Robot-assisted vascular interventions present promising trend for reducing the X-ray radiation to the surgeon during the operation. However, the control methods in the current vascular interventional robots only repea...
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ISBN:
(纸本)9781424492695
Robot-assisted vascular interventions present promising trend for reducing the X-ray radiation to the surgeon during the operation. However, the control methods in the current vascular interventional robots only repeat the manipulation of the surgeon. While under certain circumstances, it is necessary to scale the manipulation of the surgeon to obtain a higher precision or a shorter manipulation time. A novel control method based on motion scaling for vascular interventional robot is proposed in this paper. The main idea of the method is to change the motion speed ratios between the master and the slave side. The motion scaling based control method is implemented in the vascular interventional robot we've developed before, so the operator can deliver the interventional devices under different motion scaling factors. Experiment studies verify the effectiveness of the motion scaling based control.
The optimal path planning for fixed-wing unmanned aerial vehicles(UAVs) in multi-target surveillance tasks(MTST) in the presence of wind is *** take into account the minimal turning radius of UAVs,the Dubins model is ...
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The optimal path planning for fixed-wing unmanned aerial vehicles(UAVs) in multi-target surveillance tasks(MTST) in the presence of wind is *** take into account the minimal turning radius of UAVs,the Dubins model is used to approximate the dynamics of *** on the assumption,the path planning problem of UAVs in MTST can be formulated as a Dubins traveling salesman problem(DTSP).By considering its prohibitively high computational cost,the Dubins paths under terminal heading relaxation are introduced,which leads to significant reduction of the optimization scale and difficulty of the whole ***,in view of the impact of wind on UAVs' paths,the notion of virtual target is *** application of the idea successfully converts the Dubins path planning problem from an initial configuration to a target in wind into a problem of finding the minimal root of a transcendental ***,the Dubins tour is derived by using differential evolution(DE) algorithm which employs random-key encoding technique to optimize the visiting sequence of ***,the effectiveness and efficiency of the proposed algorithm are demonstrated through computational *** results exhibit that the proposed algorithm can produce high quality solutions to the problem.
This paper considers the synchronization of a network of nonlinear systems with disturbances in input and measured *** assume that every agent satisfies passivity *** defining a controlled output,the synchronization p...
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ISBN:
(纸本)9781479970186
This paper considers the synchronization of a network of nonlinear systems with disturbances in input and measured *** assume that every agent satisfies passivity *** defining a controlled output,the synchronization problem is converted to H control *** design a distributed dynamical output-feedback control protocol such that the closed-loop system satisfies a guaranteed H *** addition,we design a distributed static output-feedback control protocol such that the closed-loop system satisfies a guaranteed H performance in the case that the measured output is not influenced by disturbance.A numerical example about Goodwin oscillators is presented to illustrate the effectiveness of the proposed control law.
Aiming to improve the control precision of pump-HA(high pressure automatic variables) motor speed controlsystems, the characteristic of HA motor displacement control mechanism is analyzed, and the mathematical model ...
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ISBN:
(纸本)9781467371902
Aiming to improve the control precision of pump-HA(high pressure automatic variables) motor speed controlsystems, the characteristic of HA motor displacement control mechanism is analyzed, and the mathematical model of pump-HA motor system is established. Taking the nonlinear character of the system, the system is approximated to a few of first order plus time delay processes, according to the working conditions. Parameters of the system models under different working conditions are identified by step response identification, PID parameters are tuned by a parameter tuning algorithm. A UKF state estimator is designed to estimate the load torque on the basis of the state space model established, then PID parameters are switched according to the desired speed and load torque. The research results indicate that switched PID control can ensure the system always has a good dynamic performance under different conditions and improve the control precision, making the system deal with various complex working conditions.
This paper studies the consensus problem of multi-agent systems in which all agents are modeled by a general linear system. The authors consider the case where only the relative output feedback between the neighboring...
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This paper studies the consensus problem of multi-agent systems in which all agents are modeled by a general linear system. The authors consider the case where only the relative output feedback between the neighboring agents can be measured. To solve the consensus problem, the authors first construct a static relative output feedback control under some mild constraints on the system model. Then the authors use an observer based approach to design a dynamic relative output feedback control. If the adjacent graph of the system is undirected and connected or directed with a spanning tree, with the proposed control laws, the consensus can be achieved. The authors note that with the observer based approach, some information exchange between the agents is needed unless the associated adjacent graph is completely connected.
