CN104298854A - Method and device for detecting complexity of signal - Google Patents

Method and device for detecting complexity of signal Download PDF

Info

Publication number
CN104298854A
CN104298854A CN201410448220.0A CN201410448220A CN104298854A CN 104298854 A CN104298854 A CN 104298854A CN 201410448220 A CN201410448220 A CN 201410448220A CN 104298854 A CN104298854 A CN 104298854A
Authority
CN
China
Prior art keywords
signal
complexity measure
performance
standard test
index
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.)
Granted
Application number
CN201410448220.0A
Other languages
Chinese (zh)
Other versions
CN104298854B (en
Inventor
孟庆伟
马文忠
张丽霞
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.)
China University of Petroleum East China
Original Assignee
China University of Petroleum East China
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 China University of Petroleum East China filed Critical China University of Petroleum East China
Priority to CN201410448220.0A priority Critical patent/CN104298854B/en
Publication of CN104298854A publication Critical patent/CN104298854A/en
Application granted granted Critical
Publication of CN104298854B publication Critical patent/CN104298854B/en
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Landscapes

  • Testing Electric Properties And Detecting Electric Faults (AREA)
  • Testing Of Devices, Machine Parts, Or Other Structures Thereof (AREA)

Abstract

The invention discloses a device and method for detecting the complexity of a signal. The device comprises a standard testing system, a performance estimator and a complexity calculator. The complexity detecting method is simple, and algorithm efficiency is high.

