Temperature control is vital in micro-heaters used in medical devices such as the polymerase chain reaction (PCR). The primary goal is to achieve tight control and a high rate of heating for a portable, low-cost medic...
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ISBN:
(数字)9781665480253
ISBN:
(纸本)9781665480253
Temperature control is vital in micro-heaters used in medical devices such as the polymerase chain reaction (PCR). The primary goal is to achieve tight control and a high rate of heating for a portable, low-cost medical device. Even though the fact that several designs for micro-heaters have been proposed, uniform temperature distribution and the high-speed heating rate remain challenging for micro-heaters. This high speed is achieved by the reduction of the thermal mass. The most common methods for reducing thermal mass or heating time in a device are to establish a highly desired structural design and to select a better heating mechanism with a robust controller. Increasing the thermal mass improves temperature distribution on the heater surface but slows heat transfer. On the other hand, removing the thermal mass makes the controller struggle to provide a high-temperature uniformity distribution on the micro-heater surface. In this study, we provide a design of a cost-effective, high-speed, thin-film micro-heater based on the Joule heating technique. The CoventorWare software tool is used to simulate the temperature distribution of the micro-heater. The heater provides a well-distributed temperature on the heated surface. When a DC voltage of 24 V was applied for 250 s, a maximum temperature of 272 °C was obtained. Besides, the heater's average heating rate is 15 °C/s. The heater is then fabricated with the micro-electromechanical systems (MEMS) technology on a silicon substrate. The transfer function of the heating system is computed. Two controllers are designed to control the temperature of the micro-heater and improve its response. The classical proportional-integral-derivative (PID) controller produces rise time (Tr) of 21.9 s, settling time (Ts) of 73.3 s, and a maximum overshoot (Mp) of 4.8 %. Then by applying a fractional-order proportional-integral-derivative (FOPID) controller, a great enhancement in the system performance is observed, the controller is
This paper presents the development and evaluation of the AirDock system, a novel aerial docking and in-flight battery exchange solution designed to extend the operational flight time of multirotor unmanned aerial veh...
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This paper presents the development and evaluation of the AirDock system, a novel aerial docking and in-flight battery exchange solution designed to extend the operational flight time of multirotor unmanned aerial vehicles (mUAVs). The proposed system enables seamless mid-flight battery replacement through an aerial docking mechanism and a rail-Car-based battery transfer and retrieval system. The AirDock platform utilizes a fully actuated multirotor design, allowing independent control of six degrees of freedom (DoF) motion to maintain a constant attitude during battery exchange operations, facilitating easy docking. In this research, a generalized control allocation algorithm is introduced to manage dynamic shifts in the center of mass (CoM) during inter-modular battery transportation, ensuring safe flight control and mitigating thruster overloading: a critical factor in avoiding flight failure. Both simulations and real-world experiments validate the system’s effectiveness, demonstrating stable aerial docking, reliable in-flight battery exchange performance, and extended flight durations for mission modules. These findings highlight the AirDock system’s potential to overcome the energy limitations of battery-powered UAVs, extending missions across various applications.
This study presents a novel approach to achieve self-balance by employing a proportional integral derivative (PID) control system. Simply put, the innovative design consists of two electric ducted fans (EDF) that prop...
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This work aims to discuss a proposed solution for wave equations that utilize discretization by means of the finite difference method, weighted by a parameter η, with sweeping done according to the time-stepping meth...
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Magnetic actuation of marbles and droplets has been found to have broad applications in magnetic digital microfluidics with promising engineering and biomedical applications like biochemistry, microfluidic systems, ta...
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Introduction: Endotracheal suctioning is a procedure to remove pulmonary secretions, which can lead to complications such as hypoxemia. To minimize this risk, a double-lumen pulmonary secretion suction device was deve...
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This paper introduces a hybrid control strategy that integrates the unique features of natural logarithm sliding mode control (lnSMC) and fuzzy logic systems. The lnSMC control approach ensures that the vibration ampl...
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ISBN:
(数字)9788993215380
ISBN:
(纸本)9798331517939
This paper introduces a hybrid control strategy that integrates the unique features of natural logarithm sliding mode control (lnSMC) and fuzzy logic systems. The lnSMC control approach ensures that the vibration amplitude remains within a bound, as determined by the parameters of the lnSMC switching function. Furthermore, the fuzzy logic system is employed to approximate the nonlinearities and uncertainties inherent in the suspension system components, such as the spring and damper. The stability of the closed-loop system is analyzed using the Lyapunov stability theorem, guaranteeing convergence within a finite time. To validate the effectiveness of the proposed controller, a simulation study was carried out using a quarter-car suspension model, considering the system’s nonlinearities, parameter uncertainties, and various external disturbances. The results indicate that the proposed controller significantly improves ride comfort while maintaining suspension deflection and road holding within critical safety limits.
This paper presents a control strategy applicable to systems operating in dynamically coupled environments for which only low-fidelity models describing the environmental dynamics and system rewards are available. The...
This paper presents a control strategy applicable to systems operating in dynamically coupled environments for which only low-fidelity models describing the environmental dynamics and system rewards are available. The control problem is posed as a two player game wherein the plant and the environment are considered to be agents that seek to maximize their individual reward. Under this paradigm, the control decisions of the plant are then identified using a level-k cognition modeling approach, where historical sensor data is leveraged to augment predictions of the reward maximizing control input. We demonstrate the proposed framework via simulation of a multi-turbine wind farm wherein the objective is to maximize energy production when only low-fidelity models of the wake effect induced by the interactions between upstream turbines and the wind environment are accessible.
The paper intends to outline workspace of a planar parallel mechanism taking into account both: first type and second type of singularities. These questions influence in an important mode, inverse and direct kinematic...
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Physically assistive robots in home environments can enhance the autonomy of individuals with impairments, allowing them to regain the ability to conduct self-care and household tasks. Individuals with physical limita...
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