Since the heat dissipation problemis harsh in high power LED lamp, in our studywe suggest an optimal design method of high-power LED lamps radiator based on the equivalent thermal circuit method, we abstract mathemati...
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Since the heat dissipation problemis harsh in high power LED lamp, in our studywe suggest an optimal design method of high-power LED lamps radiator based on the equivalent thermal circuit method, we abstract mathematical model of the heat dissipation system of the lamps, then chose several key parameters of radiator--spacing of fins S, height of fins H, thickness of fins t and number of Micro Heat Pipe ArrayN Has design parameters, and set minimum temperature of the chips as optimization objective. Based on the optimization algorithm we have mentioned, we designed a new radiator for high power LED lamps, through steady-heat-thermal analysis in ANSYS software, the junction temperature is far below the requirement. Therefore, the optimization algorithm can be effectively applied to radiator design of high power LED devices with the advantage of accuracy and swiftness.
Characteristic modeling and the adaptive control design based on it have attracted increasing attention from the research community due to their many successful practical applications that have been reported. This pap...
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ISBN:
(纸本)9781467374439
Characteristic modeling and the adaptive control design based on it have attracted increasing attention from the research community due to their many successful practical applications that have been reported. This paper presents a Matlab simulation platform that has been developed to facilitate the study of characteristic model based adaptive controlsystems. The simulation platform consists of two interweaving components: for a given continuous-time linear time-invariant plant, represented by a transfer function, and a specified sampling period, the simulation platform calculates a discretized model of the plant, and the corresponding characteristic model, and with a specified set of initial conditions of the characteristic model and its coefficients, along with the specified duration of simulation and reference input, the simulation platform will adaptively tune the coefficients of the characteristic model and calculate the outputs of the plant and the characteristic model. All the data needed for the simulation will be entered through a graphic user interface, which also plots the evolution of the outputs of the plant and the characteristic model as well as the evolution of the coefficients of the characteristic model. The simulation results can also be saved for off line plotting and analysis through the graphic user interface.
To reduce wastewater overflow and high power cost caused by unreasonably operating pump device in urban drainage system,a pump performance-based energy optimization strategy is proposed.A mathematical model is built b...
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To reduce wastewater overflow and high power cost caused by unreasonably operating pump device in urban drainage system,a pump performance-based energy optimization strategy is proposed.A mathematical model is built based on the typical topological structure of urban drainage systems,and the calculation equations for sewerage inflow,outflow and storage condition of relevant pumping stations are *** energy saving optimization algorithm regard pump efficiency as linear which limits the optimization *** guarantee the energy saving effect,a nonlinear mathematical model of pump performance is *** to the nonlinear relationships among pump flow,head and efficiency,total energy consumption in the next two time-domain is *** consumption of the system can be reduced by optimizing the outflow of relevant pump stations *** with traditional control methods of urban drainage system,the simulation results demonstrate that the proposed optimization algorithm can reduce system energy consumption as well as avoid wastewater overflow efficiently.
In this paper is proposed a method to improve the tracking performance of repetitive controllers in Uninterruptible Power Supplies (UPS). The main idea is to simultaneously compensate the gain reduction and frequency ...
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A discrete-time current controller is presented for the current loop of the permanent magnet synchronous motor drives. Firstly, the difference equations of current errors are obtained for constant reference values. Th...
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A discrete-time current controller is presented for the current loop of the permanent magnet synchronous motor drives. Firstly, the difference equations of current errors are obtained for constant reference values. Then, a dead-beat controller is designed to drive the dq-axes currents to the desired values. Discrete-time integral action with an anti-windup scheme is added to the dead-beat structure to achieve a better steady-state behaviour. In order to improve the transient properties of the controller, a current prediction scheme based on dead-beat structure is also introduced to the controller. Finally, the proposed controller is implemented through numerical simulations to illustrate the effectiveness for both transient and steady-state responses.
With the great improvement of operational speed of trains, the on-board ATP of the high-speed railway plays an essential role in train's safe operation as a major component of the signal system. Therefore, it is n...