Description

A kind of method of signal complexity measure and device
Technical field
The invention belongs to the signal complexity measure technical field of control system, particularly relate to a kind of method and device of signal complexity measure.
Background technology
Signal is extensively present in the signal stream transmittance process of internal system, the measuring-signal etc. of the deviation signal of such as controller input end, the control signal of actuator input end, transmitter input.The complexity measure of signal plays an important role in the evaluation, fault diagnosis, medical treatment etc. of system performance.But most systems is nonlinear often in actual production process, make the whole signal stream in control system present nonlinear characteristic, the characteristic quantity being therefore difficult to extract effective signal from original signal carries out analysis of complexity to signal.Therefore signal complexity measure is the very important and work of necessity.
Summary of the invention
Technical scheme of the present invention is, a kind of method of signal complexity measure and pick-up unit, is characterized in that comprising standard test system, performance calculator, complicated dynamic behaviour device.
The connected mode that three parts are connected successively.Described standard test system is connected with performance calculator; Described performance calculator is connected with complicated dynamic behaviour device.
Measured signal obtains test by standard test system and exports, and test exports output performance counter calculation of performance indicators, and performance index enter the complicacy that complicated dynamic behaviour device calculates measured signal again.
A kind of signal complexity measure, is characterized in that the method comprises the following steps:
Step 1: using the setting value of signal r as described standard test macro, the closed-loop control through standard test system obtains its output y.
Step 2: described performance calculator exports y and signal r by described standard test macro and is poor tracking error e, is then calculated the performance index η of system under this signal r effect by tracking error e.
Step 3: described complicated dynamic behaviour device calculates the complexity C of signal r by performance index η.
Described modular system design is a closed-loop system comprising controller and controlled device.
Described performance calculator first error of calculation e is as follows:
e=r-y (1)
Wherein: r is measured signal;
Y is the output of measured signal by described standard test system.
Performance index η herein elects the integration IAEP of unit interval Error Absolute Value as, being calculated as follows of this index:
IAEP = ∫ 0 T | e | dt T - - - ( 2 )
T is the time span of measured signal.
Complexity C is calculated as follows:
C = IAEP T - - - ( 3 )
Complexity of the present invention be greater than 0 value, its value is larger, then it shows that the complicacy of signal is higher.This complexity is from the reality controlled, and the result obtained is independent of control, only relevant to signal itself.
Accompanying drawing explanation
Fig. 1 signal complexity measurement apparatus schematic diagram;
The structural drawing of Fig. 2 standard test fixture;
The exploded view of the signal that Fig. 3 is general;
Embodiment
Below in conjunction with accompanying drawing, preferred embodiment is elaborated.It is emphasized that following explanation is only exemplary, instead of in order to limit the scope of the invention and apply.
The invention provides a kind of succinct, effectively, need priori few, be easy to calculate, multiple-input, multiple-output control system method for testing performance without impact and device normally run on actual control system.
For the complexity of detection signal, the invention provides method for testing performance and the device of multiple-input, multiple-output control system.As shown in Figure 1, the present invention mainly contains three Part compositions: standard test system, performance calculator, complicated dynamic behaviour device.The method and device are implemented as follows:
1. standard test system
Described standard test system is single-input single-output closed feedback loop as shown in Figure 2, and controller C (s) represents, controlled device P (s) represents.The transfer function model of described standard test system P (s) is expressed as follows:
P ( s ) = K T 1 s + 1 e - θs - - - ( 4 )
Wherein: s is Laplace operator;
K is static gain;
T 1for inertia time constant;
θ is time delay.
Described standard test system controller C (s) is as follows:
C ( s ) = K p ( 1 + 1 T i s ) - - - ( 5 )
Wherein: k pfor controller scale-up factor;
T ifor the integration time constant of controller.
Internal mold tuning rule is adopted to adjust as follows to controller parameter:
K p = T 1 K ( λ + θ ) , T i = T 1 - - - ( 6 )
λ represents the closed-loop time constant in internal model control, usually meets λ > θ.
2. performance calculator
The major function that performance calculates calculates the performance of system by formula (2).
3. complicated dynamic behaviour device
In working control process, a common signal as shown in Figure 3.Decomposition principle, a general command signal can be approximately decomposed into the array configuration of a series of ramp signal, and time interval t 2-t 1, t 3-t 2..., t n-t n-1less, degree of approximation is higher.That is:
r=r 1(t)+r 2(t)+...+r n(t) (7)
Wherein r it i-th ramp signal that () decomposites for signal r;
According to the definition in this patent, the complexity of general signal is:
C r ( t ) = IAE ( r ( t ) ) T = Σ i = 1 n IAE ( r i ( t ) ) T = ( λ + θ ) Σ i = 1 n | k i | ( t i - t i - 1 ) Σ i = 1 n ( t i - t i - 1 ) - - - ( 8 )
θ is the delay of plant model, only relevant with the object of signal function, and has nothing to do with signal itself; λ is the closed-loop time constant in internal model control, and because standard test system controller parameter is determined according to its plant model parameter, utilize internal mold tuning rule to adjust to obtain, also the object of an and instruction signal function is relevant.Therefore, when analyzing the complexity of different instruction signal, if it acts in same controlled device, then the complexity of these instructions can be rewritten as:
C = Σ i = 1 n | k i | ( t i - t i - 1 ) Σ i = 1 n ( t i - t i - 1 ) = Σ i = 1 n | r ( t i ) - r ( t i - 1 ) | Σ i = 1 n ( t i - t i - 1 ) - - - ( 9 )
Above formula is the complicated dynamic behaviour formula of discrete type signal.If the time interval is enough little, namely time, the computing formula of the complexity measure index of continuous type signal can be obtained:
C = ∫ 0 T ds T = L ( r ( t ) ) T - - - ( 10 )
The length that L (r (t)) is continuous type signal.
The above; be only the present invention's preferably embodiment, but protection scope of the present invention is not limited thereto, is anyly familiar with those skilled in the art in the technical scope that the present invention discloses; the change that can expect easily or replacement, all should be encompassed within protection scope of the present invention.Therefore, protection scope of the present invention should be as the criterion with the protection domain of claim.

Claims (5)

1. a signal complexity measure device, is characterized in that this device comprises standard test system, performance calculator, complicated dynamic behaviour device;
Three parts of described device adopt the connected mode of connecting successively.Described standard test system is connected with performance calculator; Described performance calculator is connected with complicated dynamic behaviour device.
2. utilize a signal complexity measure for device described in claim 1, it is characterized in that the method comprises the following steps:
Step 1: using the setting value of signal r as described standard test macro, the closed-loop control through standard test system obtains its output y.
Step 2: described performance calculator exports y and signal r by described standard test macro and is poor tracking error e, is then calculated the performance index η of system under this signal r effect by tracking error e.
Step 3: described complicated dynamic behaviour device calculates the complexity C of signal r by performance index η.
3. signal complexity measure method according to claim 2, is characterized in that general complexity measure index is:
Wherein: IAEP is the integration of unit time error absolute value
T is the time span of measured signal.
4. a kind of control performance detection method according to claim 2 and the general complexity measure index described in claim 3, is characterized in that the computing formula of discrete type signal complexity measure index is:
Wherein: n is the number of discrete signal discrete point;
T ifor the moment of signal i-th discrete point;
R (t i) be the value of discrete signal i-th discrete point.
5. a kind of control performance detection method according to claim 2 and the general complexity measure index described in claim 3, is characterized in that the computing formula of continuous type signal complexity measure index is:
Wherein: the length that L (r (t)) is continuous type signal.
CN201410448220.0A 2014-09-04 2014-09-04 A kind of method of signal complexity measure Expired - Fee Related CN104298854B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201410448220.0A CN104298854B (en) 2014-09-04 2014-09-04 A kind of method of signal complexity measure

