CN106990715A - A kind of SPC and IMC methods of TITO NDCS random delay - Google Patents
A kind of SPC and IMC methods of TITO NDCS random delay Download PDFInfo
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Abstract
SPC the and IMC methods of TITO NDCS random delay, belong to the MIMO NDCS technical fields of limited bandwidth resources.Inputted for one kind two between two output signals and affect one another and couple, need the TITO NDCS by decoupling processing, due to network delay produced in network data among the nodes transmitting procedure, not only influence respective close loop control circuit stability, but also whole system stability will be influenceed, even result in the problem of TITO NDCS lose stable, propose with the live network data transmission procedure between all nodes in TITO NDCS, instead of the method for network delay compensation model therebetween, and SPC and IMC are implemented respectively to its loop, the measurement to network delay between node can be exempted, estimation is recognized, reduce the requirement of clock signal synchronization, reduce influence of the network random delay to TITO NDCS stability, the control performance quality of improvement system.
Description
Technical field
A kind of TITO (Two-input and two-output, TITO)-NDCS (Networked decoupling
Control systems, NDCS) random delay SPC (Smith Predictor Control, SPC) and IMC (Internal
Model Control, IMC) method, it is related to and automatically controls, network service and computer technology crossing domain, more particularly to bandwidth
The multiple-input and multiple-output network decoupling and controlling system technical field of resource-constrained.
Background technology
With the development of network service, computer and control technology, and production process control increasingly maximization, wide area
The development of change, complication and networking, increasing application of net is in control system.Network control system
(Networked control systems, NCS) refers to network real-time closed-loop feedback control system, NCS typical case's knot
Structure is as shown in Figure 1.
NCS can realize complex large system and remote control, and node resource is shared, and increases the flexibility and reliability of system, closely
Nian Laiyi is widely used in complex industrial process control, power system, petrochemical industry, track traffic, Aero-Space, environment prison
The multiple fields such as survey.
Network is integrated into the point-to-point connection replaced in control system in traditional computer control system, with a lot
Advantage, for example：Wiring cost is reduced, and cable weight is reduced, and installation process simplifies and reliability is improved etc..But, in feedback
While adding communication network in control loop, the complexity of control system analysis and design is also increased.Due to network delay,
The presence of the phenomenon such as data packetloss and network congestion so that NCS faces many new challenges.Especially random network time delay
In the presence of, it is possible to decrease NCS control quality, or even make system loss of stability, system may be caused to break down when serious.
At present, research both at home and abroad for NCS, primarily directed to single-input single-output (Single-input and
Single-output, SISO) network control system, constant, unknown or random in network delay respectively, network delay is less than one
Individual sampling period or more than one sampling period, single bag transmission or many bag transmission, whether there is when data-bag lost, it are entered
Row mathematical modeling or stability analysis and controlling.But, in actual industrial process, generally existing comprise at least two it is defeated
Enter the multiple-input and multiple-output (Multiple- constituted with two outputs (Two-input and two-output, TITO)
Input and multiple-output, MIMO) network control system research it is then relatively fewer, in particular for input with
Between output signal, there is coupling needs the multiple-input and multiple-output network decoupling and controlling system by decoupling processing
The achievement in research of (Networked decoupling control systems, NDCS) delay compensation is then relatively less.
MIMO-NDCS typical structure is as shown in Figure 2.
Compared with SISO-NCS, MIMO-NDCS has the characteristics that：
(1) affected one another between input signal and output signal and there is coupling
In it there is the MIMO-NCS of coupling, the change of an input signal will become multiple output signals
Change, and each output signal is also not only influenceed by an input signal.Even if by meticulous between input and output signal
Also exist and influence each other unavoidably between selection pairing, each control loop, thus to make output signal independently tracked respective defeated
Enter signal to have any problem.Decoupler in MIMO-NDCS, for releasing or reducing the coupling between MIMO signal
Effect.
(2) internal structure is more more complex than SISO-NCS
(3) controlled device there may be uncertain factor
In MIMO-NDCS, the parameter being related to is more, and the contact between each control loop is more, and parameter variations are to overall control
The influence of effect processed can become very complicated.
(4) control unit fails
In MIMO-NDCS, including at least there is two or more close loop control circuits, including at least have two or
More than two sensors and actuator.The failure of each element may influence the performance of whole control system, when serious
Control system can be made unstable, or even caused a serious accident.
Due to MIMO-NDCS above-mentioned particularity so that be mostly based on the method that SISO-NCS is designed and controlled,
MIMO-NDCS control performance and the requirement of control quality can not have been met, prevent its from or be not directly applicable MIMO-
In NDCS design and analysis, control and design to MIMO-NDCS bring certain difficulty.
For MIMO-NDCS, network delay compensation is essentially consisted in the difficult point controlled：
(1) due to network delay and network topology structure, communication protocol, network load, the network bandwidth and data package size
It is relevant etc. factor, controlled to more than several or even the dozens of sampling period random network time delay, to set up each in MIMO-NDCS
The mathematical modeling that the network delay in loop processed is accurately predicted, estimates or recognized, is nearly impossible at present.
(2) occur in MIMO-NDCS, when previous node is to network during latter node-node transmission network data
Prolong, no matter using which kind of prediction or method of estimation in previous node, be impossible to know the net produced thereafter in advance in advance
Network time delay exact value.Time delay cause systematic function decline in addition cause system unstable, while also to control system analysis with
Design brings difficulty.
(3) to meet in MIMO-NDCS, all node clock signal Complete Synchronizations in different distributions place are unrealistic
's.
(4) due in MIMO-NCS, being affected one another between input and output, and there is coupling, its MIMO-NDCS's
Internal structure is more complicated than MIMO-NCS and SISO-NCS, it is understood that there may be uncertain factor it is more, implement time delay benefit to it
Repay more much more difficult than MIMO-NCS and SISO-NCS with control.
