CN105093923A - Football robot bottom control method based on fuzzy control - Google Patents

Football robot bottom control method based on fuzzy control Download PDF

Info

Publication number
CN105093923A
CN105093923A CN201510355372.0A CN201510355372A CN105093923A CN 105093923 A CN105093923 A CN 105093923A CN 201510355372 A CN201510355372 A CN 201510355372A CN 105093923 A CN105093923 A CN 105093923A
Authority
CN
China
Prior art keywords
control
fuzzy
deviation
soccer robot
controls
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201510355372.0A
Other languages
Chinese (zh)
Inventor
杨海霞
黄红林
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Individual
Original Assignee
Individual
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Individual filed Critical Individual
Priority to CN201510355372.0A priority Critical patent/CN105093923A/en
Publication of CN105093923A publication Critical patent/CN105093923A/en
Pending legal-status Critical Current

Links

Landscapes

  • Feedback Control In General (AREA)

Abstract

The invention discloses a football robot bottom control method based on a fuzzy control, comprising steps of (a) given value comparison, (b) fuzzy processing, (c) parameter correction, and (d) real time optimization. The parameter correction comprises the step of taking a corrected controller output as an input of a DC motor so as to adjust the position and the angle of the football robot to achieve controlling. The real time optimization comprises the step of re-measuring a transmission potion and an angle to perform second correction. By combining the fuzzy control and regular PID control, the invention compensates the defects of the fuzzy control and the regular PID, which is high in control accuracy, good in control effect, simple in controlling rule, can perform online real-time PID parameter adjustment, greatly reduces the variance between the position and the angle, effectively improves the reaction speed and the position control precision of the process system, and is easy to realize the control of the computer.