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With the great improvement of operational speed of trains, the on-board ATP of the high-speed railway plays an essential role in train's safe operation as a major component of the signal system. Therefore, it is necessary and important to identify and assess risks in the on-board ATP. In this paper, a quantitative risk assessment method is proposed based on the Bow-tie model. Event trees are exploited for the graphical presentations of accident evolution path from risks. Moreover, it can quantitatively evaluate the accident probabilities and frequencies. The potential risks of system have been identified as well as system's weak link by fault tree analysis, which are the initial events of event tree. Combined with the ALARP principle with F-N curve, the risk acceptable level may be determined. In addition, the safety integrity level of system can be revaluated correctly. Finally, in the case study, the method is applied to analyze the on-board ATP.
Demand response (DR) used in smart grid (SG) can enhance the reliability of the power system as well as reduce the energy costs for customers. One of the major consumers of electrical energy is industry. In this study...
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Demand response (DR) used in smart grid (SG) can enhance the reliability of the power system as well as reduce the energy costs for customers. One of the major consumers of electrical energy is industry. In this study, we develop a hardware-in-the-loop (HIL) simulator to demonstrate how to practically implement DR in industrial facilities. The HIL simulator includes an energy management system (EMS), a monitoring and controlsystem (MCS), an industrial Ethernet backbone network based on RAPIEnet protocol, and a wireless field network based on ISA100.11a protocol. The results show that the electricity demand of industrial facilities can be shifted from peak to off-peak demand periods to improve the reliability of the electrical grid.
This paper presents a new approach to dynamic system state estimation under bounded noises via the Evidential Reasoning(ER) *** method regards the dynamic system equations and the actual observations of the system sta...
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ISBN:
(纸本)9781479919819
This paper presents a new approach to dynamic system state estimation under bounded noises via the Evidential Reasoning(ER) *** method regards the dynamic system equations and the actual observations of the system states as two information *** random set description of evidence and the extension principle of random set are used to recursively generate state evidence and observation evidence respectively from the two information sources and to propagate them in system *** each time step,the ER rule is used to fuse the two pieces of evidence in observation domain and then the fused result is transformed to state domain by the extension *** expectation of the fused result is calculated as state estimation *** with the estimation method using interval analysis and evidence theory given by Nassreddine,the proposed approach makes estimation results more accurate by using fusion mechanism of the ER rule considering weight and reliability of *** method is shown to have better performances in an application to liquid level estimation of industrial level apparatus than does the Nassreddine's method.
The control of bilateral teleoperators is challenging due to the complexity of their nonlinear dynamics, the time delays in the communications as well as the wide range of practical real applications. In this paper, o...
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ISBN:
(纸本)9781479947249
The control of bilateral teleoperators is challenging due to the complexity of their nonlinear dynamics, the time delays in the communications as well as the wide range of practical real applications. In this paper, operational space adaptive control of hybrid motion/force synchronization is proposed for bilateral networked teleoperation system with asymmetric timevarying delays in communication channels. The adaptive control with parameter update mechanism is developed to deal with the different kinematics, dynamics uncertainties and external disturbances for the master robot and the slave robot. The system stability is rigorously proved using Lyapunov stability synthesis. The proposed adaptive control is robust against relative motion disturbances, parametric uncertainties and time delay, which is validated by extensive simulation studies.
Mobile robots' motion is constrained by the maximum velocity its actuators can provide,when it tracks a reference trajectory which imposes demanding requirements on the robot's driving *** this paper,a model p...
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ISBN:
(纸本)9781479947249
Mobile robots' motion is constrained by the maximum velocity its actuators can provide,when it tracks a reference trajectory which imposes demanding requirements on the robot's driving *** this paper,a model predictive control(MPC) scheme is proposed for trajectory tracking control of two-wheel mobile *** on the derived tracking-error kinematics of the robot,the proposed MPC approach can be iteratively formulated as a quadratic programming(QP) problem,which can be solved using a linear variable inequality based primal-dual neural network(LVI-PDNN) over a finite receding *** applied neural networks are both stable in the sense of Lyapunov and globally convergent to the exact optimal solutions of reformulated convex programming *** smoothness of the robot motion is improved,a reasonable magnitudes of the robot velocities and a better tracking performance are *** and experimental results are provided to demonstrate the effectiveness and characteristics of the proposed LVI-PDNN based MPC approaches to trajectory tracking control.
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