The paper describes methods for suppressing vibrations of a cantilever beamA piezoelectric Macro Fiber Composite(MFC) embedded on a surface of the beam is used as an actuatorThe performance of P and PD controllers, re...
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The paper describes methods for suppressing vibrations of a cantilever beamA piezoelectric Macro Fiber Composite(MFC) embedded on a surface of the beam is used as an actuatorThe performance of P and PD controllers, resonance filters PPF and SRF, as well as Nonlinear Saturation controllers(NSC) were evaluatedThe results demonstrated that P and NSC controllers were the most effective of these algorithmsThe relevant tests were carried out using a set-up controlled by a DSP board supported by a PC system.
In today's environment where vehicle are gradually spreading to every household, it is extremely important to make vehicle more stable and safe. As an important part of the automotive active safety system, the ele...
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In today's environment where vehicle are gradually spreading to every household, it is extremely important to make vehicle more stable and safe. As an important part of the automotive active safety system, the electronic stability system(ESP) plays an extremely important role in the safety and stability of vehicle. It is also a very important question to choose which method to control more effectively and simply. In order to explore the feasibility of PID control in the vehicle lateral stability algorithm, a joint simulation research of the vehicle model based on Carsim and Simulink was carried out. We first use CarSim to generate a car simulation model and import it into Simulink, then import the two-degree-of-freedom dynamic model of the car into the co-simulation model, and then integrate the PID control algorithm into the co-simulation model. After those procedures we do the co-simulation experiments at speeds of 40km/h and 80km/h. Finally, we confirmed the feasibility of PID control in the vehicle lateral stability algorithm and obtained a strong proof of its control effect.
Much research has been conducted on energy management for memory and disks. Most studies use control algorithms that dynamically transition devices to low power modes after they are idle for a certain threshold period...
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ISBN:
(纸本)9781581138047
Much research has been conducted on energy management for memory and disks. Most studies use control algorithms that dynamically transition devices to low power modes after they are idle for a certain threshold period of time. The control algorithms used in the past have two major limitations. First, they require painstaking, application-dependent manual tuning of their thresholds to achieve energy savings without significantly degrading performance. Second, they do not provide performance guarantees. In one case, they slowed down an application by *** paper addresses these two limitations for both memory and disks, making memory/disk energy-saving schemes practical enough to use in real systems. Specifically, we make three contributions: (1) We propose a technique that provides a performance guarantee for control algorithms. We show that our method works well for all tested cases, even with previously proposed algorithms that are not performance-aware. (2) We propose a new control algorithm, Performance-directed Dynamic (PD), that dynamically adjusts its thresholds periodically, based on available slack and recent workload characteristics. For memory, PD consumes the least energy, when compared to previous hand-tuned algorithms combined with a performance guarantee. However, for disks, PD is too complex and its self-tuning is unable to beat previous hand-tuned algorithms. (3) To improve on PD, we propose a simple, optimization-based, threshold-free control algorithm, Performance-directed Static (PS). PS periodically assigns a static configuration by solving an optimization problem that incorporates information about the available slack and recent traffic variability to different chips/disks. We find that PS is the best or close to the best across all performanceguaranteed disk algorithms, including hand-tuned versions.
In this paper, a modified algorithm based on the gradient descent method is proposed for determining, in real time, the maximum power provided by a PV Array connected to an Hybrid Generation System (HGS). In this syst...
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ISBN:
(纸本)9781467375559
In this paper, a modified algorithm based on the gradient descent method is proposed for determining, in real time, the maximum power provided by a PV Array connected to an Hybrid Generation System (HGS). In this system the PV array is connected to the dc-link of a back-to-back converter to drive a three-phase induction motor from a single-phase power grid. While the PV array operates at its maximum power, the remaining power is drawn or delivered to the power grid according to the load power demands. The proposed algorithm reduces the convergence time period and minimizes the residual error around the Maximum Power Point (MPP) value. The effectiveness of the proposed algorithm is analyzed through simulation results to evaluate its performance under transient and steady-state conditions. Furthermore, its dynamics is compared with the well-known "Perturb and Observe" (P&O) MPPT algorithm.
Feedback-control has been proved to be advantageous in various technical fields and is likely to increase the performance of electrical neural interface devices. The control algorithms in such a device will rely on me...
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Feedback-control has been proved to be advantageous in various technical fields and is likely to increase the performance of electrical neural interface devices. The control algorithms in such a device will rely on metrics of neural activity, thereby necessitating their differentiation from artifacts caused by electrical stimulation. We demonstrate an efficient algorithm for determining the relationship between the electrical stimulus current waveform and the recorded artifact potential, or transfer function. This facilitates online stimulus artifact subtraction and concurrent neural recordings during electrical stimulation. Furthermore, we demonstrate significant changes in this transfer function, in vivo, that occur on time scales of hours and are indicative of changes in the electrical properties of neural tissue. Tracking these variations is paramount for the successful implementation of a feedback-enabled neural control system.
A three-phase induction motor emulator using power electronic converters is introduced in this paper. The emulator is intended to be used in an ultra-wide-area grid transmission network emulator represented by regener...
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ISBN:
(纸本)9781467343541
A three-phase induction motor emulator using power electronic converters is introduced in this paper. The emulator is intended to be used in an ultra-wide-area grid transmission network emulator represented by regenerative converters structure. The load emulator converter is controlled in rectifier mode to behave like the real induction motor load, whose model is described and programmed in the digital controller. This paper discusses specifically about the induction motor dynamic modeling, numerical method used in the controller, and finally experimental result verification of starting up transient.
Adaptive lighting refers to electric lighting sources that automatically adjust their output based on environmental changes, aiming at maximizing comfort, wellbeing and energy efficiency. This presentation provides an...
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Adaptive lighting refers to electric lighting sources that
automatically adjust their output based on environmental changes,
aiming at maximizing comfort, wellbeing and energy efficiency.
This presentation provides an overview of the concept, focusing
on adaptive lighting controls based on sensing occupancy and
daylight. The overview reflects the adaptive lighting research,
development and demonstration efforts of the California Lighting
Technology Center. The adaptive lighting efforts were initiated in
2003 and continue today, having produced significant results and
multiple commercial products. The goal of the efforts is to
maximize electric lighting savings by automatically controlling
electric lighting based on occupancy and daylight. The focus is on
strategies and technologies to improve performance in terms of
reliability and cost-effectiveness for wide-spread use in outdoor
and indoor spaces of new and existing buildings.
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