Description

A kind of method of the Soccer robot bottom control based on fuzzy control
[technical field]
The present invention relates to Soccer robot technical field, particularly based on the technical field of the Soccer robot bottom control method of fuzzy control.
[background technology]
Soccer robot is a system ensemble integrating environment sensing, dynamic decision and Behavior-Based control.Just as the result of a upper joint emulation, in the real racetrack of Soccer robot, basic motion control is it the most substantially, is also a very important ring, enables accurately and realize location rapidly to go to destination.At present, comparatively conventional control mode mainly pid control law and fuzzy logic control method.The shortcoming that traditional PI D exists in motion control: under the impact of each disturbing factor on the delayed and field of the non complete symmetry of control left and right wheels motor, image recognition inexactness and image acquisition etc., make the motion of robot have non-linear, interference is large, time becomes and the characteristic such as uncertain, can not reach good control effects by traditional PID controller.
Fuzzy control utilizes fuzzy set theory, the control strategy of human expert's natural language description is converted into the algorithmic language that computing machine can accept, thus the intelligence of simulating human, realize effective control of production run, be very suitable for controlling complicated, non-linear, large time delay and the serious controlled device of uncertainty.The fuzzy PD controller is on the basis of common PD controller, adds a fuzzy control link and forms, and according to real time data, on-line tuning two parameters, thus reach good control effects.
[summary of the invention]
Object of the present invention solves the problems of the prior art exactly, a kind of method of the Soccer robot bottom control based on fuzzy control is proposed, obviously can reduce the variance of its motion control middle distance and angle, effectively improve the control accuracy of procedures system, and be easy to realize computing machine control.
For achieving the above object, the present invention proposes a kind of method of the Soccer robot bottom control based on fuzzy control, described control method utilizes the form of Fuzzy PD Control to carry out tracing control to Soccer robot basic motion process, and concrete steps comprise:
A () set-point compares: the Position And Velocity instantaneous value being obtained current Soccer robot by video camera, compares the rate of change ec of calculation deviation e and deviation with position and angle setpoint;
B () deviation ratio is comparatively: when deviation is greater than threshold value e 0time, adopt pure ratio to control; When deviation is less than or equal to threshold value, adopt fuzzy control;
(c) Fuzzy Processing: using the input of the rate of change ec of deviation e and deviation as fuzzy controller, obtained the modified value of PD two parameters by obfuscation, fuzzy reasoning, de-fuzzy etc.;
D () parameters revision: revised controller is exported the input as direct current generator, thus the position of adjustment Soccer robot and angle, reach the object of control;
(e) real-time optimization: again measure delivering position and angle and carry out second time correction.
As preferably, described position and angular deviation e=setting value yo-t moment measured value y1; Described position and angular deviation derivative ec=(t+T moment measured value y2-t moment measured value y1)/sampling period T.
As preferably, described the fuzzy PD controller is that two parameter P of PID controller, correction △ Kp, the △ Kd of D are as output using position and angular deviation e and deviation derivative ec as input.
As preferably, described controller, for reducing fuzzy rule and calculated amount, meets the realtime control of Soccer robot, adopts the method that threshold segmentation controls.
As preferably, the fuzzification process of described the fuzzy PD controller be fetch bit put with angular deviation e and deviation derivative ec and exports △ Kp, △ Kd fuzzy subset for NB, NS, ZO, PS, PB}, in subset, element represents negative large respectively, bears little, zero, just little, honest.
As preferably, the fuzzy reasoning process of described the fuzzy PD controller, for setting up fuzzy control rule table, obtains position and angular deviation e and deviation derivative ec and exports the membership function relation of △ Kp, △ Kd.
As preferably, described the fuzzy PD controller considers the requirement of Soccer robot real-time performance, adopts the form of two-output impulse generator, i.e. Fuzzy PD Control.
Beneficial effect of the present invention: the combination that the present invention is controlled by fuzzy control and conventional PD, compensate for the defect that both are respective, consider the requirement of Soccer robot real-time performance, adopt the form of two-output impulse generator, i.e. Fuzzy PD Control, fuzzy control is very suitable for controlling complicated, non-linear, large time delay and the serious controlled device of uncertainty, and has stronger robustness, does not need to set up accurate mathematical model; Fuzzy PD Control Soccer robot basic motion is used to control, control accuracy is high, control effects is good, control law is simple, online PD parameter tuning in real time can be carried out, obviously can reduce the variance of position and angle, effectively improve reaction velocity and the control position precision of procedures system, and be easy to realize computing machine control.
Feature of the present invention and advantage will be described in detail by reference to the accompanying drawings by embodiment.
[accompanying drawing explanation]
Fig. 1 is the membership function statement of the Soccer robot basic motion control method of a kind of Fuzzy PD Control of the present invention;
Fig. 2 is the control block diagram of the Soccer robot basic motion control method of a kind of Fuzzy PD Control of the present invention;
Fig. 3 is the control flow chart of the Soccer robot basic motion control method of a kind of Fuzzy PD Control of the present invention.
[embodiment]
Consult Fig. 1, Fig. 2 and Fig. 3, the present invention, concrete steps comprise:
Step one, obtained the Position And Velocity instantaneous value of current Soccer robot by video camera, compare the rate of change ec of calculation deviation e and deviation with position and angle setpoint;
Step 2, using the input of the rate of change ec of deviation e and deviation as the fuzzy PD controller, obtained the modified value of PD two parameters by obfuscation, fuzzy reasoning, de-fuzzy etc.;
Step 3, revised controller is exported the input as direct current generator, thus the position of adjustment Soccer robot and angle, reach the object of control;
Step 4, again measure delivering position and angle and carry out second time correction.
Described position and angular deviation e=position and angle setpoint yo-t moment measured value y1; Described position and angular deviation derivative ec=(t+T moment measured value y2-t moment measured value y1)/sampling period T.Described fuzzy controller is that two parameter P of PD controller, correction △ Kp, the △ Kd of D are as output using position and angular deviation e and position and angular deviation derivative ec as input.The fuzzification process of described the fuzzy PD controller be fetch bit put with angular deviation e and position and angular deviation derivative ec and exports △ Kp, △ Kd fuzzy subset for NB, NS, ZO, PS, PB}, in subset, element represents negative large respectively, bears little, zero, just little, honest.The fuzzy reasoning process of described the fuzzy PD controller, for setting up fuzzy control rule table, obtains position and angular deviation e and position and angular deviation derivative ec and exports the membership function relation of △ Kp, △ Ki, △ Kd.
The course of work of the present invention:
The Soccer robot basic motion control method of a kind of Fuzzy PD Control of the present invention in the course of the work, carried out position and the Angle ambiguity of Soccer robot basic motion by method fuzzy control and conventional PD being controlled to combine, determine that the membership function of position and angular deviation e and deviation derivative value ec can obtain the control law of output variable △ Kp, △ Kd according to pid parameter Adjustment principle.Subordinate list is as follows:
The combination that the present invention is controlled by fuzzy control and conventional PD, compensate for the defect that both are respective, consider the requirement of Soccer robot real-time performance, adopt the form of two-output impulse generator, i.e. Fuzzy PD Control, fuzzy control is very suitable for controlling complicated, non-linear, large time delay and the serious controlled device of uncertainty, and has stronger robustness, does not need to set up accurate mathematical model; Fuzzy PD Control Soccer robot basic motion is used to control, control accuracy is high, control effects is good, control law is simple, online PD parameter tuning in real time can be carried out, obviously can reduce position and angle overshoot, effectively improve reaction velocity and the control position precision of procedures system, and be easy to realize computing machine control.
Above-described embodiment is to explanation of the present invention, is not limitation of the invention, anyly all belongs to protection scope of the present invention to the scheme after simple transformation of the present invention.

