CN203909498U - Adaptive robust fault-tolerant control architecture model with dynamic fault reconstruction mechanism - Google Patents

Adaptive robust fault-tolerant control architecture model with dynamic fault reconstruction mechanism Download PDF

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CN203909498U
CN203909498U CN201420138465.9U CN201420138465U CN203909498U CN 203909498 U CN203909498 U CN 203909498U CN 201420138465 U CN201420138465 U CN 201420138465U CN 203909498 U CN203909498 U CN 203909498U
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fault
state observer
linear object
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许一男
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Abstract

The utility model relates to an adaptive robust fault-tolerant control architecture model with a dynamic fault reconstruction mechanism, which comprises a sliding-mode control type adaptive general model, a soft sensor-based output model, a non-linear object, a state observer and a fault reconstruction model. The sliding-mode control type adaptive general model is connected with the signal input end of the soft sensor-based output model. The two ends of the on-linear object and the state observer are respectively connected together. A control switch is arranged among the sliding-mode control type adaptive general model, the signal output end of the soft sensor-based output model, the non-linear object and the state observer. The state observer, the fault reconstruction model and the soft sensor-based output model are connected together. The adaptive robust fault-tolerant control architecture model with the dynamic fault reconstruction mechanism has the advantages of simple structure, micro power consumption, high sensitivity, wide range of working voltages and the like.

Description

With the fault-tolerant control framework model of ADAPTIVE ROBUST of dynamic fault reconstruct
Technical field
The utility model relates to the fault-tolerant control framework model of a kind of ADAPTIVE ROBUST, particularly with the fault-tolerant control framework model of ADAPTIVE ROBUST of dynamic fault reconstruct.
Background technology
At present, there are many ADAPTIVE ROBUST fault tolerant control methods for nonlinear system both at home and abroad, the problem such as the robustness of monofilament ubiquity line fault detect is low, and fault-tolerant control sensitivity is low.
Summary of the invention
The purpose of this utility model is to overcome above-mentioned deficiency, provides a kind of ADAPTIVE ROBUST with dynamic fault reconstruct simple in structure, that real-time is high, highly sensitive fault-tolerant control framework model.
To achieve these goals, the utility model has been taked following technical scheme.
The utility model comprises the self-adaptation universal model based on sliding formwork control, the output model based on soft measurement, non-linear object, state observer and failure reconfiguration model with the fault-tolerant control framework model of ADAPTIVE ROBUST of dynamic fault reconstruct; The signal input part of the self-adaptation universal model of described sliding formwork control and the output model based on soft measurement links together, together with the two ends of described non-linear object and state observer are connected to, between the signal output part of the described self-adaptation universal model based on sliding formwork control and the output model based on soft measurement and described non-linear object and state observer link, be provided with gauge tap; Described state observer is connected with failure reconfiguration model and the output model based on soft measurement.
Described self-adaptation universal model and non-linear object based on sliding formwork control links together, and the described output model state observer based on soft measurement links together.
The beneficial effect such as the utlity model has simple in structure, micro-power consumption, highly sensitive, operating voltage range is wide.
Brief description of the drawings
Fig. 1 is the formation schematic diagram of the utility model with the fault-tolerant control framework model of ADAPTIVE ROBUST of dynamic fault reconstruct.
Embodiment
As shown in Figure 1, the utility model comprises the self-adaptation universal model 1 based on sliding formwork control, the output model 2 based on soft measurement, non-linear object 3, state observer 4 and failure reconfiguration model 5 with the fault-tolerant control framework model of ADAPTIVE ROBUST of dynamic fault reconstruct; The signal input part of the self-adaptation universal model 1 of described sliding formwork control and the output model 2 based on soft measurement links together, together with described non-linear object 3 is connected to the two ends of state observer 4, between the signal output part of the described self-adaptation universal model 1 based on sliding formwork control and the output model based on soft measurement 2 and described non-linear object 3 and state observer 4 links, be provided with gauge tap 6; Described state observer 4 is connected with failure reconfiguration model 5 and the output model based on soft measurement 2.
In Fig. 1, in the time that system is normally moved, gauge tap 6 is connected to the self-adaptation universal model 1 based on synovial membrane control.In the self-adaptation universal model 1 based on synovial membrane control, first select suitable sliding-mode surface, by utilizing sliding formwork control Reaching Law, the self-adaptation universal model of design based on sliding formwork control, thereby overcome the uncertainty of system, and to disturbing and controlling model and further improve robustness; State observer 4 utilizes Gao Mu-Guan Ye (Takagi-Sugeno) fuzzy model to realize, and to the input and output signal state of Real-Time Monitoring non-linear object 3, it carries out On-line Estimation to the fault of system state and non-linear object system simultaneously; The input information of estimating from state observer 4 is to failure reconfiguration model 5, in the time of the threshold value of state estimation value in nonlinear system 3 normal range of operation, gauge tap 6 is connected to the self-adaptation universal model 1 based on synovial membrane control, and controls by the path of the self-adaptation universal model 1 based on synovial membrane control, gauge tap 6, non-linear object 3; When threshold value within state estimation value exceedes nonlinear system 3 normal range of operation, controlled system can be seen as and break down.Now, gauge tap 6 is connected to the output model 2 based on soft measurement, and the input information estimated of state observer 4 is to the output model 2 based on soft measurement, and the path of output model 2 by soft measurement, gauge tap 6, non-linear object 3 is controlled.
The utility model, on the basis of above-mentioned connected mode, can also link together by described self-adaptation universal model 1 and non-linear object 3 based on sliding formwork control, and described output model 2 state observers 4 based on soft measurement link together.
Principle of work of the present utility model is:
As shown in Figure 1, the self-adaptation universal model 1 based on sliding formwork control and the output model based on soft measurement 2 receive input signal simultaneously.First, gauge tap 6 is connected to the self-adaptation universal model 1 based on sliding formwork control, and input signal is through the self-adaptation universal model 1 based on sliding formwork control and be connected to non-linear object 3 and state observer 4.In the time that system is normally moved, the signal that the self-adaptation universal model 1 based on sliding formwork control receives is by directly exporting final signal after non-linear object 3.Now, state observer 4 is also observed input signal and output signal simultaneously, and observe the state of current system in real time, and current observation signal is transferred to output model 2 and the failure reconfiguration model 5 based on soft measurement simultaneously.In the time that system detects fault, failure reconfiguration model 5 is classified and sets up failure reconfiguration model current deviation and fault-signal, afterwards, gauge tap 6 is connected to the output model 2 based on soft measurement, and by non-linear object 3, state observer 4, failure reconfiguration model 5, fault is compensated.

