transformation, and M is sensor Maximum detecting distance.
si=-xi+M
Further, the specific steps of avoid-obstacle behavior enzyme numerical value film control system are designed:
Following function is realized by enzyme numerical value membranous system, to realize that avoidance speed calculates.
1) sensor si is multiplied and adds up with weight
Weight variable weightLefti, weightRighti and wi are established for each sensor values si.By sensor values with Weight is multiplied and adds up, and is as a result stored in variable SWL, SWR, SW respectively.I.e.SW=∑ si*wi
2) cruising speed CruiseSpeed is calculated
Cruising speed is calculated using following formula.Wherein, C0 is setting speed, when clear, C0=CruiseSpeed;A is The truth of a matter (0 < a < 1), a value is smaller, and CruiseSpeed fall is bigger;
CruiseSpeed=C0*aSW
3) left and right wheel speed leftSpeed, rightSpeed is calculated, as output
Left and right wheel speed is calculated using following formula, calculated left and right wheel speed is used for mobile robot two-wheel as output Control,
LeftSpeed=CruiseSpeed+SWL
RightSpeed=CruiseSpeed+SWR
4) acquisition local environmental information is jumped to, as input, until robot completes motor task.
Embodiment 1
Referring to attached drawing 3, the present invention takes following steps:
One, the acquisition and processing of local environmental information
Step 1. obtains local environmental information, as input
Utilize 16 sonar sensor acquired disturbance objects on the mobile robot whole body and the distance value x i of respective sensor.
Step 2. carries out linear transformation to xi
Linear transformation is carried out to xi by following formula, wherein si is the sensor values after linear transformation, and M is sensor Maximum detecting distance.Herein, M=1000mm
si=-xi+M
Two, avoid-obstacle behavior enzyme numerical value film control system is designed
Design avoid-obstacle behavior enzyme numerical value membranous system as shown in Figure 4.Membranous system realizes following function by 3 iterative calculation, To realize that avoidance speed calculates.
Step 3. sensor si is multiplied and adds up with weight
It creates 16 film Sensori (i=1 ..., 16), a sensor si and weight is completed in each film Sensori Product calculates, i.e. si*weightLefti、si*weightRighti、si*wi, such as rule 1,2,3 in film Sensori.16 films are complete At the cumulative of 16 sensors and weight product, as a result it is stored in variable SWL, SWR, SW.The step is in membranous system first time It is completed in iterative calculation.
Step 4. calculates cruising speed CruiseSpeed
The calculating that Calculate_CruiseSpeed film completes cruising speed is created, as shown in Figure 4.Film Calculate_ Rule 1 completes cruising speed calculating in CruiseSpeed, and rule 2,3 is saved for the first time by variable SWL_temp, SWR_temp Result SWL, SWR of iterative calculation.
Step 5. calculates left and right wheel speed leftSpeed, rightSpeed, as output
The calculating that Calculate_Speed film completes avoidance or so wheel speed is created, as shown in Figure 4.Film Calculate_ Rule 1 completes revolver speed leftSpeed calculating in Speed, and rule 2 is completed right wheel speed rightSpeed and calculated.Calculate knot Fruit exports to mobile robot, to control the two-wheel speed of robot, realizes that a wheel robot avoidance speed calculates.
Step 6. jumps to step 1, until robot completes motor task.
Embodiment 2
It can be seen that from the experimental result of Fig. 5,6 compared to fixed cruising speed avoidance obstacle method, avoidance control of the present invention Method processed being capable of better avoiding obstacles.
Embodiment 3
The present invention is emulated in PC machine.Computer used in emulation experiment is association G470 2.3GHz, 6G RAM, operating system Window7, emulation platform MobileSim, emulated robot Pioneer3-DX, robot size 52*40cm.Emulated robot is equipped with 16 sonar sensors, distribution such as Fig. 1.Simulated environment as shown in Fig. 2, include in environment The channel 100cm, the channel 80cm, two barriers for being spaced 60cm etc..
In conclusion a kind of Mobile Robot Obstacle Avoidance control method based on enzyme numerical value membranous system, in use, logical first Acquisition local environmental information is crossed, as input, then utilizes the n range sensor acquired disturbance object and phase on the mobile robot whole body The distance value x i of inductive sensing device, and linear transformation is carried out to xi, then sensor is multiplied and is added up with weight, and to cruising speed Calculating operation is carried out, then, calculates left and right wheel speed, as output, and by whether completing motor task judgement, if jump Acquisition local environmental information is gone to, as circulate operation again is inputted, until robot completes motor task.
The foregoing is only a preferred embodiment of the present invention, but scope of protection of the present invention is not limited thereto, Anyone skilled in the art in the technical scope disclosed by the present invention, according to the technique and scheme of the present invention and its Inventive concept is subject to equivalent substitution or change, should be covered by the protection scope of the present invention.