Claims (7)

1. based on the method that the Soccer robot basic motion of fuzzy control controls, it is characterized in that: the form that described control method utilizes fuzzy control and PD to control to combine carries out tracing control to Soccer robot basic motion, and concrete steps comprise:
A () set-point compares: the Position And Velocity instantaneous value being obtained current Soccer robot by video camera, compares the rate of change ec of calculation deviation e and deviation with position and angle setpoint;
B () deviation ratio is comparatively: when deviation is greater than threshold value e 0time, adopt pure ratio to control; When deviation is less than or equal to threshold value, adopt fuzzy control;
(c) Fuzzy Processing: using the input of the rate of change ec of deviation e and deviation as fuzzy controller, obtained the modified value of PD two parameters by obfuscation, fuzzy reasoning, de-fuzzy etc.;
D () parameters revision: revised controller is exported the input as direct current generator, thus the position of adjustment Soccer robot and angle, reach the object of control;
(e) real-time optimization: again measure delivering position and angle and carry out second time correction.
2. a kind of method that controls of Soccer robot basic motion based on fuzzy control as claimed in claim 1, is characterized in that: in step (a), described position and angular deviation e=setting value yo-t moment measured value y1; Described position and angular deviation derivative ec=(t+T moment measured value y2-t moment measured value y1)/sampling period T.
3. a kind of method that controls of Soccer robot basic motion based on fuzzy control as claimed in claim 1, it is characterized in that: in step (b), for reducing fuzzy rule and calculated amount, meeting the realtime control of Soccer robot, adopting the method that threshold segmentation controls.
4. a kind of method that controls of Soccer robot basic motion based on fuzzy control as claimed in claim 1, it is characterized in that: in step (c), described the fuzzy PD controller is that two parameter P of PD controller, correction △ Kp, the △ Kd of D are as output using position and angular deviation e and deviation derivative ec as input.
5. a kind of method that controls of Soccer robot basic motion based on fuzzy control as claimed in claim 1, it is characterized in that: in step (c), the fuzzification process of described the fuzzy PD controller be fetch bit put with angular deviation e and deviation derivative ec and export △ Kp, △ Kd fuzzy subset is { NB, NS, ZO, PS, PB}, in subset, element represents negative large respectively, negative little, zero, just little, honest.
6. a kind of method that controls of Soccer robot basic motion based on fuzzy control as claimed in claim 1, it is characterized in that: in step (c), consider the requirement of Soccer robot real-time performance, adopt the form of two-output impulse generator, i.e. Fuzzy PD Control.
7. a kind of method that controls of Soccer robot basic motion based on fuzzy control as claimed in claim 1, it is characterized in that: in step (d), the fuzzy reasoning process of described the fuzzy PD controller, for setting up fuzzy control rule table, obtains position and angular deviation e and deviation derivative ec and exports the membership function relation of △ Kp, △ Kd.
CN201510355372.0A 2015-06-23 2015-06-23 Football robot bottom control method based on fuzzy control Pending CN105093923A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201510355372.0A CN105093923A (en) 2015-06-23 2015-06-23 Football robot bottom control method based on fuzzy control

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201510355372.0A CN105093923A (en) 2015-06-23 2015-06-23 Football robot bottom control method based on fuzzy control

Publications (1)

Publication Number Publication Date
CN105093923A true CN105093923A (en) 2015-11-25

Family

ID=54574629

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201510355372.0A Pending CN105093923A (en) 2015-06-23 2015-06-23 Football robot bottom control method based on fuzzy control

Country Status (1)

Country Link
CN (1) CN105093923A (en)

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105955015A (en) * 2016-05-17 2016-09-21 成都奥特为科技有限公司 Fuzzy control method used for exoskeleton system
CN107612433A (en) * 2017-11-08 2018-01-19 上海航天控制技术研究所 Brushless electric machine list closed loop control method based on modified velocity close-loop control algorithm
CN108052002A (en) * 2017-11-21 2018-05-18 杭州电子科技大学 A kind of intelligent automobile automatic tracking method of improved fuzzy
CN110308647A (en) * 2019-06-14 2019-10-08 南京理工大学 The unmanned plane three-stage fuzzy PID control method of the input item containing error intergal
CN113917917A (en) * 2021-09-24 2022-01-11 四川启睿克科技有限公司 Obstacle avoidance method and device for indoor bionic multi-legged robot and computer readable medium

