The applications presented in this paper are oriented towards the study of the possibilities to apply adaptive algorithms to a model based EPSAC (Extended Prediction Self-Adaptive control) scheme for control of depth ...
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ISBN:
(纸本)9781467307024
The applications presented in this paper are oriented towards the study of the possibilities to apply adaptive algorithms to a model based EPSAC (Extended Prediction Self-Adaptive control) scheme for control of depth of anesthesia (DOA). The input variable is Propofol, an anesthetic substance used for both induction and maintenance control of DOA which is evaluated by means of the Bispectral index (BIS). An adaptive control algorithm based on an indirect adaptive predictive method is used. The unknown model parameters are estimated by recursive least square algorithm. The simulation tests performed on virtually generated models for a set of 12 patients show a fast response, optimal dosage and robustness of the algorithm regarding the control of the desired BIS setpoint during induction and maintainance phase.
A digital-analog hybrid control method is proposed to improve the performance of traditional analog adaptive interference cancellation system (AICS). The system model with digital proportion control was built. The sta...
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It is well known that automatic control of any process implies continuous or infrequent monitoring process parameters. At the ore dressing mills and metallurgical plants, such parameters may include composition of fee...
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ISBN:
(纸本)9781509013227
It is well known that automatic control of any process implies continuous or infrequent monitoring process parameters. At the ore dressing mills and metallurgical plants, such parameters may include composition of feedstock, fluxes, reagents, intermediate products, final tailings and wastewater. Usually, this information is supplied by the automated analytical monitoring system (AAMS), in which the main component is the automated sub-system for sampling and representative test sample transportation. This paper is dedicated to current issues regarding optimization of the microprocessor-based control system by the use of robotic mechanisms and devices in the pneumatic test sample capsule transportation facility and computer-aided modelling. The article describes a functional scheme of the pneumatic conveying system. Here, control signals are optimized, the algorithms and schemes of universal microprocessor of controlled system are outlined.
Many workflow applications have time constraints. The serving time of the servers and the arrival intervals of users' service requests in a workflow are often stochastic. From the statistic angle, we can fmd a tin...
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ISBN:
(纸本)0780394836
Many workflow applications have time constraints. The serving time of the servers and the arrival intervals of users' service requests in a workflow are often stochastic. From the statistic angle, we can fmd a tiny proportion of service requests will be executed beyond the deadline in any case. Thus people can only require an acceptable proportion of service requests to be finished within the deadline normally. We try to determine its probability density function at a workflow network so that we will know the accurate proportion of requests that can be executed without delay. We also present a method to improve the proportion of the undelayed with the lowest additional cost. An experiment illustrates our method can be effectively utilized in practice.
Industry 4.0 is the German vision for the future of manufacturing, where smart factories use information and communication technologies to digitise their processes to achieve improved quality, lower costs, and increas...
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ISBN:
(纸本)9781509065059
Industry 4.0 is the German vision for the future of manufacturing, where smart factories use information and communication technologies to digitise their processes to achieve improved quality, lower costs, and increased efficiency. It is likely to bring a massive change to the way control systems function today. Future distributed control systems are expected to have an increased connectivity to the Internet, in order to capitalize on new offers and research findings related to digitalization, such as cloud, big data, and machine learning. A key technology in the realization of distributed control systems is middleware, which is usually described as a reusable software layer between operating system and distributed applications. Various middleware technologies have been proposed to facilitate communication in industrial control systems and hide the heterogeneity amongst the subsystems, such as OPC UA, DDS, and RT-CORBA. These technologies can significantly simplify the system design and integration of devices despite their heterogeneity. However, each of these technologies has its own characteristics that may work better for particular applications. Selection of the best middleware for a specific application is a critical issue for system designers. In this paper, we conduct a survey on available standard middleware technologies, including OPC UA, DDS, and RT-CORBA, and show new trends for different industrial domains.
To improve the efficiency of photovoltaic grid-connected system, photovoltaic grid-connected inverter has been designed based on two stages of topology structure. High-frequency and push-pull forward converter is adop...
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The need for control strategies that can address dynamic system uncertainty is becoming increasingly important. In this work, we propose a Model Predictive control for quantifying the risk of failure in our system mod...
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In order to solve the problem that a large amount of distributed power supply cannot provide enough inertia and damping for the system in microgrid, virtual synchronous generator (VSG) has been widely concerned. Howev...
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ISBN:
(纸本)9781728177199
In order to solve the problem that a large amount of distributed power supply cannot provide enough inertia and damping for the system in microgrid, virtual synchronous generator (VSG) has been widely concerned. However, existing methods combine virtual synchronous generator with classical PI control. When the voltage deviation reaches the margin value set, it still needs a certain "desaturation" time, that is, switching time. At this time, the DC voltage of the system is out of control, resulting in a large voltage fluctuation, which reduces the stability of the system. In order to solve this problem, this paper firstly analyzes the principle of virtual synchronous generator and the traditional PI control method. Then a voltage control method based on virtual synchronous generator is proposed to control the DC voltage and stabilize it in the preset voltage range. Finally, the simulation model built in PSCAD/EMTDC is used to verify the correctness of the theoretical analysis.
This paper describes a method for rapidly optimizing the uniformity of thin films deposited or grown on semiconductor wafers in batch thermal reactors. The method allows process recipes to be automatically optimized i...
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This paper describes a method for rapidly optimizing the uniformity of thin films deposited or grown on semiconductor wafers in batch thermal reactors. The method allows process recipes to be automatically optimized in as few as two process runs. Challenges associated with optimizing process recipes to yield uniform final film thickness on all wafers processed in each batch are presented, and the uniformity problem is formulated as a run-to-run control problem. A solution to this problem is presented that includes a run-to-run process model, an estimator, and a controller. This solution has been implemented in a software package that is used by engineers in the field to optimize process recipes. Measured results are presented from the optimization of two different process recipes.
Based on a nonlinear model of induction motor containing both electrical and mechanical dynamics, an combined field orientation and adaptive backstepping approach is proposed in this paper for the control of induction...
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Based on a nonlinear model of induction motor containing both electrical and mechanical dynamics, an combined field orientation and adaptive backstepping approach is proposed in this paper for the control of induction motors. Rotor angular speed and rotor flux amplitude tracking objectives are formulated so that the speed regulation is achieved with the consideration of improving power efficiency. Parameter uncertainties of the rotor resistance and load torque disturbance are compensated using adaptive control techniques. Simulation results are provided to demonstrate the effectiveness of the proposed approach.
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