This paper focuses on an integral sliding mode control(ISMC) algorithm for the fault-tolerant control of linear continuous multi-input systems with non-smooth nonsymmetric actuator dead-zone failure and unmatched *** ...
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This paper focuses on an integral sliding mode control(ISMC) algorithm for the fault-tolerant control of linear continuous multi-input systems with non-smooth nonsymmetric actuator dead-zone failure and unmatched *** dead-zone is first modeled as a combination of a line and a disturbance-like term. And the novelty of the paper lies in that the treatment of the deadzone failure based on the simplified dead-zone model. The bounded disturbancelike term which enters the state equation at the same point as the control input can be rejected completely by ISMC technology, and the linear part of the deadzone will be compensated by state feedback controller based on linear matrix inequality(LMI). It is worth pointing out that once the system is in the sliding mode, the proposed integral sliding mode control law ensures that the dead zone is compensated completely and sustains the better nature of performing unmatched perturbations attenuation than utilizing H∞ control analytical technique alone. Finally, the feasibility of our proposed algorithm is illustrated by using a numerical example.
This paper focuses on integral sliding mode output control for linear delta operator systems with insensitivity to sampling time jitter in the case of small sampling times along with unmatched disturbances. A delta-do...
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This paper focuses on integral sliding mode output control for linear delta operator systems with insensitivity to sampling time jitter in the case of small sampling times along with unmatched disturbances. A delta-domain integral sliding mode sector can be reached without chattering by employing a novel reaching law to avoid the inherent numerical ill-condition resulting from using the traditional shift-domain model at high sampling rates. Parameter sensitivity function of the transfer function with respect to sampling time jitter is also defined to mitigate the effect of sampling time jitter which may cause significant degradation of the overall system performance. By combining the novel bounded real lemma for delta operator using integral sliding mode adaptive control approach, a method of designing output feedback controller with insensitive to sample time jitter based on linear matrix inequality(LMI) is proposed, where the corresponding reaching law proposed is able to reduce the chattering. Finally, a numerical example is presented to show the effectiveness of the proposed method.
In the consideration of constraints, repetitive model predictive control is an effective method to track a periodic signal as well as reject a periodic disturbance. However, in practical systems, it is difficult to de...
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ISBN:
(纸本)9781479952007
In the consideration of constraints, repetitive model predictive control is an effective method to track a periodic signal as well as reject a periodic disturbance. However, in practical systems, it is difficult to determine the period of the disturbance;meanwhile, too much information is needed for the design of repetitive controller, thus will make it difficult for the design of controller. In this paper, a system subject to periodic disturbance with Markov jump uncertainty is considered and a new method of repetitive model predictive control with Markov jump model has been introduced to reject the disturbance. The simulation demonstrates that the proposed method is effective.
Most current researches working on improving stiffness focus on the application of control *** controller in closed-loop hydraulic controlsystem takes effect only after the controlled position is deviated,so the cont...
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Most current researches working on improving stiffness focus on the application of control *** controller in closed-loop hydraulic controlsystem takes effect only after the controlled position is deviated,so the control action is *** dynamic performance against force disturbance and dynamic load stiffness can’t be improved evidently by advanced control *** this paper,the elementary principle of maintaining piston position unchanged under sudden external force load change by charging additional oil is *** this basis,the conception of raising dynamic stiffness of electro hydraulic position servo system by flow feedforward compensation is put *** a scheme using double servo valves to realize flow feedforward compensation is presented,in which another fast response servo valve is added to the regular electro hydraulic servo system and specially utilized to compensate the compressed oil volume caused by load impact in *** two valves are arranged in parallel to control the cylinder ***,the model of flow compensation is derived,by which the product of the amplitude and width of the valve’s pulse command signal can be *** determination rules of the amplitude and width of pulse signal are concluded by analysis and *** the proposed scheme,simulations and experiments at different positions with different force changes are *** simulation and experimental results show that the system dynamic performance against load force impact is largely improved with decreased maximal dynamic position deviation and shortened settling *** is,system dynamic load stiffness is evidently *** paper proposes a new method which can effectively improve the dynamic stiffness of electro-hydraulic servo systems.
作者：
Guang-Song HanZhi-Hong GuanJie ChenDing-Xin HeMing ChiCollege of Automation
Huazhong University of Science and Technology Wuhan 430074 China and the Key Laboratory of Image Information Processing and Intelligent Control (Huazhong University of Science and Technology) Ministry of Education Wuhan 430074 China
A multi-tracking problem of multi-agent networks is investigated in this paper where multi-tracking refers to that the states of multiple agents in each subnetwork asymptotically converge to the same desired trajector...