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1393746A (en) * 2001-07-02 2003-01-29 李晓枫 Self-adaptive fuzzy controller for PID parameters
CN102032640A (en) * 2009-09-25 2011-04-27 西安西翼智能科技有限公司 Fuzzy proportion integration differentiation (PID) control method and device for industrial environment high-precision air conditioner
CN104199283A (en) * 2014-06-30 2014-12-10 张万军 Test system and control method for electro-hydraulic servo online self-adjusting fuzzy PID control
CN104281057A (en) * 2014-09-22 2015-01-14 国家电网公司 Composite PID fuzzy control method applied to transformer cooling system

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1393746A (en) * 2001-07-02 2003-01-29 李晓枫 Self-adaptive fuzzy controller for PID parameters
CN102032640A (en) * 2009-09-25 2011-04-27 西安西翼智能科技有限公司 Fuzzy proportion integration differentiation (PID) control method and device for industrial environment high-precision air conditioner
CN104199283A (en) * 2014-06-30 2014-12-10 张万军 Test system and control method for electro-hydraulic servo online self-adjusting fuzzy PID control
CN104281057A (en) * 2014-09-22 2015-01-14 国家电网公司 Composite PID fuzzy control method applied to transformer cooling system

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
高健: "基于视觉的移动机器人运动控制研究", 《中国优秀博硕士学位论文全文数据库 (硕士) 信息科技辑》 *

Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105955015A (en) * 2016-05-17 2016-09-21 成都奥特为科技有限公司 Fuzzy control method used for exoskeleton system
CN107612433A (en) * 2017-11-08 2018-01-19 上海航天控制技术研究所 Brushless electric machine list closed loop control method based on modified velocity close-loop control algorithm
CN107612433B (en) * 2017-11-08 2020-03-24 上海航天控制技术研究所 Brushless motor single closed-loop control method based on improved speed closed-loop control algorithm
CN108052002A (en) * 2017-11-21 2018-05-18 杭州电子科技大学 A kind of intelligent automobile automatic tracking method of improved fuzzy
CN110308647A (en) * 2019-06-14 2019-10-08 南京理工大学 The unmanned plane three-stage fuzzy PID control method of the input item containing error intergal
CN110308647B (en) * 2019-06-14 2022-05-17 南京理工大学 Unmanned aerial vehicle three-section fuzzy PID control method containing error integral input item
CN113917917A (en) * 2021-09-24 2022-01-11 四川启睿克科技有限公司 Obstacle avoidance method and device for indoor bionic multi-legged robot and computer readable medium
CN113917917B (en) * 2021-09-24 2023-09-15 四川启睿克科技有限公司 Obstacle avoidance method and device for indoor bionic multi-legged robot and computer readable medium

Similar Documents

Publication Publication Date Title
CN105093923A (en) Football robot bottom control method based on fuzzy control
WO2017063453A1 (en) Industrial robot process cloud system and working method therefor
CN105425791B (en) A kind of the group robot control system and method for view-based access control model positioning
CN104808590B (en) Mobile robot visual servo control method based on key frame strategy
CN108681243B (en) Robot trajectory tracking method
CN108614560A (en) A kind of mobile robot visual servo guaranteed cost tracking and controlling method
CN108839026A (en) A kind of mobile robot visual servo tracking forecast Control Algorithm
CN103926830B (en) A kind of parameters on line modifying method and system of fractional order PI controllers
CN104753439B (en) A kind of PID intelligent speed-regulating methods of motor
Du et al. Real-time H∞ control of networked inverted pendulum visual servo systems
CN105929791B (en) The direct contour outline control method of plane rectangular coordinates kinematic system
CN105196292A (en) Visual servo control method based on iterative duration variation
CN110262229A (en) Vehicle Adaptive Path method for tracing based on MPC
CN102509152A (en) Switched reluctance motor on-line modeling method based RBF neural network
CN103631142A (en) Iterative learning algorithm for trajectory tracking of wheeled robot
CN107807522A (en) Underwater robot track following backstepping control method
CN109901511A (en) A kind of control algolithm of servo-system profile errors
CN103978488A (en) Transfer robot based on cloud model control system
WO2017166302A1 (en) Pid regulation algorithm, pid regulator and pid regulation system
CN110347038B (en) Two-degree-of-freedom Smith estimation control method in cement clinker cooling process
Luo et al. Research on mobile robot path tracking based on color vision
Wang et al. Fuzzy-PI double-layer stability control of an online vision-based tracking system
CN108132596B (en) Design method of differential advanced generalized intelligent internal model set PID controller
Cui et al. Application of self-tuning of PID control based on BP neural networks in the mobile robot target tracking
Mehta et al. On achieving bounded harvest times in robotic fruit harvesting: A finite-time visual servo control approach

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
WD01 Invention patent application deemed withdrawn after publication
WD01 Invention patent application deemed withdrawn after publication

Application publication date: 20151125