Claims (3)

1. a kind of Mobile Robot Obstacle Avoidance control method based on enzyme numerical value membranous system, acquisition and place including local environmental information Reason and design avoid-obstacle behavior enzyme numerical value film control system.
2. a kind of Mobile Robot Obstacle Avoidance control method based on enzyme numerical value membranous system according to claim 1, feature It is: the specific steps of acquisition and the processing of the local environmental information:
1) local environmental information is obtained, as input
Utilize the n range sensor acquired disturbance object on the mobile robot whole body and the distance value x i of respective sensor;
2) linear transformation is carried out to xi
By following formula to xi carry out linear transformation, wherein si be linear transformation after sensor values, M be sensor most Big detecting distance.
si=-xi+M。
3. a kind of Mobile Robot Obstacle Avoidance control method based on enzyme numerical value membranous system according to claim 1, feature It is: the specific steps of the design avoid-obstacle behavior enzyme numerical value film control system:
Following function is realized by enzyme numerical value membranous system, to realize that avoidance speed calculates.
1) sensor si is multiplied and adds up with weight
Weight variable weightLefti, weightRighti and wi are established for each sensor values si.By sensor values and weight It is multiplied and adds up, be as a result stored in variable SWL, SWR, SW respectively.I.e.SWR=∑ si*weightRighti, SW=∑ si*wi
2) cruising speed CruiseSpeed is calculated
Cruising speed is calculated using following formula.Wherein, C0 is setting speed, when clear, C0=CruiseSpeed;A is the truth of a matter (0 < a < 1), a value is smaller, and CruiseSpeed fall is bigger;
CruiseSpeed=C0*aSW
3) left and right wheel speed leftSpeed, rightSpeed is calculated, as output
Left and right wheel speed is calculated using following formula, calculated left and right wheel speed is controlled as output for mobile robot two-wheel,
LeftSpeed=CruiseSpeed+SWL
RightSpeed=CruiseSpeed+SWR
4) acquisition local environmental information is jumped to, as input, until robot completes motor task.
CN201910483252.7A 2019-06-04 2019-06-04 Mobile robot obstacle avoidance control method based on enzyme numerical value membrane system Expired - Fee Related CN110262481B (en)