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A multi-tracking problem of multi-agent networks is investigated in this paper where multi-tracking refers to that the states of multiple agents in each subnetwork asymptotically converge to the same desired trajectory in the presence of information exchanges among *** multi-tracking of first order multi-agent networks with directed topologies was ***-triggered protocols were proposed along with triggering functions to solve the stationary multi-tracking and bounded dynamic *** self-triggered scheduling is obtained, and the system does not exhibit Zeno *** examples are provided to illustrate the effectiveness of the obtained criteria.
HJ-1C satellite was launched in November 2012 as the first civil spaceborne SAR system of S band in China. Since the image geolocation is essential for the quantificational study of the system specifications of HJ-1C,...
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HJ-1C satellite was launched in November 2012 as the first civil spaceborne SAR system of S band in China. Since the image geolocation is essential for the quantificational study of the system specifications of HJ-1C, the paper focuses on the geolocation of HJ-1C SAR image, including the systematic position accuracy of HJ-1C satellite image, and the higher position accuracy with GCPs (ground control point). In addition, a novel equivalent-range-doppler method is presented in this paper to geolocate HJ-1C satellite image using only one GCP.
作者：
王陆李柠李少远Department of Automation
Shanghai Jiao Tong UniversityKey Laboratory of System Control and Information ProcessingMinistry of Education of China
In this paper, a historical objective function benchmark is proposed to monitor the performance of data-driven subspace predictive controlsystems. A new criterion for selection of the historical data set can be used ...
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In this paper, a historical objective function benchmark is proposed to monitor the performance of data-driven subspace predictive controlsystems. A new criterion for selection of the historical data set can be used to monitor the controller0s performance, instead of using traditional methods based on prior knowledge. Under this monitoring framework, users can define their own index based on different demands and can also obtain the historical benchmark with a better sensitivity. Finally, a distillation column simulation example is used to illustrate the validity of the proposed algorithms.
Processes with multiphase are commonly found in process industries. Process dynamics and correlations among variables tend to change with the transitions across such phases. In this paper, we propose a new data-driven...
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ISBN:
(纸本)9781467355339
Processes with multiphase are commonly found in process industries. Process dynamics and correlations among variables tend to change with the transitions across such phases. In this paper, we propose a new data-driven predictive control strategy with the consideration of the important multiphase feature. The method aims to feature the multiphase data and use the data to design the controller. First, the data is divided and weighted based on the multiple phases and transitions. Through the minimal image representation, the data-driven prediction of future trajectory can be obtained and thus the computation of dynamic optimization. In the proposed controller, data Hankel matrices is direct incorporated in the predictive control laws, without a model or an intermediate step to meet the given performance specifications. Finally, the proposed predictive controller is demonstrated on a multiphase process.
Communication Based Train control(CBTC)system is a kind of advanced train automatic controlsystem that integrates radio communication and automation control *** happens frequently in CBTC train ground communication s...
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Communication Based Train control(CBTC)system is a kind of advanced train automatic controlsystem that integrates radio communication and automation control *** happens frequently in CBTC train ground communication system,which may result in communication interrupt and long *** this paper,we propose a new handoff decision algorithm based on improved Grey Verhulst model for the Time Division-Long Term Evolution(TD-LTE)based train-ground communication *** proposed handoff decision algorithm can be used under free space and leaky coaxial cable equipped *** Grey Verhulst model is used to predict the Reference Signal Receiving Power(RSRP)values from two Radio Remote Units(RRU).Compared with traditional Verhulst model,improved Grey Verhulst model can optimize parameters to eliminate the inherent errors in data sequence *** handoff decision action is performed based on the predicted RSRP *** results show that the proposed handoff decision algorithm can decrease pingpong handoff and improve the handoff delay compared with the traditional A3 event based scheme in LTE systems.
Quantum ensemble classification has significant applications in discrimination of atoms (or molecules), separation of isotopic molecules and quantum information extraction. In this paper, we recast quantum ensemble cl...
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ISBN:
(纸本)9781479914821
Quantum ensemble classification has significant applications in discrimination of atoms (or molecules), separation of isotopic molecules and quantum information extraction. In this paper, we recast quantum ensemble classification as a supervised quantum learning problem. A systematic classification methodology is presented by using a sampling-based learning control (SLC) approach for quantum discrimination. The classification task is accomplished via simultaneously steering members belonging to different classes to their corresponding target states (e.g., mutually orthogonal states). Numerical results demonstrate the effectiveness of the proposed approach for the discrimination of two quantum systems and the binary classification of two-level quantum ensembles.
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