The content of the invention
The present invention relates in MIMO-NCS one kind two input two export NDCS (TITO-NDCS) random delay compensation with
Control, its TITO-NDCS typical structure is as shown in Figure 3.
For the close loop control circuit 1 in Fig. 3：
1) from input signal x1(s) output signal y is arrived1(s) closed loop transfer function, between is：
In formula：C1(s) it is controller, G11(s) it is controlled device；τ1Represent control signal u1(s) from C1(s) controller
The C1 nodes at place, the network delay that actuator DA1 nodes are undergone is decoupled through preceding be transferred to network path；τ2Expression will be defeated
Go out signal y1(s) from sensor S1 nodes, through feedback network tunnel to C1(s) the C1 nodes where controller are undergone
Network delay.
2) the control signal u in the decoupling actuator DA2 nodes from close loop control circuit 22(s) intersection solution, is acted on
Coupling passage P12(s) unit and cross decoupling network transmission channelsUnit, its output signal yp12(s) remake for closed loop control
Loop 1 processed, from input signal u2(s) output signal y is arrived1(s) closed loop transfer function, is between：
3) the drive signal u of actuator DA2 nodes output is decoupled from close loop control circuit 22p(s) controlled device, is passed through
Cross aisle transmission function G12(s) the output signal y of close loop control circuit 1 is acted on1(s), from input signal u2p(s) to output
Signal y1(s) closed loop transfer function, is between：
Above-mentioned closed loop transfer function, equation (1) and the denominator of (3)In, contain network it is random when
Prolong τ1And τ2Exponential termWithThe presence of time delay will deteriorate the performance quality of control system, and the system of even resulting in loses surely
It is qualitative.
For the close loop control circuit 2 in Fig. 3：
1) from input signal x2(s) output signal y is arrived2(s) closed loop transfer function, between is：
In formula：C2(s) it is controller, G22(s) it is controlled device；τ3Represent control signal u2(s) from C2(s) controller
The C2 nodes at place, the network delay that actuator DA2 nodes are undergone is decoupled through preceding be transferred to network path；τ4Expression will be defeated
Go out signal y2(s) from sensor S2 nodes, through feedback network tunnel to C2(s) the C2 nodes where controller are undergone
Network delay.
2) the control signal u in the decoupling actuator DA1 nodes from close loop control circuit 11(s) intersection solution, is acted on
Coupling passage P21(s) unit and cross decoupling network transmission channelsUnit, its output signal yp21(s) remake for closed loop control
Loop 2 processed, from input signal u1(s) output signal y is arrived2(s) closed loop transfer function, is between：
3) the drive signal u of actuator DA1 nodes output is decoupled from close loop control circuit 11p(s) controlled device, is passed through
Cross aisle transmission function G21(s) the output signal y of close loop control circuit 2 is acted on2(s), from input signal u1p(s) to output
Signal y2(s) closed loop transfer function, is between：
Above-mentioned closed loop transfer function, equation (4) and the denominator of (6)In, contain network it is random when
Prolong τ3And τ4Exponential termWithThe presence of time delay will deteriorate the performance quality of control system, and the system of even resulting in loses surely
It is qualitative.
Goal of the invention：
For Fig. 3 TITO-NDCS, in the transmission function equation (1) of its close loop control circuit 1 and the denominator of (3), wrap
Network random delay τ is contained1And τ2Exponential termWithAnd the transmission function equation (4) of close loop control circuit 2 and (6)
Denominator in, contain network random delay τ3And τ4Exponential termWith
Due to the output signal y of close loop control circuit 11(s) not only by its input signal x1(s) influence, at the same also by
To the input signal x of close loop control circuit 22(s) influence；At the same time, the output signal y of close loop control circuit 22(s) not only
By its input signal x2(s) influence, while also by the input signal x of close loop control circuit 11(s) influence；During network
The presence prolonged can reduce the control performance quality of respective close loop control circuit and influence the stability of respective close loop control circuit, together
When will also decrease the control performance quality of whole system and influence the stability of whole system, whole system will be caused to lose when serious
Go stability.
Therefore, for the close loop control circuit 1 in Fig. 3：The present invention proposes a kind of delay compensation and controlling party based on SPC
Method；For close loop control circuit 2：The present invention proposes a kind of delay compensation and control method based on IMC；Constitute two closed-loop controls
The compensation of loop network time delay and mix control, for exempting in each close loop control circuit, random network time delay between node
Measurement, estimation or recognize, and then reduce network delay τ1And τ2, and τ3And τ4To respective close loop control circuit and to whole
The influence of individual control system control performance quality and the stability of a system, improves the dynamic property quality of system, realizes to TITO-
Being segmented of NDCS random network time delays, in real time, online and dynamic compensation and SPC and IMC.
Using method：
For the close loop control circuit 1 in Fig. 3：
The first step：When meeting predictive compensation condition to realize, the closed loop transform function of close loop control circuit 1 is no longer included
Network delay exponential term, to realize to network random delay τ1And τ2Compensation and control, around controlled device G11(s), to close
Ring control loop 1 exports y1(s) as input signal, by y1(s) network transfer delay prediction model is passed throughAnd Prediction Control
Device C1mAnd network transfer delay prediction model (s)Construct a positive feedback Prediction Control loop；By y1(s) by estimating
Controller C1m(s) a negative-feedback Prediction Control loop is constructed；The structure for implementing this step is as shown in Figure 4；
Second step：For in actual TITO-NDCS, it is difficult to the problem of obtaining network delay exact value, to realize in Fig. 4
Compensation and control to network delay, it is necessary to meet network delay prediction modelWithTo be equal to its true modelWithCondition, and meet predictor controller C1m(s) it is equal to its controller C1(s) condition is (due to controller C1(s) it is people
To design and selecting, C is met naturally1m(s)=C1(s)).Therefore, from sensor S1 nodes to controller C1 nodes, and
From controller C1 nodes to decoupling actuator DA1 nodes, using real network data transmission processWithInstead of
The predict-compensate model of network delay therebetweenWithObtain network delay compensation and the control structure shown in Fig. 5；
3rd step：By controller C in Fig. 51(s), by the further abbreviation of transmission function equivalence transformation rule, obtain implementing this
The network random delay compensation of inventive method is as shown in Figure 6 with SPC structures.
