The packing system performs an operation of choosing a subset I ' from the set of I of the current n items to produce a package of foods. By repeating the packing operation, it produces a large number of packages ...
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The packing system performs an operation of choosing a subset I ' from the set of I of the current n items to produce a package of foods. By repeating the packing operation, it produces a large number of packages one by one. The primary objective is to choose a subset I so that the total weight of chosen items is as close to a specified target weight T as possible. We additionally try to maximise the total priority of chosen items as the second objective so that items with longer durations in hoppers are preferably chosen. We show that the combinatorial food packing problem can be solved in O(nT) time if all input data are integral.
A control algorithm for the problem of formation flying for autonomous underwater vehicles is presented. Using a restrictive communication scheme and LQ optimal control, the control algorithm respects the limitations ...
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ISBN:
(纸本)9781612848006
A control algorithm for the problem of formation flying for autonomous underwater vehicles is presented. Using a restrictive communication scheme and LQ optimal control, the control algorithm respects the limitations of underwater communication and on-board computing power. The influence of restricting communications on the performance of the control algorithm is illustrated by a simulation.
With the fast development of wide area measurements, communication techniques and dynamic security assessment (DSA) tools in power systems, dynamics based stability control strategies are attracting more and more rese...
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ISBN:
(纸本)9781457710001
With the fast development of wide area measurements, communication techniques and dynamic security assessment (DSA) tools in power systems, dynamics based stability control strategies are attracting more and more research attentions as an effect way to handle complicated control objectives and improve control accuracy. However, due to its heavily relying on the time domain simulation, the computation burden of these dynamic based methods has also been greatly increased. On the other hand, static methods, which have been developed for years based on simplifications of the dynamic systems, are constantly appreciated by industries for their maturity, fast computation time and practical for online applications. In this paper, in order to improve the accuracy of static voltage stability control algorithms, the rules of simplifying a generator reactive power limitation, which is one of the most important contributing factors for voltage collapses, has been reviewed. A refined static model is proposed based on considering this limitation characteristics in a dynamic control framework. The static voltage stability control is computed by iteratively applying an optimal multiplier method. It shows that this method only add a small amount of computation burden compared to the original static method, while it can improve the control performance significantly during a dynamic process. An example voltage collapse is discussed to illustrate the algorithm and provide comparisons.
Models of dynamical systems become increasingly complex. While this allows a more accurate description of the underlying process, it often renders the application of model-based control algorithms infeasible. In this ...
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ISBN:
(纸本)9781612848006
Models of dynamical systems become increasingly complex. While this allows a more accurate description of the underlying process, it often renders the application of model-based control algorithms infeasible. In this paper, we propose a model reduction procedure for systems described by nonlinear ordinary differential equations. The reduced model used to approximate the input-output map of the system is parameterized via the observability normal form. To preserve the steady states of the system and their stability properties, the set of feasible parameters of the reduced model has to be constrained. Therefore, we derive necessary and sufficient conditions for simultaneous exponential stability of a set of steady states of the nonlinear reduced model. The local approximation of these constraints results in a sequential convex program for computing the optimal parameters. The proposed approach is evaluated using the Fermi-Pasta-Ulam model.
This paper reports the design, analysis, evaluation and characterization of closed-loop clean renewable power generation systems. For the aforementioned multi-input/multi-output systems, we design proportional-integra...
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ISBN:
(纸本)9781612848006
This paper reports the design, analysis, evaluation and characterization of closed-loop clean renewable power generation systems. For the aforementioned multi-input/multi-output systems, we design proportional-integral and soft-switching sliding mode control laws to guarantee: (1) Efficient mechanical-to-electrical, electrical-to-electrical and electrical-to-chemical energy conversions;(2) Enabling wind-or hydro-energy harvesting capabilities;(3) Optimal dynamics, robustness and stability. The prototypes of portable high-energy-density power systems were tested, characterized and evaluated. We advanced energy sources, enabled electric machinery, and improved power electronics solutions. Linear and nonlinear control algorithms were designed, implemented, and verified. The developed closed-loop clean power generation systems were tested in enhanced operating envelopes. These scalable systems can be used as mini-scale, light- and medium-duty auxiliary, portable and self-sustained power systems in various applications, such as, aerospace, automotive, biotechnology, biomedical, communication, marine, robotics, etc.
People with ASD (Autism Spectrum Disorders) have difficulty in managing interpersonal relationships and common life social situations. A modular platform for Human Robot Interaction and Human Machine Interaction studi...
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ISBN:
(纸本)9781424441211
People with ASD (Autism Spectrum Disorders) have difficulty in managing interpersonal relationships and common life social situations. A modular platform for Human Robot Interaction and Human Machine Interaction studies has been developed to manage and analyze therapeutic sessions in which subjects are driven by a psychologist through simulated social scenarios. This innovative therapeutic approach uses a humanoid robot called FACE capable of expressing and conveying emotions and empathy. Using FACE as a social interlocutor the psychologist can emulate real life scenarios where the emotional state of the interlocutor is adaptively adjusted through a semi closed loop control algorithm which uses the ASD subject's inferred "affective" state as input. Preliminary results demonstrate that the platform is well accepted by ASDs and can be consequently used as novel therapy for social skills training.
The Compact Linear Collider (CLIC) study is exploring the scheme for an electron-positron collider with high luminosity (10~(34) - 10~(35) cm~(-2)s~(-1)) and a nominal centre-of-mass energy of 3 TeV: CLIC would comple...
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ISBN:
(纸本)9781457706295;9781457706318
The Compact Linear Collider (CLIC) study is exploring the scheme for an electron-positron collider with high luminosity (10~(34) - 10~(35) cm~(-2)s~(-1)) and a nominal centre-of-mass energy of 3 TeV: CLIC would complement LHC physics in the multi-TeV range. The CLIC design relies on the presence of Pre-Damping Rings (PDR) and Damping Rings (DR) to achieve the very low emittance, through synchrotron radiation, needed for the luminosity requirements of CLIC. To limit the beam emittance blow-up due to oscillations, the pulse power modulators for the DR kickers must provide extremely flat, high-voltage, pulses: specifications call for a 160 ns duration flattop of 12.5 kV, 250 A, with a combined ripple and droop of not more than ±0.02%. In order to meet these demanding specifications, a combination of broadband impedance matching, optimized electrical layout and advanced control techniques is required. A solid-state modulator, the inductive adder, is the most promising approach to meeting the specifications;this topology allows the use of both digital and analogue modulation. To effectively use modulation to achieve such low ripple and droop requires an in-depth knowledge of the behaviour of the solid-state switching components and their gate drivers, as well as a through understanding of the overall circuit dynamics. Hence, circuit simulation tools have been employed to study the proposed inductive adder and various control schemes. This paper describes the initial design of the inductive adder and the use of active-filtering control algorithms for achieving the required pulse waveform.
The paper presents a novel method of profiling the phase currents to minimize the torque ripple of a switched reluctance machine (SRM). The method is a combination of machine design and control algorithm. The minimiza...
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ISBN:
(纸本)9781457705427;9781457705410
The paper presents a novel method of profiling the phase currents to minimize the torque ripple of a switched reluctance machine (SRM). The method is a combination of machine design and control algorithm. The minimization is accomplished through three steps. The first step is to design a machine which has symmetric torque characteristics with a maximum flat portion. The second step is to find the required current profile through simulation. The third step is fine tuning the profile through coupled simulation of the machine in the finite element and the dynamic controller in the Matlab/Simulink environments. The coupled simulation takes into consideration of the nonlinearities, electrical loss, magnetic loss, and mutual coupling.
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