CN114185263A - Vibration control method - Google Patents

Vibration control method Download PDF

Info

Publication number
CN114185263A
CN114185263A CN202111470772.8A CN202111470772A CN114185263A CN 114185263 A CN114185263 A CN 114185263A CN 202111470772 A CN202111470772 A CN 202111470772A CN 114185263 A CN114185263 A CN 114185263A
Authority
CN
China
Prior art keywords
vibration
controller
signal
control method
initial
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
CN202111470772.8A
Other languages
Chinese (zh)
Inventor
龚学鹏
白洋
卢启鹏
宋源
王大壮
彭忠琦
毛琪俊
马天宇
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.)
Changchun Institute of Optics Fine Mechanics and Physics of CAS
Original Assignee
Changchun Institute of Optics Fine Mechanics and Physics of CAS
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 Changchun Institute of Optics Fine Mechanics and Physics of CAS filed Critical Changchun Institute of Optics Fine Mechanics and Physics of CAS
Priority to CN202111470772.8A priority Critical patent/CN114185263A/en
Publication of CN114185263A publication Critical patent/CN114185263A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B11/00—Automatic controllers
    • G05B11/01—Automatic controllers electric
    • G05B11/36—Automatic controllers electric with provision for obtaining particular characteristics, e.g. proportional, integral, differential
    • G05B11/42—Automatic controllers electric with provision for obtaining particular characteristics, e.g. proportional, integral, differential for obtaining a characteristic which is both proportional and time-dependent, e.g. P. I., P. I. D.

Landscapes

  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Automation & Control Theory (AREA)
  • Feedback Control In General (AREA)

Abstract

本发明提供一种振动控制方法，包括以下步骤：S1、通过振动源产生初始振动信号；S2、将初始振动信号与期望值输入至第一振动控制器进行第一次的振动控制，并计算残余误差信号；S3、将残余误差信号输出至第二振动控制器进行第二次的振动控制。第一振动控制器是基于RLS算法的振动主动控制器，第二振动控制器是基于模糊算法自整定PID参数的主动控制器，本发明提供的基于RLS和自适应模糊PID混合算法的振动控制方法，在随机振动信号、谐波振动信号或阶跃振动信号激励下，具有更快的响应速度，鲁棒性好，从而改善了振动抑制效果，提高了收敛精度。

Figure 202111470772

The present invention provides a vibration control method, comprising the following steps: S1, generating an initial vibration signal through a vibration source; S2, inputting the initial vibration signal and an expected value to a first vibration controller for the first vibration control, and calculating the residual error signal; S3, output the residual error signal to the second vibration controller for the second vibration control. The first vibration controller is an active vibration controller based on RLS algorithm, the second vibration controller is an active controller based on fuzzy algorithm self-tuning PID parameters, the present invention provides a vibration control method based on RLS and adaptive fuzzy PID hybrid algorithm , Under the excitation of random vibration signal, harmonic vibration signal or step vibration signal, it has a faster response speed and good robustness, thereby improving the vibration suppression effect and improving the convergence accuracy.