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201410448220.0A CN104298854B (en) 2014-09-04 2014-09-04 A kind of method of signal complexity measure

Publications (2)

Publication Number Publication Date
CN104298854A true CN104298854A (en) 2015-01-21
CN104298854B CN104298854B (en) 2016-05-18

Family

ID=52318577

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201410448220.0A Expired - Fee Related CN104298854B (en) 2014-09-04 2014-09-04 A kind of method of signal complexity measure

Country Status (1)

Country Link
CN (1) CN104298854B (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106503660A (en) * 2016-10-31 2017-03-15 天津大学 Time series complexity measuring method based on image microstructure Frequence Analysis

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20050021213A1 (en) * 2003-05-05 2005-01-27 Miller Nathan Todd Valve flow control system and method
CN101582748A (en) * 2008-05-16 2009-11-18 富士通株式会社 Method and device for detecting low-complexity signal of MIMO system
CN103746728A (en) * 2013-10-08 2014-04-23 北京科技大学 Mixed adaptive MIMO receiving and detecting method

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20050021213A1 (en) * 2003-05-05 2005-01-27 Miller Nathan Todd Valve flow control system and method
CN101582748A (en) * 2008-05-16 2009-11-18 富士通株式会社 Method and device for detecting low-complexity signal of MIMO system
CN103746728A (en) * 2013-10-08 2014-04-23 北京科技大学 Mixed adaptive MIMO receiving and detecting method

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106503660A (en) * 2016-10-31 2017-03-15 天津大学 Time series complexity measuring method based on image microstructure Frequence Analysis
CN106503660B (en) * 2016-10-31 2019-11-22 天津大学 Time series complexity measuring method based on image microstructure Frequence Analysis

Also Published As

Publication number Publication date
CN104298854B (en) 2016-05-18

Similar Documents

Publication Publication Date Title
CN103207568B (en) Steering engine saturation resistant self-adaptive control method for ship courses
CN102998973B (en) The multi-model Adaptive Control device of a kind of nonlinear system and control method
CN101968628A (en) Saturated self-adjusting controller for time-varying delay uncertain system
CN104951900B (en) A kind of capability evaluating device of power system stabilizer, PSS
CN104898550A (en) Dynamic servo system composite control method based on sliding mode extended state observer (SMESO)
CN103439880A (en) PID parameter setting method based on MCP standard transfer function
Li et al. Global stabilization via time-varying output-feedback for stochastic nonlinear systems with unknown growth rate
Mirhosseini-Alizamini et al. An iterative method for suboptimal control of linear time-delayed systems
CN106054670B (en) A kind of super mangneto driver hysteresis modeling method based on time lag
Gao et al. Design of PID controller for greenhouse temperature based on Kalman
Gurban et al. Comparison of modified Smith predictor and PID controller tuned by genetic algorithms for greenhouse climate control
CN104712378A (en) Main steam pressure closed loop energy-saving control method and system for thermal power generating unit
CN104199307A (en) Hardware-in-loop simulation method and system
Zhao et al. Nonlinear state estimation for fermentation process using cubature Kalman filter to incorporate delayed measurements
CN104298854A (en) Method and device for detecting complexity of signal
CN102081355B (en) Flight test robust determination method for equivalent stability margin of statically unstable aircraft
CN109828622B (en) Diffusion furnace temperature control method and control system based on wiener model control algorithm
Sun et al. System identification for nonlinear FOPDT model with input-dependent dead-time
CN104571086A (en) Temperature controller simulation testing method based on transfer function
US9851698B2 (en) Process variable transmitter
KR101762357B1 (en) Control device and method for voltage source inverter
Qing-wei et al. A practical approach of online control performance monitoring
Ren et al. A new Smith predictor for control of process with long time delays
CN204270138U (en) Steam turbine governing system servo card controling parameters test macro
CN110879532B (en) Control system and design method

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C14 Grant of patent or utility model
GR01 Patent grant
CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20160518

Termination date: 20180904

CF01 Termination of patent right due to non-payment of annual fee