The WirelessHART standard has been specifically designed for real-time communication between sensor and actuator devices for industrial process monitoring and control. End-to-end communication delay analysis for Wirel...
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ISBN:
(纸本)9780769543444
The WirelessHART standard has been specifically designed for real-time communication between sensor and actuator devices for industrial process monitoring and control. End-to-end communication delay analysis for WirelessHART networks is required for acceptance test of real-time data flows from sensors to actuators and for workload adjustment in response to network dynamics. In this paper, we map the scheduling of real-time periodic data flows in a WirelessHART network to real-time multiprocessor scheduling. We, then, exploit the response time analysis for multiprocessor scheduling and propose a novel method for the end-to-end delay analysis of the real-time flows that are scheduled using a fixed priority scheduling policy in a WirelessHART network. Simulations based on both random topologies and real network topologies of a physical testbed demonstrate the efficacy of our end-to-end delay analysis in terms of acceptance ratio under various fixed priority scheduling policies.
This paper concerns the design, implementation, and nonlinear velocity-tracking control of a novel magnetic-levitation (maglev) system for magnetically levitated trains. The proposed system uses only one tubular linea...
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This paper concerns the design, implementation, and nonlinear velocity-tracking control of a novel magnetic-levitation (maglev) system for magnetically levitated trains. The proposed system uses only one tubular linear induction motor to produce three forces required in a maglev system: propulsion, levitation, and guidance. Classical maglev systems, on the other hand, contain a separate force-generating system to build each of these three forces. Another benefit that the proposed system offers is that there is no need to control the guidance, and particularly, the levitation forces, one of the most challenging tasks in maglev systems. The system always centers the moving part during operation and eliminates the necessity for control of the levitation and guidance forces. However, the propulsion force strongly requires some control efforts because a linear induction motor has nonlinear system dynamics. This paper gives a condensed design guideline based on the mature theory of electromagnetic launchers, particularly the linear induction launcher type. It explains the implementation process, shows experimental test results, and finally, presents a nonlinear partial state-feedback controller for the proposed system.
In managed pressure drilling, there are two main challenges involved. First, the bottomhole pressure and flow rate to be controlled is updated at a low rate, which can be viewed as unmeasured. Second, the drilling pro...
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ISBN:
(纸本)9781457711039
In managed pressure drilling, there are two main challenges involved. First, the bottomhole pressure and flow rate to be controlled is updated at a low rate, which can be viewed as unmeasured. Second, the drilling process is subject to unknown parameters (e. g., frictions, densities), unmodeled dynamics and noise. To deal with these issues, this paper presents an integrated fast estimation and L-1 adaptive control scheme. The estimator provides fast estimation of the bottomhole pressure based on the available measurements. The L-1 adaptive controller drives the pressure to the desired value following a reference model. The design is based on a recently developed nonlinear drilling model. The results demonstrate that the L-1 adaptive controller has guaranteed performance bounds for both the input and the output signals of the system while using the estimation of the regulated outputs. Simulations that include different operational conditions verify the theoretical findings.
Model predictive control technology can now be found widely in a variety of applications including petroleum, chemical and papermaking industries. An approach is proposed to decide a benchmark and monitor model predic...
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A new control performance assessment method based on a structured residual for multi-stage batch processes is presented. After separating the process into different stages according to reference signal dynamics, based...
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This paper presents a Linear Quadratic Regulator (LQR) employed to improve performance of an Electric Power Steering (EPS) system. Generally, EPS is a full electric system having an electric motor which provides the a...
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A molten carbonate fuel cell (MCFC) system is modeled and a control strategy is proposed. A spatially distributed two-dimensional dynamic model of single cell direct internal reforming MCFC was developed as a numerica...
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This paper presents a novel control methodology for the tracking control of a high-order continuous time nonlinear systems with unknown dynamics and external disturbance. The control signal consists of the robust inte...
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This paper presents a novel control methodology for the tracking control of a high-order continuous time nonlinear systems with unknown dynamics and external disturbance. The control signal consists of the robust integral of the sign of the error (RISE) feedback signal multiplied with an adaptive gain plus neural network (NN) output. The two-layer NN learns the system dynamics in an online manner while residual reconstruction errors and the external bounded system disturbances are overcome by the RISE signal. Semi-global asymptotic tracking performance is theoretically guaranteed by using the Lyapunov standard method, while the NN weights and all other signals are shown to be bounded. Further, simulations results are present to illustrate the control performance.
This paper mentions the integrated design strategy and processcontrol system, describing the problems in each stage associated with this design strategy, when applied to a spray drying tower for natural dyes. Initial...
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This paper mentions the integrated design strategy and processcontrol system, describing the problems in each stage associated with this design strategy, when applied to a spray drying tower for natural dyes. Initially, part of a phenomenological based semiphysical model of concentrated parameters, which describes the main dynamic process and has been validated in another work. Then, the control pairing is established to proceed with controllability analysis using Lie Algebra's. Once, the regions of controllability of the process are established, a PID controller is tuned. Finally the model is simulated in an open loop and a closed loop to show the advantages of simultaneous design approach.
A new control performance assessment method based on a structured residual for multi-stage batch processes is presented. After separating the process into different stages according to reference signal dynamics, based...
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A new control performance assessment method based on a structured residual for multi-stage batch processes is presented. After separating the process into different stages according to reference signal dynamics, based on specific tracking and regulatory requirements of different stage, a structured residual focusing on deterministic part of output error with different weights on each stage is minimized to form the performance benchmark. In this way, it explores the equilibrium control effect in tracking and regulatory stages of batch processes in the whole batch sense. The best control performance with respect to stage balance and the overall optimal controller settings are searched using Newton's method. The application to an exothermic chemical batch reactor shows its effectiveness and feasibility.
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