Figure 202111470772

Description

Vibration control method
Technical Field
The invention relates to the technical field of active control, in particular to a vibration control method.
Background
Active control techniques have received much attention because of their good effectiveness in controlling low frequency vibrations. The vibration control method based on the RLS algorithm has the characteristics of good effect, strong adaptability and the like, and is widely applied to the field of vibration active control, but the RLS algorithm has low convergence precision and unsatisfactory vibration suppression effect under the condition of complex vibration signals; when the nonlinearity of the system and the fluctuation of system parameters along with external interference are large, the adaptive fuzzy control PID algorithm utilizes the online change of the parameters of the PID controller to greatly enhance the adaptive capacity to environmental change, thereby ensuring the dynamic response effect, improving the steady-state control precision and ensuring the comprehensive control effect of the system to be excellent. The vibration control method based on the RLS-adaptive fuzzy PID hybrid algorithm can make up for the defects of low convergence precision and unsatisfactory vibration suppression effect under certain conditions, thereby obtaining the optimal vibration suppression effect.
Disclosure of Invention
In order to overcome the defect of the vibration suppression effect of the traditional RLS algorithm under the condition of complex vibration signals, the invention aims to provide a vibration control method, which improves the vibration suppression effect and improves the convergence precision by combining the RLS algorithm and the self-adaptive fuzzy PID algorithm.
In order to achieve the purpose, the invention adopts the following specific technical scheme:
the invention provides a vibration control method, which comprises the following steps:
s1, generating an initial vibration signal through a vibration source;
s2, inputting the initial vibration signal and the expected value to a first vibration controller to perform first vibration control, and calculating a residual error signal;
and S3, outputting the residual error signal to a second vibration controller to perform the second vibration control.
Preferably, the calculation formula of the actual output value y (n) of the first vibration controller is:
y(n)＝w(n)Tu(n) (1.8)
wherein u (n) is an initial vibration signal, w (n) is a weight of the first vibration controller, and n is time;
the residual error signal e (n) is calculated by:
e(n)＝d(n)-y(n) (1.9)
where d (n) is the desired output value of the first vibration controller.
Preferably, the weight value is updated by the following formula:
w (n) ═ w (n-1) + k (n) e (n) (1.10) where k (n) is the gain vector, which is calculated as:
Figure BDA0003392014190000021
where λ is the forgetting factor and p (n) is the covariance matrix.
Preferably, the covariance matrix p (n) is calculated as:
Figure BDA0003392014190000022
preferably, the second vibration controller calculates a residual vibration signal from the residual error signal.
The residual vibration signal is calculated by the formula:
Figure BDA0003392014190000023
wherein, KP、KI、KDRespectively are the integral proportional coefficients under the fuzzy rule; n is the filter coefficient of the PID controller, TsFor discrete time, 1/S is the time constant after Laplace transform.
Preferably, the calculation formula of the setting proportion coefficient is as follows:
Figure BDA0003392014190000024
KP0is said KPAn initial value of (1); Δ KPA parameter change value adjusted for the adaptive fuzzy controller;
KI0is said KIAn initial value of (1); Δ KIA parameter change value adjusted for the adaptive fuzzy controller;
KD0is said KDAn initial value of (1); Δ KDA parameter change value adjusted for the adaptive fuzzy controller.
Preferably, the first vibration controller is a vibration active controller based on the RLS algorithm.
Preferably, the second vibration controller is an active controller that self-tunes the PID parameters based on a fuzzy algorithm and is combined as an adaptive fuzzy P, adaptive fuzzy PD or adaptive fuzzy PI controller.
Preferably, the initial vibration signal is: a random vibration signal, a harmonic vibration signal, or a step vibration signal.
The present invention also provides a vibration control system comprising: the device comprises a vibration source, an adder, a first vibration controller, a second vibration controller and an oscilloscope;
the vibration source is used for generating an initial vibration signal;
the adder is used for performing addition operation on the initial vibration signal and outputting the initial vibration signal to the first vibration controller;
the first vibration controller is used for carrying out first vibration control on the initial vibration signal, calculating a residual error signal and outputting the residual error signal to the second vibration controller;
the second vibration controller is used for carrying out vibration control on the residual error signal for the second time.
Compared with the prior art, the method has the advantages that the vibration suppression effect is improved and the convergence precision is improved in a mode of combining the RLS algorithm and the self-adaptive fuzzy PID algorithm.
Drawings
Fig. 1 is a schematic diagram of a basic structure of an active vibration control method according to an embodiment of the present invention.
Fig. 2 is a flowchart of an active vibration control method according to an embodiment of the present invention.
Fig. 3 is a schematic diagram of a Simulink model of an active vibration control method according to an embodiment of the present invention.
Fig. 4 is a schematic diagram of the vibration control effect of the vibration active control method under the excitation of a random signal according to the embodiment of the present invention.
Fig. 5 is a schematic diagram of the vibration control effect of the vibration active control method under excitation of harmonic signals according to the embodiment of the present invention.
Fig. 6 is a schematic diagram of the vibration control effect of the vibration active control method under the excitation of the step signal according to the embodiment of the invention.
Detailed Description
Hereinafter, embodiments of the present invention will be described with reference to the accompanying drawings. In the following description, the same reference numerals are used for the same blocks. In the case of the same reference numerals, their names and functions are also the same. Therefore, detailed description thereof will not be repeated.
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be described in further detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not to be construed as limiting the invention.
Fig. 1 shows a basic structure of an active vibration control method provided in accordance with an embodiment of the present invention.
As shown in fig. 1, a vibration control system according to an embodiment of the present invention includes: the vibration source, the adder, the first vibration controller, the differentiator, the second vibration controller and the oscilloscope.