For the close loop control circuit 2 in Fig. 3：
The first step：In controller C2 nodes, an internal mode controller C is built2IMC(s) substitution controller C2(s)；In order to
When realization meets predictive compensation condition, the closed loop transform function of close loop control circuit 2 no longer includes network delay exponential term, with reality
Now to network random delay τ3And τ4Compensation and control, around controlled device G22(s) y, is exported with close loop control circuit 22(s)
As input signal, by y2(s) network transfer delay prediction model is passed throughWith estimate internal mode controller C2mIMCAnd net (s)
Network propagation delay time prediction modelConstruct a positive feedback Prediction Control loop；The structure for implementing this step is as shown in Figure 4；
Second step：For in actual TITO-NDCS, it is difficult to the problem of obtaining network delay exact value, to realize in Fig. 4
Compensation and control to network delay, it is necessary to meet network delay prediction modelWithTo be equal to its true modelWithCondition, and meet estimate internal mode controller C2mIMC(s) it is equal to its internal mode controller C2IMC(s) condition is (due to internal model
Controller C2IMC(s) it is artificial design and selection, C is met naturally2mIMC(s)=C2IMC(s)).Therefore, from sensor S2 nodes to
Between controller C2 nodes, and from controller C2 nodes to decoupling actuator DA2 nodes, using real network data
Transmitting procedureWithInstead of the predict-compensate model of network delay therebetweenWithObtain the random network shown in Fig. 5
Delay compensation and control structure；
3rd step：By internal mode controller C in Fig. 52IMC(s), by the further abbreviation of transmission function equivalence transformation rule, obtain
The network delay compensation and IMC structures of implementation the inventive method shown in Fig. 6.
At this it should be strongly noted that in Fig. 6 controller C1 and C2 node, close loop control circuit is occurred in that respectively
The 1 and Setting signal x in loop 21And x (s)2(s), respectively with its feedback signal y1And y (s)2(s) implement first " subtracting " afterwards " plus ", or
First " plus " operation rule that " subtracts " afterwards, i.e. y1And y (s)2(s) signal is connected to control by positive feedback and negative-feedback simultaneously respectively
In device C1 and C2 node：
(1) this is due to by the controller C in Fig. 51(s) with internal mode controller C2IMC(s), respectively according to transmission function etc.
The further abbreviation of valency transformation rule obtains the result shown in Fig. 6, and non-artificial setting；
(2) because NCS node is nearly all intelligent node, not only with communication and calculation function, but also with depositing
Storage with control etc. function, in node to same signal carry out first " subtracting " afterwards " plus ", or first " plus " " subtract " afterwards, this is in operation method
What does not have on then and is not inconsistent normally part；
(3) same signal is carried out in node " plus " with " subtracting " computing its end value it is " zero ", this " zero " value, and
The signal y in the node is not indicated that1Or y (s)2(s) just it is not present, or does not obtain y1Or y (s)2(s) signal, or signal
It is not stored for；Or be not present because " cancelling out each other " causes " zero " signal value to reform into, or it is nonsensical；
(4) triggering of controller C1 or C2 nodes, is just respectively from signal y1Or y (s)2(s) driving, if
Controller C1 or C2 node is not received by the signal y come from feedback network tunnel1Or y (s)2(s), then locate
It will not be triggered in controller C1 or the C2 node of event-driven working method.
For the close loop control circuit 1 in Fig. 6：
1) from input signal x1(s) output signal y is arrived1(s) closed loop transfer function, between is：
In formula：C1(s) it is controller.
2) the control signal u in the decoupling actuator DA2 nodes from close loop control circuit 22(s) intersection solution, is acted on
Coupling passage P12(s) unit and cross decoupling network transmission channelsUnit, its output signal yp12(s) remake for closed loop control
Loop 1 processed, from input signal u2(s) output signal y is arrived1(s) closed loop transfer function, is between：
3) the drive signal u of actuator DA2 nodes output is decoupled from close loop control circuit 22p(s) controlled device, is passed through
Cross aisle transmission function G12(s) the output signal y of close loop control circuit 1 is acted on1(s), from input signal u2p(s) to output
Signal y1(s) closed loop transfer function, is between：
Using the inventive method, the closed loop transform function of close loop control circuit 1 is 1+C1(s)G11(s)=0, its closed loop is special
Levy the network random delay τ that the influence stability of a system is no longer included in equation1And τ2Exponential termWithSo as to reduce
Influence of the network delay to the stability of a system, improves system dynamic control performance quality, realizes the dynamic to random network time delay
Compensation and SPC.
For the close loop control circuit 2 in Fig. 6：
1) from input signal x2(s) output signal y is arrived2(s) closed loop transfer function, between is：
In formula：C2IMC(s) it is internal mode controller.
2) the control signal u in the decoupling actuator DA1 nodes from close loop control circuit 11(s) intersection solution, is acted on
Coupling passage P21(s) unit and cross decoupling network transmission channelsUnit, its output signal yp21(s) remake for closed loop control
Loop 2 processed, from input signal u1(s) output signal y is arrived2(s) closed loop transfer function, is between：
3) the drive signal u of actuator DA1 nodes output is decoupled from close loop control circuit 11p(s) controlled device, is passed through
Cross aisle transmission function G21(s) the output signal y of close loop control circuit 2 is acted on2(s), from input signal u1p(s) to output
Signal y2(s) closed loop transfer function, is between：
Using the inventive method, the denominator of close loop control circuit 2 is no longer to include influence system in 1, closed loop transform function
The random network delay, τ of stability3And τ4Exponential termWithSo as to reduce shadow of the network delay to the stability of a system
Ring, improve system dynamic control performance quality, realize the dynamic compensation to random network time delay and IMC.