Claims (2)

1. with the fault-tolerant control framework model of ADAPTIVE ROBUST of dynamic fault reconstruct, it is characterized in that: comprise the self-adaptation universal model (1) based on sliding formwork control, the output model (2) based on soft measurement, non-linear object (3), state observer (4) and failure reconfiguration model (5); The self-adaptation universal model (1) of described sliding formwork control and the signal input part of the output model based on soft measurement (2) link together, the two ends of described non-linear object (3) and state observer (4) are connected to together, between the signal output part of described self-adaptation universal model (1) based on sliding formwork control and the output model based on soft measurement (2) and described non-linear object (3) and state observer (4) link, are provided with gauge tap (6); Described state observer (4) is connected with failure reconfiguration model (5) and the output model based on soft measurement (2).
2. the fault-tolerant control framework model of the ADAPTIVE ROBUST with dynamic fault reconstruct according to claim 1, it is characterized in that: described self-adaptation universal model (1) and non-linear object (3) based on sliding formwork control links together, and described output model (2) state observer (4) based on soft measurement links together.
CN201420138465.9U 2014-03-26 2014-03-26 Adaptive robust fault-tolerant control architecture model with dynamic fault reconstruction mechanism Expired - Fee Related CN203909498U (en)

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Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105301959A (en) * 2015-06-17 2016-02-03 北京控制工程研究所 Space robot control method not depending on model parameters
CN106154839A (en) * 2016-09-19 2016-11-23 重庆大学 Nonlinear system robust adaptive tracking control method based on unknown object track
CN109991857A (en) * 2019-05-07 2019-07-09 中国民航大学 Failure reconfiguration method based on PD type study observer
CN110658724A (en) * 2019-11-20 2020-01-07 电子科技大学 Self-adaptive fuzzy fault-tolerant control method for nonlinear system
CN108762088B (en) * 2018-06-20 2021-04-09 山东科技大学 Sliding mode control method for hysteresis nonlinear servo motor system

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105301959A (en) * 2015-06-17 2016-02-03 北京控制工程研究所 Space robot control method not depending on model parameters
CN105301959B (en) * 2015-06-17 2018-07-24 北京控制工程研究所 A kind of robot for space control method of independent of model parameter
CN106154839A (en) * 2016-09-19 2016-11-23 重庆大学 Nonlinear system robust adaptive tracking control method based on unknown object track
CN106154839B (en) * 2016-09-19 2019-02-01 重庆大学 Nonlinear system robust adaptive tracking control method based on unknown object track
CN108762088B (en) * 2018-06-20 2021-04-09 山东科技大学 Sliding mode control method for hysteresis nonlinear servo motor system
CN109991857A (en) * 2019-05-07 2019-07-09 中国民航大学 Failure reconfiguration method based on PD type study observer
CN110658724A (en) * 2019-11-20 2020-01-07 电子科技大学 Self-adaptive fuzzy fault-tolerant control method for nonlinear system

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Granted publication date: 20141029

Termination date: 20160326