The vibration source may generate an initial vibration signal comprising: random vibration signals, harmonic vibration signals, step vibration signals, and the like.
The initial vibration signal generated by the vibration source is added by an adder and then transmitted to the first vibration controller; for the purpose of vibration control, the desired value is set to zero at the adder, and when the desired value is zero, the vibration signal is also continuously approaching zero.
The first vibration controller is a vibration active controller based on an RLS (recursive least squares) algorithm, inputs an expected value, an initial vibration signal u (n) and a weight w (n) of the first vibration controller into the first vibration controller for first vibration suppression, calculates a residual error signal e (n), and outputs the residual error signal e (n) to the second vibration controller.
The second vibration controller is an active controller for automatically tuning PID parameters based on a fuzzy algorithm, and can be combined into a self-adaptive fuzzy P controller, a self-adaptive fuzzy PD controller and a self-adaptive fuzzy PI controller according to specific conditions. Inputting the residual error signal e (n) of the first vibration controller into a second vibration controller for secondary vibration suppression, setting the parameters of the second vibrator on line to achieve the optimal vibration active control effect, and calculating a residual vibration signal U (n), wherein the residual vibration signal U (n) is a signal after vibration suppression.
The vibration control method based on the RLS and the self-adaptive fuzzy PID hybrid algorithm has the advantages of high response speed, good robustness and excellent vibration reduction effect under the excitation of random vibration signals, harmonic vibration signals and step vibration signals.
Fig. 2 shows a flow of a vibration active control method provided according to an embodiment of the present invention.
As shown in fig. 2, the active vibration control method of the present invention includes the steps of:
and S1, generating an initial vibration signal through a vibration source.
The vibration source may generate an initial vibration signal comprising: random vibration signals, harmonic vibration signals, step vibration signals, and the like.
And S2, inputting the initial vibration signal and the expected value to the first vibration controller to perform first vibration control, and calculating a residual error signal.
The actual output value of the first vibration controller is:
y(n)＝w(n)Tu(n) (1.15)
wherein u (n) is the initial vibration signal, w (n) is the weight of the first vibration controller, and n is the time.
The difference between the expected output value d (n) and the actual output value y (n) of the first vibration controller is a residual error signal.
The residual error signal of the first vibration controller is:
e(n)＝d(n)-y(n) (1.16)
where d (n) is the desired output value of the first vibration controller.
The first vibration controller calculates an output value according to the weight; the weight is adaptively changed according to the input signal, so the output of the first vibration controller is also adaptively changed according to the input signal.
The updating calculation formula of the weight is as follows:
w (n) w (n-1) + k (n) e (n) (1.17) wherein the gain vector k (n) is calculated by:
Figure BDA0003392014190000051
wherein λ is a forgetting factor.
The covariance matrix p (n) is calculated as:
Figure BDA0003392014190000061
since the whole calculation process is a random process, the fluctuation condition of the vibration signal in the expected vicinity is examined through the covariance matrix of the input signal.
And S3, outputting the residual error signal to a second vibration controller to perform the second vibration control.
The residual vibration signal is calculated by the formula:
Figure BDA0003392014190000062
wherein, KP、KI、KDSetting proportion coefficient under fuzzy rule; n is the filter coefficient of the PID controller, TsFor discrete time, 1/S is the time constant after Laplace transform.
Proportionality coefficient K under fuzzy ruleP、KI、KDThe calculation formula of (2) is as follows:
Figure BDA0003392014190000063
KP0is said KPAn initial value of (1); Δ KPA parameter change value adjusted for the adaptive fuzzy controller;
KI0is said KIAn initial value of (1); Δ KIA parameter change value adjusted for the adaptive fuzzy controller;
KD0is said KDAn initial value of (1); Δ KDA parameter change value adjusted for the adaptive fuzzy controller.
Given the ambiguity domain of error versus error variation:
e,ec＝{-1000,-500,-100,0,100,500,1000}
the ambiguity field is the variation range of the PID error in manual PID tuning, namely the error acceptable by the system. The error change is the derivative of the error. The active controller based on the fuzzy algorithm self-tuning PID parameters calculates the change of three tuning proportion coefficients of the PID at the moment according to the error and the error change, thereby achieving the purpose of parameter tuning.
The fuzzy subset is:
Figure BDA0003392014190000064
wherein NB represents negative large; NM represents negative; NS represents minus or minus; ZO represents zero; PS means positive small; PM means median; PB indicates positive large.
The fuzzy subset is an adjusting rule, and the relationship between the fuzzy subset and the adjusting rule is that values at different moments are adjusted according to instructions of a controller.
Fig. 3 shows a Simulink model of the vibration active control method provided by the embodiment of the invention.
As shown in fig. 3, under a Simulink platform, a Simulink model of a vibration active control method based on an RLS-adaptive fuzzy PID hybrid algorithm is built, an RLS controller is compiled through a custom function based on the Simulink, and an adaptive fuzzy PID controller is compiled through a Simulink fuzzy control toolbox.
Fig. 4 shows the vibration control effect of the vibration active control method provided by the embodiment of the invention under the excitation of random signals.
Fig. 5 shows the vibration control effect of the vibration active control method provided by the embodiment of the invention under the excitation of harmonic signals.
Fig. 6 shows the vibration control effect of the vibration active control method provided by the embodiment of the invention under the excitation of the step signal.
As shown in fig. 4, 5 and 6, the vibration control method based on the RLS-adaptive fuzzy PID hybrid algorithm has a very obvious vibration suppression effect under excitation of random signals, harmonic signals and step signals.
Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention, and that variations, modifications, substitutions and alterations can be made to the above embodiments by those of ordinary skill in the art within the scope of the present invention.
The above embodiments of the present invention should not be construed as limiting the scope of the present invention. Any other corresponding changes and modifications made according to the technical idea of the present invention should be included in the protection scope of the claims of the present invention.