In close loop control circuit 1, controller C1(s) selection：
Controller C1(s) can be according to controlled device G11(s) mathematical modeling, and model parameter change, both may be selected
Conventional control strategy, also may be selected intelligent control or complex control strategy；Close loop control circuit 1 uses SPC methods, from TITO-
Realized and specific controller C in NDCS structures1(s) selection of control strategy is unrelated.
In close loop control circuit 2, internal mode controller C2IMC(s) design and selection：
Design internal mode controller and typically use pole-zero cancellation method, i.e. two step design methods：The first step is that design one takes it
Feedforward controller C is used as the inversion model of plant model22(s)；Second step is that certain order is added in feedforward controller
Feedforward filter f2(s) a complete internal mode controller C, is constituted2IMC(s)。
(1) feedforward controller C22(s)
Error, the interference of system when first ignoring controlled device and plant model Incomplete matching and it is other it is various about
The factors such as beam condition, in selection close loop control circuit 2, controlled device prediction model is equal to its true model, i.e.,：G22m(s)=G22
(s)。
Now, controlled device prediction model can be divided into according to the poles and zeros assignment situation of controlled device：G22m(s)=
G22m+(s)G22m- (s), wherein：G22m+(s) it is controlled device prediction model G22m(s) pure lag system and s RHPs are included in
The irreversible part of zero pole point；G22m- (s) is the reversible part of minimum phase in controlled device prediction model.
Under normal circumstances, the feedforward controller C of close loop control circuit 222(s) it can be chosen for：
(2) feedforward filter f2(s)
The thing of feedforward controller can be influenceed due to the pure lag system in controlled device and positioned at the zero pole point of s RHPs
Reason is realisation, thus has only taken in the design process of feedforward controller the reversible part G of controlled device minimum phase22m- (s),
It has ignored G22m+(s)；There is error due to possible Incomplete matching between controlled device and controlled device prediction model, system
In there is likely to be interference signal, these factors are likely to make system to lose stabilization.Therefore, adding one in feedforward controller
Determine the feedforward filter of order, for reducing influence of the factors above to the stability of a system, improve the robustness of system.
Generally the feedforward filter f of close loop control circuit 22(s) fairly simple n2 rank wave filters, are chosen forWherein：λ2For feedforward filter time constant；n2For the order of feedforward filter, and n2=n2a-n2b；n2a
For controlled device G22(s) order of denominator；n2bFor controlled device G22(s) order of molecule, usual n2＞ 0.
(3) internal mode controller C2IMC(s)
The internal mode controller C of close loop control circuit 22IMC(s) it can be chosen for:
It can be seen that from equation (13)：The internal mode controller C of one degree of freedom2IMC(s) in, the adjustable ginseng of only one of which
Number λ2；Due to λ2The change of parameter and the tracking performance of system and antijamming capability suffer from direct relation, therefore are adjusting filter
The customized parameter λ of ripple device2When, the tracing property generally required in system is traded off between the two with antijamming capability.
The scope of application of the present invention：
Suitable for known to controlled device mathematical modeling or be uncertain of one kind two input two export network decoupling and controlling systems
(TITO-NDCS) SPC and IMC of random network time delay；Its Research Thinking and method, can equally be well applied to controlled device mathematical modulo
Type is known or the SPC of multiple-input and multiple-output network decoupling and controlling system (MIMO-NDCS) random network time delay that is uncertain of and
IMC。
It is a feature of the present invention that this method comprises the following steps：
For close loop control circuit 1：
(1) is h when the sensor S1 nodes cycle1Sampled signal triggering when, employing mode A is operated；
(2) is when controller C1 nodes are by feedback signal y1(s) when triggering, employing mode B is operated；
(3) is when decoupling actuator DA1 nodes are by signal e1(s) or by from cross decoupling network transmission channelsIt is single
The output signal y of memberp12(s) when triggering, employing mode C is operated；
For close loop control circuit 2：
(4) is h when the sensor S2 nodes cycle2Sampled signal triggering when, employing mode D is operated；
(5) is when controller C2 nodes are by feedback signal y2(s) when triggering, employing mode E is operated；
(6) is when decoupling actuator DA2 nodes are by IMC signals u2(s) or by from cross decoupling network transmission channelsThe output signal y of unitp21(s) when triggering, employing mode F is operated；
The step of mode A, includes：
A1：Sensor S1 nodes work in time type of drive, and its trigger signal is cycle h1Sampled signal；
A2：After sensor S1 nodes are triggered, to controlled device G11(s) output signal y11(s) intersect with controlled device
Channel transfer function G12(s) output signal y12(s) sampled, and calculate the system output signal of close loop control circuit 1
y1, and y (s)1(s)=y11(s)+y12(s)；
A3：By feedback signal y1(s), by the feedback network path of close loop control circuit 1 to controller C1 node-node transmissions,
Feedback signal y1(s) will experience network transfer delay τ2Afterwards, controller C1 nodes are got to；
The step of mode B, includes：
B1：Controller C1 nodes work in event driven manner, by feedback signal y1(s) triggered；
B2：In controller C1 nodes, by the system Setting signal x of close loop control circuit 11(s), with feedback signal y1(s)
After phase adduction subtracts each other, signal e is obtained1(s), i.e. e1(s)=x1(s)+y1(s)-y1(s)=x1(s)；
B3：By signal e1(s) the feedforward network path of close loop control circuit 1 is passed throughUnit is saved to decoupling actuator DA1