This paper proposes a finite-time robust flight controller, targeting for a reentry vehicle with blended aerodynamic surfaces and a reaction control system(RCS). Firstly, a novel finite-time attitude controller is p...
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This paper proposes a finite-time robust flight controller, targeting for a reentry vehicle with blended aerodynamic surfaces and a reaction control system(RCS). Firstly, a novel finite-time attitude controller is pointed out with the introduction of a nonsingular finite-time sliding mode manifold. The attitude tracking errors are mathematically proved to converge to zero within finite time which can be estimated. In order to improve the performance, a second-order finite-time sliding mode controller is further developed to effectively alleviate chattering without any deterioration of robustness and accuracy. Moreover, an optimizationcontrol allocation algorithm, using linear programming and a pulse-width pulse-frequency(PWPF) modulator, is designed to allocate torque commands for all the aerodynamic surface deflections and on–off switching-states of RCS *** are provided for the reentry vehicle considering uncertain parameters and external disturbances for practical purposes, and the results demonstrate the effectiveness and robustness of the attitude control system.
A success of an improvement project on solving a problem in an organization is not only depending an appropriate methodology on problem solving with Lean, TOC or 6 sigma with relevant tools, but also it is very import...
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ISBN:
(纸本)9781509029280
A success of an improvement project on solving a problem in an organization is not only depending an appropriate methodology on problem solving with Lean, TOC or 6 sigma with relevant tools, but also it is very important to have an appropriate methodology and process on change management integrated with project management during the improvement project. This paper describes the principle of change management based on existing literature, and illustrates a case study on how an improvement project apply theory and methodology of change management to make successful change. Firstly, the literature review relevant to concerns for support change in a business environment is introduced. General tools, models, and solutions to make a change effectively in an organization are explained. Next one framework with relevant tools and models are selected to the case study that conducts a manufacturing with ETO (Engineering-to-order) product. Next regarding the readiness for change, and the implementation of the change the paper introduces how the selected framework and the tools and models on change management is integrated with project management during different phases of the improvement project. As a result, it shows a success both from improvement project and change management perspective. In particular, achievement in the change management is not only showing the successful improvement project, but also the organization realizes another great positive change - people's improved behavior on daily work. Hence a long-term benefit from the improvement project and change management is gained. The achievement shows that similar approach on change management in an organization may be applied to more organizations.
Coordination control of multiple rigid bodies attracts much attention of researchers due to its wide applications. This paper presents the pose synchronization problem of the moving rigid bodies whose dynamics is desc...
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ISBN:
(纸本)9781467374439
Coordination control of multiple rigid bodies attracts much attention of researchers due to its wide applications. This paper presents the pose synchronization problem of the moving rigid bodies whose dynamics is described by the group SE(3).The case of bidirectional neighbor graphs with switching interconnection topologies is considered. We design a distributed control law based on relative rotation matrices and relative positions between the neighboring rigid bodies, and show that the SE(3)reaches pose synchronization if and only if the neighbor graphs are infinitely jointly connected, which relaxes the theoretical results in the existing literature.
In this paper, a radial basis function (RBF) neural network (NN) identifier based approximate constrained optimal guidance law is proposed for Mars entry vehicles guidance. Firstly, an RBF NN identifier is used to ide...
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In this paper, a radial basis function (RBF) neural network (NN) identifier based approximate constrained optimal guidance law is proposed for Mars entry vehicles guidance. Firstly, an RBF NN identifier is used to identify the system uncertain parameters. With the identified parameters, the optimal guidance problem of Mars entry vehicles is transformed into an optimal tracking control one, which depends on the solution of the Hamilton-Jacobi-Bellman (HJB) equation. Due to the control input constraints, a generalized non-quadratic performance function is proposed. In general, the HJB equation is a nonlinear partial differential equation that is difficult or even impossible to be solved analytically. We use an NN to solve the HJB equation approximately. Finally, the Monte-Carlo simulation results on the Mars entry vehicles demonstrate the effectiveness of the proposed method.
Mud pulse signal extracting in Wireless measure while drilling (MWD) was a core technology in the process of oil drilling development. Whether the resolution of detected mud pulse signal start point location is accura...
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