This paper studies the traffic overload control issue in the new generation electric communication network. We propose an energy-efficient traffic overload control algorithm based on genetic algorithm and hybrid parti...
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ISBN:
(纸本)9781510804166
This paper studies the traffic overload control issue in the new generation electric communication network. We propose an energy-efficient traffic overload control algorithm based on genetic algorithm and hybrid particle swarm optimization. We simultaneously consider the traffic overload control and energy efficiency in the soft-switch server of new generation electric communication networks. Then the rate allocation method is used to construct the control input rate. The energy-efficient traffic overload control model is built. And we use the hybrid particle swarm optimization to solve the model, the initial solution is obtained, and then genetic algorithm is used to handle the initial solution, and obtain the exact optimal solution. Finally, the simulation results show that the proposed algorithm is feasible and effective.
In this paper the problem of designing a second-order sliding mode controller for nonlinear systems with bounded uncertainties is addressed. The adding a power integrator technique is applied to develop a new second-o...
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ISBN:
(纸本)9781479983926
In this paper the problem of designing a second-order sliding mode controller for nonlinear systems with bounded uncertainties is addressed. The adding a power integrator technique is applied to develop a new second-order sliding mode control algorithm. It is shown that under the controller thus designed, the resulting closed-loop system can achieve the finite-time Lyapunov stability, which is superior to the similar results in the literature that can only give the finite-time convergence. The performance of the new second-order sliding mode control algorithm is demonstrated by an illustrative example.
This paper investigates the controllability of a 6-phase single winding bearingless permanent magnet (PM) slice machine drive system under a variety of power electronic short-circuit conditions and the proper control ...
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ISBN:
(纸本)9781479903375
This paper investigates the controllability of a 6-phase single winding bearingless permanent magnet (PM) slice machine drive system under a variety of power electronic short-circuit conditions and the proper control algorithms to accomplish the successful rotor levitation under these short-circuit faults. Analysis shows that the bearingless PM slice machine drive system is only controllable under the following short-circuit fault conditions: 1) short circuit in one single phase winding, 2) short circuit in two adjacent phase windings, and 3) short circuit in two opposite phase windings. Experiments are performed for the above three short-circuit fault conditions to verify the proposed control algorithms.
A power system consisting of a photovoltaic (PV) array panel, dc-to-dc switching converter and a battery is considered in this paper. A backstepping PWM controller is developed to maximize the power of the solar gener...
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ISBN:
(纸本)9781424474264
A power system consisting of a photovoltaic (PV) array panel, dc-to-dc switching converter and a battery is considered in this paper. A backstepping PWM controller is developed to maximize the power of the solar generating system. The controller tracks a desired array voltage, designed online using an incremental conductance extremum-seeking algorithm, by varying the duty cycle of the switching converter. The stability of the control algorithm is demonstrated by means of Lyapunov analysis.
This paper introduces a simplified linear interaction model between two drugs, namely Propofol and Remifentanil, which will be used in a model based predictive control algorithm for (nonlinear) automatic induction and...
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ISBN:
(纸本)9781612848006
This paper introduces a simplified linear interaction model between two drugs, namely Propofol and Remifentanil, which will be used in a model based predictive control algorithm for (nonlinear) automatic induction and regulation of DOA. Depth of anesthesia (DOA) is evaluated by means of the Bispectral index (BIS). The simulation tests are performed on a set of 24 virtually generated realistic patient models. The results are promising and the performance of the controller shows a high-efficiency, optimal dosage of the two drugs in order to achieve the desired BIS reference.
This paper addresses the control design for a nonlinear vessel manoeuvring model. The authors consider a highly nonlinear vessel 4 DOF model. The proposed control algorithm consists of a combination of an iteration te...
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ISBN:
(纸本)9781467357159
This paper addresses the control design for a nonlinear vessel manoeuvring model. The authors consider a highly nonlinear vessel 4 DOF model. The proposed control algorithm consists of a combination of an iteration technique that approximates the original nonlinear model by a sequence of linear time varying (LTV) equations whose solution converge to the solution of the original nonlinear problem and, a lead compensation design in which for each of the iterated linear time varying systems, the controller is optimized at each time on the interval. The control designed for the last iteration is then applied to the original nonlinear problem. Simulations results show good performance of this approximation methodology and accurate tracking for certain manoeuvring cases under the control of the designed lead controller. The main characteristic of the nonlinear system's response are the reduction of the settling time and the elimination of the steady state error and overshoot.
Foreign oil dependence, increased cost of fuel, pollution, global warming are buzz words of today's era. Automobiles have a large impact on increasing energy demand, pollution and related issues. As a consequence,...
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ISBN:
(纸本)9781424445233
Foreign oil dependence, increased cost of fuel, pollution, global warming are buzz words of today's era. Automobiles have a large impact on increasing energy demand, pollution and related issues. As a consequence, many efforts are being concentrated on innovative systems for transportation that could replace petroleum with cleaner fuel, i.e. electricity from the power grid. The use of plug-in hybrid electric vehicles (PHEVs) can become a very important change in this direction, since such vehicles could benefit from the increasing availability of renewable energy. PHEVs requires new control and energy management algorithms, that are crucial for vehicle performance. This paper deals with evaluation of two modes, Electric Vehicle (EV) mode and Blended mode, for plug-in hybrid electric vehicles and their comparison with conventional and hybrid electric vehicle performance. In this paper two PHEV architectures are considered: through road parallel plug-in hybrid and series plug-in hybrid. Similar models have been developed to evaluate vehicle performance for conventional and hybrid architectures. Both PHEV architectures are analyzed with two different modes- EV and Blended;a modified version of ECMS (Equivalent Consumption Minimization Strategy) is used for both algorithms. Various standard as well as custom designed driving cycles are used in this analysis. The paper provides quantitative analysis of the control algorithms to analyze their effects on fuel economy, use of electric energy, cost of operation, etc.;these results are compared with the simulations for hybrid and conventional vehicles. Some important relationships between fuel economy, design architectures and control strategies are shown and can be useful in the design of the optimal control algorithms for PHEVs. As shown in the results, the control problem for PHEVs is not limited to fuel economy but it also involves external factors, such as price of electricity, energy market and regulations, charging ava
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