Point transmission, signal e1(s) will experience network transfer delay τ1Afterwards, get to decouple actuator DA1 nodes；
The step of mode C, includes：
C1：Decoupling actuator DA1 nodes work in event driven manner, by signal e1(s) or by from cross decoupling
Network transmission channelsThe output signal y of unitp12(s) triggered；
C2：By signal e1(s) with feedback signal y1(s) subtract each other and obtain signal e3(s), i.e. e3(s)=e1(s)-y1(s)；It is right
e3(s) control algolithm C is implemented1(s) control signal u, is obtained1(s)；
C3：By signal u1(s) cross decoupling passage P is acted on21(s) unit obtains its output signal yp21(s)；
C4：By signal yp21(s) cross decoupling network transmission channels are passed throughUnit, to the decoupling of close loop control circuit 2
Actuator DA2 node-node transmissions；Signal yp21(s) will experience network transfer delay τ21Afterwards, get to decouple actuator DA2 nodes；
C5：By signal u1(s) the IMC signals u of actuator DA2 nodes is decoupled with coming from close loop control circuit 22(s) pass through
Cross decoupling passage P12(s) unit and cross decoupling network transmission channelsThe output signal y of unitp12(s) subtract each other and obtain letter
Number u1p(s), i.e. u1p(s)=u1(s)-yp12(s)；
C6：By signal u1p(s) controlled device G is acted on11(s) its output valve y is obtained11(s)；By signal u1p(s) act on
Controlled device cross aisle transmission function G21(s) its output valve y is obtained21(s)；So as to realize to controlled device G11And G (s)21
(s) decoupling and control, while realizing to network random delay τ1And τ2Compensation and SPC；
The step of mode D, includes：
D1：Sensor S2 nodes work in time type of drive, and its trigger signal is cycle h2Sampled signal；
D2：After sensor S2 nodes are triggered, to controlled device G22(s) output signal y22(s) intersect with controlled device
Channel transfer function G21(s) output signal y21(s) sampled, and calculate the system output signal of close loop control circuit 2
y2, and y (s)2(s)=y22(s)+y21(s)；
D3：By feedback signal y2(s), by the feedback network path of close loop control circuit 2 to controller C2 node-node transmissions,
Feedback signal y2(s) will experience network transfer delay τ4Afterwards, controller C2 nodes are got to；
The step of mode E, includes：
E1：Controller C2 nodes work in event driven manner, by feedback signal y2(s) triggered；
E2：In controller C2 nodes, by the system Setting signal x of close loop control circuit 22(s), with feedback signal y2(s)
After phase adduction subtracts each other, signal e is obtained2(s), i.e. e2(s)=x2(s)+y2(s)-y2(s)=x2(s)；
E3：To e2(s) Internal Model Control Algorithm C is implemented2IMC(s) IMC signals u, is obtained2(s)；
E4：By IMC signals u2(s) the feedforward network path of close loop control circuit 2 is passed throughUnit to decoupling actuator DA2
Node-node transmission, IMC signals u2(s) will experience network transfer delay τ3Afterwards, get to decouple actuator DA2 nodes；
The step of mode F, includes：
F1：Decoupling actuator DA2 nodes work in event driven manner, by IMC signals u2(s) or Self-crossover solution is carried out
Coupling network transmission channelsThe output signal y of unitp21(s) triggered；
F2：By IMC signals u2(s) cross decoupling passage P is acted on12(s) unit obtains its output signal yp12(s)；
F3：By signal yp12(s) cross decoupling network transmission channels are passed throughUnit, to the decoupling of close loop control circuit 1
Actuator DA1 node-node transmissions；Signal yp12(s) will experience network transfer delay τ12Afterwards, get to decouple actuator DA1 nodes；
F4：By IMC signals u2(s) the signal u of actuator DA1 nodes is decoupled with coming from close loop control circuit 11(s) pass through
Cross decoupling passage P21(s) unit and cross decoupling network transmission channelsThe output signal y of unitp21(s) subtract each other and obtain letter
Number u2p(s), i.e. u2p(s)=u2(s)-yp21(s)；
F5：By signal u2p(s) controlled device G is acted on22(s) its output valve y is obtained22(s)；By signal u2p(s) act on
Controlled device cross aisle transmission function G12(s) its output valve y is obtained12(s)；So as to realize to controlled device G22And G (s)12
(s) decoupling and control, while realizing to network random delay τ3And τ4Compensation and IMC.
The present invention has following features：
1st, due to from exempting in structure in TITO-NDCS, the measurement of network random delay, observation, estimation or recognize, together
When can also exempt the synchronous requirement of node clock signal, time delay can be avoided to estimate the inaccurate evaluated error caused of model, it is to avoid
To expending the waste of node storage resources needed for time-delay identification, while can also avoid due to " sky sampling " or " many that time delay is caused
The compensation error that sampling " is brought.
2nd, it is unrelated with the selection of specific network communication protocol due to from TITO-NDCS structures, realizing, thus be both applicable
In the TITO-NDCS using wired network protocol, also suitable for the TITO-NDCS using wireless network protocol；It is not only suitable for really
Qualitative procotol, also suitable for the procotol of uncertainty；The TITO-NDCS of heterogeneous network composition is not only suitable for, simultaneously
Also it is applied to the TITO-NDCS that heterogeneous network is constituted.
3rd, the control loop 1 in TITO-NDCS uses SPC, due to being realized and specific controller from TITO-NDCS structures
C1(s) selection of control strategy is unrelated, thus can be not only used for the TITO-NDCS using conventional control, also available for using intelligence
It can control or using the TITO-NDCS of complex control strategy.
4th, the control loop 2 in TITO-NDCS uses IMC, its internal mode controller C2IMC(s) adjustable parameter only one of which
λ2Parameter, the regulation and selection of its parameter is simple, and explicit physical meaning；Can not only be improved using IMC system stability,
Tracking performance and anti-interference ability, but also the compensation to random network time delay and IMC can be realized.