Claims (10)

1. A vibration control method, comprising the steps of:
s1, generating an initial vibration signal through a vibration source;
s2, inputting the initial vibration signal and the expected value to a first vibration controller to perform first vibration control, and calculating a residual error signal;
and S3, outputting the residual error signal to a second vibration controller to perform second vibration control.
2. The vibration control method according to claim 1, wherein the calculation formula of the actual output value y (n) of the first vibration controller is:
y(n)＝w(n)Tu(n) (1.1)
wherein u (n) is the initial vibration signal, w (n) is the weight of the first vibration controller, and n is time;
the residual error signal e (n) is calculated by the formula:
e(n)＝d(n)-y(n) (1.2)
wherein d (n) is a desired output value of the first vibration controller.
3. The vibration control method according to claim 2, wherein the update calculation formula of the weight is:
w(n)＝w(n-1)+k(n)e(n) (1.3)
wherein k (n) is a gain vector, and the calculation formula is:
Figure FDA0003392014180000011
where λ is the forgetting factor and p (n) is the covariance matrix.
4. The vibration control method according to claim 3, wherein the covariance matrix P (n) is calculated by:
Figure FDA0003392014180000012
5. the vibration control method according to claim 4, wherein the second vibration controller calculates a residual vibration signal from the residual error signal;
the residual vibration signal is calculated by the formula:
Figure FDA0003392014180000013
wherein, KP、KI、KDRespectively are the integral proportional coefficients under the fuzzy rule; n is the filter coefficient of the PID controller, TsFor discrete time, 1S is the time constant after laplace transform.
6. The vibration control method according to claim 5, wherein the calculation formula of the integral scaling factor is:
Figure FDA0003392014180000021
KP0is said KPAn initial value of (1); Δ KPA parameter change value adjusted for the adaptive fuzzy controller;
KI0is said KIAn initial value of (1); Δ KIA parameter change value adjusted for the adaptive fuzzy controller;
KD0is said KDAn initial value of (1); Δ KDA parameter change value adjusted for the adaptive fuzzy controller.
7. The vibration control method according to claim 6, wherein the first vibration controller is a vibration active controller based on an RLS algorithm.
8. The vibration control method according to claim 6, characterized in that the second vibration controller is an active controller that self-tunes PID parameters based on a fuzzy algorithm, and is combined as an adaptive fuzzy P, adaptive fuzzy PD or adaptive fuzzy PI controller.
9. The vibration control method according to claim 7 or 8, wherein the initial vibration signal is: a random vibration signal, a harmonic vibration signal, or a step vibration signal.
10. A vibration control system, comprising: the vibration source, the adder, the first vibration controller and the second vibration controller;
the vibration source is used for generating an initial vibration signal;
the adder is used for performing addition operation on the initial vibration signal and outputting the initial vibration signal to the first vibration controller;
the first vibration controller is used for carrying out first vibration control on the initial vibration signal, calculating a residual error signal and outputting the residual error signal to the second vibration controller;
and the second vibration controller is used for carrying out vibration control on the residual error signal for the second time.
CN202111470772.8A 2021-12-03 2021-12-03 Vibration control method Pending CN114185263A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202111470772.8A CN114185263A (en) 2021-12-03 2021-12-03 Vibration control method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202111470772.8A CN114185263A (en) 2021-12-03 2021-12-03 Vibration control method

Publications (1)

