Automated Drug Delivery (ADD) systems refer to advanced medical technologies and methods designed to transfer pharmaceutical compounds to specific sites within the body in an automated, controlled, precise, and effici...
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Automated Drug Delivery (ADD) systems refer to advanced medical technologies and methods designed to transfer pharmaceutical compounds to specific sites within the body in an automated, controlled, precise, and efficient manner. These systems aim to reduce side effects, prevent over-dosage, and improve patient adherence to treatment regimens; moreover, they bring relaxation to healthcare providers through automated quality assurance. ADD systems have become demanding components in achieving personalized therapy and precision medicine. Technology currently allows to automatically medicate people with portable devices. Drug delivery devices are available, but the sensors need further development and testing to enable safe and more accurate measurements in the future. Exploiting the potential in ADD systems requires the application of control theory. This paper reviews the currently available drug delivery devices and examines how our existing control algorithms may enhance a wearable system. We discuss algorithms for both impulsive therapy and continuous therapy, covering the possible applications.
The Process Environment Toolbox for MATLAB/SIMULINK has been created to make laboratory experiments with real time control algorithms very easy. The main goal was to augment MATLAB/SIMULINK in such a way that makes it...
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The Process Environment Toolbox for MATLAB/SIMULINK has been created to make laboratory experiments with real time control algorithms very easy. The main goal was to augment MATLAB/SIMULINK in such a way that makes it possible to perform control system design and simulations and control experiments with real word plants within the same program. The application of the toolbox to the stabilization of an inverted pendulum by a special type of fuzzy controller is presented.
This work analyzes various configurations for the control of a recently developed compact oil-water separation process for offshore production platforms consisting of a gravity separator and a sequence of three module...
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This work analyzes various configurations for the control of a recently developed compact oil-water separation process for offshore production platforms consisting of a gravity separator and a sequence of three modules of hydrocyclones. Three different control algorithms were compared for interface level control in the separator: proportional and integral, band and linear model predictive control. These algorithms were combined with a classical differential pressure ratio (DPR) control for the modules of hydrocyclones. Results have shown that band control is a promising approach for the interface level and that the DPR control is better if only used in the last module of the sequence of hydrocyclones.
In this paper a PC-based programmable controller is presented. A new assembler-like programming language is also presented, but since the controller is a SoftPLC it is possible to implement even very complicated contr...
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In this paper a PC-based programmable controller is presented. A new assembler-like programming language is also presented, but since the controller is a SoftPLC it is possible to implement even very complicated control algorithms and functions. Moreover, plugins are introduced that allow the dynamical loading of needed control algorithms and assure that the control loops will be executed independently of the program execution. In addition TCP/IP protocol is used by the controller to communicate with the plant. A general architecture is presented along with examples of simple instructions. The controller is realised as an application realised in a LabView environment for running on a PC computer. An example program is presented for time-optimal control of clearing process in batch sedimentation.
This paper is concerned with the control of a prismatic joint using a high performance industrial microcontroller, designed and bilt for low cost applications. A modular system with its intrinsic advantages was implem...
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This paper is concerned with the control of a prismatic joint using a high performance industrial microcontroller, designed and bilt for low cost applications. A modular system with its intrinsic advantages was implemented consisting of a main, an analog I/O, a pulse-width modulator and a power drive boards. The robot prismatic joint is driven by a DC servomotor coupled to a shaft encoder, which provides directly data for calculating position, velocity and acceleration. The software controls all the key parameters such as feedback gain, response rate and motor safe area operating limits. A distributed architecture is proposed with a master 16 bit processor transformation of coordinates and to give directions to each individual axis.
A control system model of ocular accommodation has been developed to include the effects of target proximity. The model includes the novel feature of a fuzzy logic controller to provide a simple yet realistic approach...
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A control system model of ocular accommodation has been developed to include the effects of target proximity. The model includes the novel feature of a fuzzy logic controller to provide a simple yet realistic approach in dealing with non-optical stimuli such as proximity. The results of model simulations under open loop conditions compare favouraoly with previous published experimental results. In addition, closed loop model simulations are in agreement with experimental results.
Active magnetic bearings are implemented using analog and digital controllers to achieve vibration reduction for multimass flexible rotors. Various models are developed for the rotor-bearing system, and the first thre...
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Active magnetic bearings are implemented using analog and digital controllers to achieve vibration reduction for multimass flexible rotors. Various models are developed for the rotor-bearing system, and the first three critical speeds (resonant frequencies) are shown to be unaffected by inclusion of the higher order shaft dynamics in the model. Higher order rotor-bearing models reveal the presence of "shaft modes," the excitation of which is a function of the position of the magnetic bearing proximity probe (these modes are effectively damped by the flexible coupling employed in the test apparatus). Rotor dynamic behavior is investigated for various analog and digital controllers. Rotor response in the presence of proportional-derivative control is similar for both analog and digital control. Higher order digital control algorithms (second derivative and integral) affect the rotor response in a frequency dependent manner: Second derivative feedback is effective at reducing third mode vibration, and integral feedback, while rejecting any steady-state rotor position error, slightly accentuates the vibration at the first critical speed. Increasing the sampling rate of the digital controller has a similar effect to increasing the amount of second derivative feedback employed.
Over the past decade, an intense effort has brought together theoretical and laboratory tools for controlling molecular motion with tailored laser pulses. Various means for designing laser pulses are available, but pr...
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Over the past decade, an intense effort has brought together theoretical and laboratory tools for controlling molecular motion with tailored laser pulses. Various means for designing laser pulses are available, but presently, the most viable general procedure for achieving successful control over quantum systems in the laboratory is through the use of closed loop learning algorithms. The logic behind the operation of such algorithms is discussed, along with a summary of several recent laboratory achievements exploiting closed loop learning to control quantum and nonlinear optical phenomena.
The intelligent assembly or disassembly concept integrates the control and the planning of an automated material handling system based on a set of mobile robots. This work presents and analyses some results in path tr...
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The intelligent assembly or disassembly concept integrates the control and the planning of an automated material handling system based on a set of mobile robots. This work presents and analyses some results in path tracking control on complex plane trajectories for a differential wheeled mobile robot with memorized trajectories. For the same model of the robot, the control uses alternatively two different algorithms. The first one is a bang-bang algorithm and the second is a classical solution in path tracking control.
Establishing a persistent presence in the ocean with an AUV to observe temporal variability of large-scale ocean processes requires a unique sensor platform. In this paper, we propose a strategy that utilizes ocean mo...
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Establishing a persistent presence in the ocean with an AUV to observe temporal variability of large-scale ocean processes requires a unique sensor platform. In this paper, we propose a strategy that utilizes ocean model predictions to increase the autonomy and control of Lagrangian or profiling floats for precisely this purpose. An A * planner is applied to a local controllability map generated from predictions of ocean currents to compute a path between prescribed waypoints that has the highest likelihood of successful execution. The control to follow the planned path is computed by use of a model predictive controller. This controller is designed to select the best depth for the vehicle to exploit ambient currents to reach the goal waypoint. Mission constraints are employed to simulate a practical data collection mission. Results are presented in simulation for a mission off the coast of Los Angeles, CA USA, and show surprising results in the ability of a Lagrangian float to reach a desired location.
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