5th, because the present invention uses compensation and control method that " software " changes TITO-NDCS structures, thus at it
Any hardware device need not be further added by implementation process, the software resource carried using existing TITO-NDCS intelligent nodes, it is sufficient to
Its compensation and control function are realized, hardware investment can be saved and be easy to be extended and applied.
Brief description of the drawings
Fig. 1：NCS typical structure
Fig. 1 is by sensor S nodes, controller C nodes, actuator A nodes, controlled device, feedforward network tunnel list
MemberAnd feedback network tunnel unitConstituted.
In Fig. 1：X (s) represents system input signal；Y (s) represents system output signal；C (s) represents controller；U (s) tables
Show control signal；τcaRepresent the feedforward network for being undergone control signal u (s) from controller C nodes to actuator A node-node transmissions
Tunnel time delay；τscRepresent the feedback net for being undergone the detection signal y (s) of sensor S nodes to controller C node-node transmissions
Network tunnel time delay；G (s) represents controlled device transmission function.
Fig. 2：MIMO-NDCS typical structure
Fig. 2 is by r sensor S node, controller C nodes, m decoupling actuator DA node, controlled device G, m forward direction
Network path propagation delay timeUnit, and r feedback network tunnel time delayUnit
Constituted.
In Fig. 2：yj(s) j-th of output signal of system is represented；ui(s) i-th of control signal is represented；Representing will control
Signal ui(s) during the feedforward network tunnel undergone from controller C nodes to i-th of decoupling actuator DA node-node transmission
Prolong；Represent the detection signal y of j-th of sensor S nodej(s) feedback network undergone to controller C node-node transmissions leads to
Road propagation delay time；G represents controlled device transmission function.
Fig. 3：TITO-NDCS typical structure
Fig. 3 is made up of close loop control circuit 1 and 2, and its system includes sensor S1 and S2 node, controller C1 and C2 section
Point, decouples actuator DA1 and DA2 node, controlled device transmission function G11And G (s)22(s) and controlled device cross aisle pass
Delivery function G21And G (s)12(s), feedforward network tunnel unitWithAnd feedback network tunnel unit
WithCross decoupling channel transfer function P21And P (s)12, and cross decoupling network path transmission unit (s)With
Constituted.
In Fig. 3：x1And x (s)2(s) input signal of system is represented；y1And y (s)2(s) output signal of system is represented；C1
And C (s)2(s) controller of control loop 1 and 2 is represented；u1And u (s)2(s) control signal is represented；yp21And y (s)p12(s) represent
Cross decoupling multi-channel output signal；u1pAnd u (s)2p(s) be decouple actuator DA1 and DA2 node output drive signal；τ21With
τ12Represent cross decoupling channel transfer function P21And P (s)12(s) output signal yp21And y (s)p12(s) to decoupling actuator
The network path propagation delay time that DA2 and DA1 node-node transmissions are undergone；τ1And τ3Represent control signal u1And u (s)2(s) from control
The feedforward network tunnel time delay that device C1 and C2 nodes processed are undergone to decoupling actuator DA1 and DA2 node-node transmission；τ2And τ4
Represent the detection signal y of sensor S1 and S2 node1And y (s)2(s) feedback undergone to controller C1 and C2 node-node transmission
Network path propagation delay time.
Fig. 4：A kind of TITO-NDCS delay compensations and control structure comprising prediction model
In Fig. 4：C1m(s) be control loop 1 controller C1(s) prediction model；C2mIMC(s) it is the interior of control loop 2
Mould controller C2IMC(s) prediction model；AndIt is network transfer delayAndEstimate Time Delay Model；AndIt is network transfer delayAndEstimate Time Delay Model.
Fig. 5：The delay compensation and control structure of prediction model are replaced with true model
Fig. 6：A kind of SPC and IMC methods of TITO-NDCS random delay
Embodiment
The exemplary embodiment of the present invention will be described in detail by referring to accompanying drawing 6 below, makes the ordinary skill people of this area
Member becomes apparent from the features described above and advantage of the present invention.
Specific implementation step is as described below：
For close loop control circuit 1：
The first step：Sensor S1 nodes work in time type of drive, are h when the sensor S1 nodes cycle1Sampling
, will be to controlled device G after signal triggering11(s) output signal y11(s) with controlled device cross aisle transmission function G12(s)
Output signal y12(s) sampled, and calculate the system output signal y of close loop control circuit 11, and y (s)1(s)=y11(s)
+y12(s)；
Second step：Sensor S1 nodes are by feedback signal y1(s), by the feedback network path of close loop control circuit 1 to
Controller C1 node-node transmissions, feedback signal y1(s) will experience network transfer delay τ2Afterwards, controller C1 nodes are got to；
3rd step：Controller C1 nodes work in event driven manner, by feedback signal y1(s) after triggering, by closed loop
The system Setting signal x of control loop 11(s), with feedback signal y1(s) after phase adduction subtracts each other, signal e is obtained1(s), i.e. e1(s)
=x1(s)+y1(s)-y1(s)=x1(s)；
4th step：By signal e1(s) the feedforward network path of close loop control circuit 1 is passed throughUnit to decoupling actuator
DA1 node-node transmissions, signal e1(s) will experience network transfer delay τ1Afterwards, get to decouple actuator DA1 nodes；
5th step：Decoupling actuator DA1 nodes work in event driven manner, by signal e1(s) or Self-crossover is carried out
Decoupling network transmission channelThe output signal y of unitp12(s) triggered；
6th step：After decoupling actuator DA1 nodes are triggered, by signal e1(s) with feedback signal y1(s) subtract each other and obtain
Signal e3(s), i.e. e3(s)=e1(s)-y1(s)；To e3(s) control algolithm C is implemented1(s) control signal u, is obtained1(s)；
7th step：By signal u1(s) cross decoupling passage P is acted on21(s) unit obtains its output signal yp21(s)；Will