Publication Number Publication Date
CN114185263A true CN114185263A (en) 2022-03-15

Family

ID=80603377

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202111470772.8A Pending CN114185263A (en) 2021-12-03 2021-12-03 Vibration control method

Country Status (1)

Country Link
CN (1) CN114185263A (en)

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101950156A (en) * 2010-09-06 2011-01-19 重庆大学 Adaptive cascade PID control method
CN102705431A (en) * 2012-05-31 2012-10-03 中国科学院长春光学精密机械与物理研究所 Angular-displacement-free active and passive combined vibration reduction system and method
CN105022409A (en) * 2014-04-21 2015-11-04 中国科学院大连化学物理研究所 Rapid-auto-collimation reflector adaptive vibration suppressing tracking control method

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101950156A (en) * 2010-09-06 2011-01-19 重庆大学 Adaptive cascade PID control method
CN102705431A (en) * 2012-05-31 2012-10-03 中国科学院长春光学精密机械与物理研究所 Angular-displacement-free active and passive combined vibration reduction system and method
CN105022409A (en) * 2014-04-21 2015-11-04 中国科学院大连化学物理研究所 Rapid-auto-collimation reflector adaptive vibration suppressing tracking control method

Non-Patent Citations (6)

* Cited by examiner, † Cited by third party
Title
DAZHUANG WANG 等: "Nonlinear Predictive Sliding Mode Control for Active Suspension System", SHOCK AND VIBRATION *
N. M. R. SHAHARUDDIN 等: "Fuzzy iterative PID-type control of vortex induced vibration suppression", JOURNAL OF VIBROENGINEERING, vol. 19, no. 07, pages 5137 - 5148 *
NIK MOHD RIDZUAN SHAHARUDDIN 等: "Fuzzy-PID Control of Transverse Vibrating Pipe Due to Vortex Induced Vibration", 2013 UKSIM 15TH INTERNATIONAL CONFERENCE ON COMPUTER MODELLING AND SIMULATION *
杨越 等: "基于双驱动智能悬臂梁的自校正PID振动控制研究", 力学与实践 *
罗顺安;张锋;汪涵;: "FxRLS算法在齿轮箱振动主动控制中的应用", 噪声与振动控制, no. 04 *
赵丁选 等: "基于电液伺服控制的车辆主动悬架研究", 中国公路学报 *

Similar Documents

Publication Publication Date Title
Yu et al. Observer and command-filter-based adaptive fuzzy output feedback control of uncertain nonlinear systems
CN112233644A (en) A Filter-X Least Mean Square Active Noise Control Method Based on Quaternion Adaptive Filter
CN111413872A (en) Air cavity pressure rapid active disturbance rejection method based on extended state observer
CN105652662A (en) A Narrowband Adaptive Filtering Method for Active Vibration Control of Piezoelectric Structures
CN109067232B (en) Grid-connected inverter current control method based on recurrent neural network
CN109245167B (en) Control method for improving grid-connected current quality of LCL-type grid-connected inverter in weak grid
CN115437425A (en) Temperature control method, device, equipment and storage medium
Chang et al. Active noise cancellation with a fuzzy adaptive filtered-X algorithm
CN104238365A (en) Cantilever beam vibration control method on basis of self-adaption neural network control
Sun et al. Robust adaptive neural control of uncertain pure-feedback nonlinear systems
Dou et al. Practical adaptive finite-time stabilization for a class of second-order systems
CN105425586B (en) A kind of online active inhibition method of Milling Process vibration
CN116430724A (en) Self-adaptive control strategy for improving motion balance of robot
CN115826403A (en) A Design Method of Extended State Observer Based on Single Input Fuzzy System
CN114185263A (en) Vibration control method
CN110646518A (en) An output control method of an ultrasonic transducer and related equipment
Zahiripour A natural logarithm sliding mode controller for stochastic time-delay systems
CN109324503B (en) Multilayer neural network motor system control method based on robust integration
WO2023040025A1 (en) Feedback-type active noise control system and method based on secondary channel online identification
CN116859750A (en) Active disturbance rejection control method and system of cascade extended state observer
CN112114517A (en) 3D printing temperature control algorithm
CN110320804B (en) Control method of non-affine dynamic system
Min et al. Valve Positioner Opening Control Based on Variable Universe Fuzzy Logic ADRC
CN113867155B (en) Disturbance identification and self-adaptive compensation method suitable for photoelectric tracking system
CN117200621B (en) A parameter identification method for permanent magnet synchronous motor based on improved model reference adaptive system

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20220315