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Citations (16)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2008021612A2 (en) * 2006-07-05 2008-02-21 Battelle Energy Alliance, Llc Autonomous navigation system and method
CN101776863B (en) * 2009-11-17 2011-07-27 中国科学院自动化研究所 Movement control method of pectoral fin impelling type machine fish
CN102313536A (en) * 2011-07-21 2012-01-11 清华大学 Method for barrier perception based on airborne binocular vision
US8355818B2 (en) * 2009-09-03 2013-01-15 Battelle Energy Alliance, Llc Robots, systems, and methods for hazard evaluation and visualization
US8442714B2 (en) * 2007-04-12 2013-05-14 Panasonic Corporation Autonomous mobile device, and control device and program product for the autonomous mobile device
EP2738637A2 (en) * 2012-11-30 2014-06-04 Samsung Electronics Co., Ltd Cleaning robot and control method thereof
CN205002259U (en) * 2015-08-27 2016-01-27 北京米微环保科技有限公司 Air purifier robot
CN107219850A (en) * 2017-05-25 2017-09-29 深圳众厉电力科技有限公司 A kind of automatic Pathfinding system of robot based on machine vision
CN107438873A (en) * 2017-07-07 2017-12-05 驭势科技(北京)有限公司 A kind of method and apparatus for being used to control vehicle to travel
CN107807669A (en) * 2017-12-01 2018-03-16 西华大学 Control method, device and read/write memory medium based on enzyme numerical value membrane structure
CN107924617A (en) * 2015-08-19 2018-04-17 索尼公司 System and method for determining navigation information for autonomous vehicle
US20180200891A1 (en) * 2017-01-18 2018-07-19 International Business Machines Corporation Monitoring and controlling the movement of mobile robots
CN108469825A (en) * 2018-04-19 2018-08-31 河南科技学院 A kind of intelligent patrol system and its construction method based on bus or train route collaboration
CN109164812A (en) * 2018-10-23 2019-01-08 西南交通大学 Mobile robot multirow is fusion enzyme numerical value film control method under a kind of circumstances not known
CN109367537A (en) * 2018-12-06 2019-02-22 吉林大学 A kind of electric car adaptive cruise control system and method based on car networking
CN109542099A (en) * 2018-11-26 2019-03-29 江苏农牧科技职业学院 A kind of agricultural machinery control method

Patent Citations (16)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2008021612A2 (en) * 2006-07-05 2008-02-21 Battelle Energy Alliance, Llc Autonomous navigation system and method
US8442714B2 (en) * 2007-04-12 2013-05-14 Panasonic Corporation Autonomous mobile device, and control device and program product for the autonomous mobile device
US8355818B2 (en) * 2009-09-03 2013-01-15 Battelle Energy Alliance, Llc Robots, systems, and methods for hazard evaluation and visualization
CN101776863B (en) * 2009-11-17 2011-07-27 中国科学院自动化研究所 Movement control method of pectoral fin impelling type machine fish
CN102313536A (en) * 2011-07-21 2012-01-11 清华大学 Method for barrier perception based on airborne binocular vision
EP2738637A2 (en) * 2012-11-30 2014-06-04 Samsung Electronics Co., Ltd Cleaning robot and control method thereof
CN107924617A (en) * 2015-08-19 2018-04-17 索尼公司 System and method for determining navigation information for autonomous vehicle
CN205002259U (en) * 2015-08-27 2016-01-27 北京米微环保科技有限公司 Air purifier robot
US20180200891A1 (en) * 2017-01-18 2018-07-19 International Business Machines Corporation Monitoring and controlling the movement of mobile robots
CN107219850A (en) * 2017-05-25 2017-09-29 深圳众厉电力科技有限公司 A kind of automatic Pathfinding system of robot based on machine vision
CN107438873A (en) * 2017-07-07 2017-12-05 驭势科技(北京)有限公司 A kind of method and apparatus for being used to control vehicle to travel
CN107807669A (en) * 2017-12-01 2018-03-16 西华大学 Control method, device and read/write memory medium based on enzyme numerical value membrane structure
CN108469825A (en) * 2018-04-19 2018-08-31 河南科技学院 A kind of intelligent patrol system and its construction method based on bus or train route collaboration
CN109164812A (en) * 2018-10-23 2019-01-08 西南交通大学 Mobile robot multirow is fusion enzyme numerical value film control method under a kind of circumstances not known
CN109542099A (en) * 2018-11-26 2019-03-29 江苏农牧科技职业学院 A kind of agricultural machinery control method
CN109367537A (en) * 2018-12-06 2019-02-22 吉林大学 A kind of electric car adaptive cruise control system and method based on car networking

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
CATALINBUIU等: "Development of membrane controllers for mobile robots", 《INFORMATION SCIENCES》 *
CHAOMIN LUO等: "Real-time area-covering operations with obstacle avoidance for cleaning robots", 《IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS》 *
PAVEL AB等: "Using enzymatic numerical P systems for modeling mobile robot controllers", 《NATURAL COMPUTING》 *
王争一: "酶数值膜系统仿真器设计与实现", 《中国优秀硕士学位论文全文数据库 信息科技辑》 *

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