Signal yp21(s) cross decoupling network transmission channels are passed throughUnit, to the decoupling actuator DA2 nodes of close loop control circuit 2
Transmission；Signal yp21(s) will experience network transfer delay τ21Afterwards, get to decouple actuator DA2 nodes；
8th step：By signal u1(s) the IMC signals u of actuator DA2 nodes is decoupled with coming from close loop control circuit 22(s)
Pass through cross decoupling passage P12(s) unit and cross decoupling network transmission channelsThe output signal y of unitp12(s) subtract each other
To signal u1p(s), i.e. u1p(s)=u1(s)-yp12(s)；
9th step：By signal u1p(s) controlled device G is acted on11(s) its output valve y is obtained11(s)；By signal u1p(s) make
For controlled device cross aisle transmission function G21(s) its output valve y is obtained21(s)；So as to realize to controlled device G11(s) and
G21(s) decoupling and control, while realizing to network random delay τ1And τ2Compensation and SPC；
Tenth step：Return to the first step；
For close loop control circuit 2：
The first step：Sensor S2 nodes work in time type of drive, are h when the sensor S2 nodes cycle2Sampling
, will be to controlled device G after signal triggering22(s) output signal y22(s) with controlled device cross aisle transmission function G21(s)
Output signal y21(s) sampled, and calculate the system output signal y of close loop control circuit 22, and y (s)2(s)=y22(s)
+y21(s)；
Second step：Sensor S2 nodes are by feedback signal y2(s), by the feedback network path of close loop control circuit 2 to
Controller C2 node-node transmissions, feedback signal y2(s) will experience network transfer delay τ4Afterwards, controller C2 nodes are got to；
3rd step：Controller C2 nodes work in event driven manner, by feedback signal y2(s) after triggering, by closed loop
The system Setting signal x of control loop 22(s), with feedback signal y2(s) after phase adduction subtracts each other, signal e is obtained2(s), i.e. e2(s)
=x2(s)+y2(s)-y2(s)=x2(s)；To e2(s) Internal Model Control Algorithm C is implemented2IMC(s) IMC signals u, is obtained2(s)；
4th step：By IMC signals u2(s) the feedforward network path of close loop control circuit 2 is passed throughUnit is performed to decoupling
Device DA2 node-node transmissions, IMC signals u2(s) will experience network transfer delay τ3Afterwards, get to decouple actuator DA2 nodes；
5th step：Decoupling actuator DA2 nodes work in event driven manner, by IMC signals u2(s) or selfing is carried out
Pitch Decoupling network transmission channelThe output signal y of unitp21(s) triggered；
6th step：After decoupling actuator DA2 nodes are triggered, by IMC signals u2(s) cross decoupling passage P is acted on12
(s) unit obtains its output signal yp12(s)；By signal yp12(s) cross decoupling network transmission channels are passed throughUnit, to closing
The decoupling actuator DA1 node-node transmissions of ring control loop 1；Signal yp12(s) will experience network transfer delay τ12Afterwards, get to
Decouple actuator DA1 nodes；
7th step：By IMC signals u2(s) the signal u of actuator DA1 nodes is decoupled with coming from close loop control circuit 11(s)
Pass through cross decoupling passage P21(s) unit and cross decoupling network transmission channelsThe output signal y of unitp21(s) subtract each other
To signal u2p(s), i.e. u2p(s)=u2(s)-yp21(s)；
8th step：By signal u2p(s) controlled device G is acted on22(s) its output valve y is obtained22(s)；By signal u2p(s) make
For controlled device cross aisle transmission function G12(s) its output valve y is obtained12(s)；So as to realize to controlled device G22(s) and
G12(s) decoupling and control, while realizing to network random delay τ3And τ4Compensation and IMC；
9th step：Return to the first step；
It the foregoing is only presently preferred embodiments of the present invention and oneself, be not intended to limit the invention, all essences in the present invention
God is with principle, and any modification, equivalent substitution and improvements made etc. should be included in the scope of the protection.
The content not being described in detail in this specification belongs to prior art known to professional and technical personnel in the field.
Claims (5)
1. a kind of SPC and IMC methods of TITO-NDCS random delay, it is characterised in that this method comprises the following steps：
For close loop control circuit 1：
(1) is h when the sensor S1 nodes cycle1Sampled signal triggering when, employing mode A is operated；
(2) is when controller C1 nodes are by feedback signal y1(s) when triggering, employing mode B is operated；
(3) is when decoupling actuator DA1 nodes are by signal e1(s) or by from cross decoupling network transmission channelsUnit
Output signal yp12(s) when triggering, employing mode C is operated；
For close loop control circuit 2：
(4) is h when the sensor S2 nodes cycle2Sampled signal triggering when, employing mode D is operated；
(5) is when controller C2 nodes are by feedback signal y2(s) when triggering, employing mode E is operated；
(6) is when decoupling actuator DA2 nodes are by IMC signals u2(s) or by from cross decoupling network transmission channelsUnit
Output signal yp21(s) when triggering, employing mode F is operated；
The step of mode A, includes：
A1：Sensor S1 nodes work in time type of drive, and its trigger signal is cycle h1Sampled signal；
A2：After sensor S1 nodes are triggered, to controlled device G11(s) output signal y11(s) with controlled device cross aisle
Transmission function G12(s) output signal y12(s) sampled, and calculate the system output signal y of close loop control circuit 11
, and y (s)1(s)=y11(s)+y12(s)；
A3：By feedback signal y1(s), fed back by the feedback network path of close loop control circuit 1 to controller C1 node-node transmissions
Signal y1(s) will experience network transfer delay τ2Afterwards, controller C1 nodes are got to；
The step of mode B, includes：
B1：Controller C1 nodes work in event driven manner, by feedback signal y1(s) triggered；
B2：In controller C1 nodes, by the system Setting signal x of close loop control circuit 11(s), with feedback signal y1(s) it is added
And after subtracting each other, obtain signal e1(s), i.e. e1(s)=x1(s)+y1(s)-y1(s)=x1(s)；
B3：By signal e1(s) the feedforward network path of close loop control circuit 1 is passed throughUnit is passed to decoupling actuator DA1 nodes
It is defeated, signal e1(s) will experience network transfer delay τ1Afterwards, get to decouple actuator DA1 nodes；
The step of mode C, includes：
C1：Decoupling actuator DA1 nodes work in event driven manner, by signal e1(s) or passed from cross decoupling network
Defeated passageThe output signal y of unitp12(s) triggered；
C2：By signal e1(s) with feedback signal y1(s) subtract each other and obtain signal e3(s), i.e. e3(s)=e1(s)-y1(s)；To e3(s)
Implement control algolithm C1(s) control signal u, is obtained1(s)；
C3：By signal u1(s) cross decoupling passage P is acted on21(s) unit obtains its output signal yp21(s)；
C4：By signal yp21(s) cross decoupling network transmission channels are passed throughUnit, is performed to the decoupling of close loop control circuit 2
Device DA2 node-node transmissions；Signal yp21(s) will experience network transfer delay τ21Afterwards, get to decouple actuator DA2 nodes；
C5：By signal u1(s) the IMC signals u of actuator DA2 nodes is decoupled with coming from close loop control circuit 22(s) by intersecting
Decouple passage P12(s) unit and cross decoupling network transmission channelsThe output signal y of unitp12(s) subtract each other and obtain signal u1p
(s), i.e. u1p(s)=u1(s)-yp12(s)；
C6：By signal u1p(s) controlled device G is acted on11(s) its output valve y is obtained11(s)；By signal u1p(s) act on controlled
Object cross aisle transmission function G21(s) its output valve y is obtained21(s)；So as to realize to controlled device G11And G (s)21(s)
Decoupling and control, while realizing to network random delay τ1And τ2Compensation and SPC；
The step of mode D, includes：
D1：Sensor S2 nodes work in time type of drive, and its trigger signal is cycle h2Sampled signal；
D2：After sensor S2 nodes are triggered, to controlled device G22(s) output signal y22(s) with controlled device cross aisle
Transmission function G21(s) output signal y21(s) sampled, and calculate the system output signal y of close loop control circuit 22
, and y (s)2(s)=y22(s)+y21(s)；
D3：By feedback signal y2(s), fed back by the feedback network path of close loop control circuit 2 to controller C2 node-node transmissions
Signal y2(s) will experience network transfer delay τ4Afterwards, controller C2 nodes are got to；
The step of mode E, includes：
E1：Controller C2 nodes work in event driven manner, by feedback signal y2(s) triggered；
E2：In controller C2 nodes, by the system Setting signal x of close loop control circuit 22(s), with feedback signal y2(s) it is added
And after subtracting each other, obtain signal e2(s), i.e. e2(s)=x2(s)+y2(s)-y2(s)=x2(s)；
E3：To e2(s) Internal Model Control Algorithm C is implemented2IMC(s) IMC signals u, is obtained2(s)；
E4：By IMC signals u2(s) the feedforward network path of close loop control circuit 2 is passed throughUnit to decoupling actuator DA2 nodes
Transmission, IMC signals u2(s) will experience network transfer delay τ3Afterwards, get to decouple actuator DA2 nodes；
The step of mode F, includes：
F1：Decoupling actuator DA2 nodes work in event driven manner, by IMC signals u2(s) or by from cross decoupling net
Network transmission channelThe output signal y of unitp21(s) triggered；
F2：By IMC signals u2(s) cross decoupling passage P is acted on12(s) unit obtains its output signal yp12(s)；
F3：By signal yp12(s) cross decoupling network transmission channels are passed throughUnit, is performed to the decoupling of close loop control circuit 1
Device DA1 node-node transmissions；Signal yp12(s) will experience network transfer delay τ12Afterwards, get to decouple actuator DA1 nodes；
F4：By IMC signals u2(s) the signal u of actuator DA1 nodes is decoupled with coming from close loop control circuit 11(s) by intersecting
Decouple passage P21(s) unit and cross decoupling network transmission channelsThe output signal y of unitp21(s) subtract each other and obtain signal u2p
(s), i.e. u2p(s)=u2(s)-yp21(s)；
F5：By signal u2p(s) controlled device G is acted on22(s) its output valve y is obtained22(s)；By signal u2p(s) act on controlled
Object cross aisle transmission function G12(s) its output valve y is obtained12(s)；So as to realize to controlled device G22And G (s)12(s)
Decoupling and control, while realizing to network random delay τ3And τ4Compensation and IMC.
2. according to the method described in claim 1, it is characterised in that：From TITO-NDCS structures, realize that system does not include control
The predict-compensate model of all-network time delay in loop 1 and control loop 2, so as to exempt to network delay τ between node1And τ2,
And τ3And τ4Measurement, estimation or recognize, exempt the requirement synchronous to node clock signal.
3. according to the method described in claim 1, it is characterised in that：Realized from TITO-NDCS structures, to random network time delay
The implementation of compensation method, the selection with specific network communication protocol is unrelated.
4. according to the method described in claim 1, it is characterised in that：SPC is used for control loop 1, can be from TITO-NDCS
Realized and specific controller C in structure1(s) selection of control strategy is unrelated, thus can be not only used for the TITO- using conventional control
NDCS, also available for using intelligent control or using the TITO-NDCS of complex control strategy.
5. according to the method described in claim 1, it is characterised in that：IMC is used for control loop 2, its internal mode controller C2IMC
(s) adjustable parameter only one of which λ2Parameter, the regulation and selection of its parameter is simple, and explicit physical meaning；Using IMC not only
Stability, tracking performance and the anti-interference ability of system can be improved, but also the compensation to random network time delay can be realized
With IMC.
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