The application of a nonlinear predictive controller in the cascade control structure of a boost converter is investigated. The neuro-predictive controller is realized as a nonlinear optimizer, using the Levenberg-Mar...
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The application of a nonlinear predictive controller in the cascade control structure of a boost converter is investigated. The neuro-predictive controller is realized as a nonlinear optimizer, using the Levenberg-Marquardt unconstrained optimization procedure. For the prediction of future process responses, two MLP neural networks are used. One network is used for modeling the converter dynamics and the other for online estimation of the converter's input voltage. This structure ensures good system performance in all operating regions and inherent compensation of ripples in the converter's input current caused by variations of the input voltage. The advantages of the proposed control structure are demonstrated through experimental comparison with a linear GPC with manually adjusted feedforward compensator.
The authors present a self-tuning PID adaptive speed controller for AC motor speed regulation with a very low computational algorithm. The traditional industrial solution to obtain acceptable characteristics for track...
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ISBN:
(纸本)0780366069
The authors present a self-tuning PID adaptive speed controller for AC motor speed regulation with a very low computational algorithm. The traditional industrial solution to obtain acceptable characteristics for tracking and process regulation consists to find a compromise point for both two situations, or in advanced regulators, to adopt a simple two degrees of freedom PID control, whose parameters are fixed by auto-tuning. But when plant parameters vary strongly this auto-tuning algorithm have to be continuously started. In those cases, this work proposes a single self-tuning PID control method with a simple adaptation mechanism. The controller is based in a novel fuzzy adaptation method that changes the parameters of an standard PID controller, concretely integral constant K/sub I/, for adapting it to the plant evolution according to the dynamics of the system. This fuzzy logic adaptive strategy has been readily implemented, with very fast learning features and very good tracking characteristics. The developed controller has been also compared with other classical controls, and experimental results demonstrate the robustness of the suggested algorithm in contending with varying load and torque disturbance.
Recycling of material and or energy in chemical plants imposes a feedback mechanism which is known to move the poles of the plant. In this paper the effect of recycling on the zero dynamics is considered, and it is sh...
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Recycling of material and or energy in chemical plants imposes a feedback mechanism which is known to move the poles of the plant. In this paper the effect of recycling on the zero dynamics is considered, and it is shown that the feedback effect imposed by recycling also may move the zeros of control relevant transfer-functions. Sufficient conditions for the existence of non-minimum phase transmission zeros caused by the presence of recycling are derived. The conditions may be evaluated based on steady-state information about the individual units only, and are hence particularly well suited for incorporation in a process design environ ment. The derived results are illustrated through application to the design of a reactor-separator system. (C) 1999 Elsevier Science Ltd. All rights reserved.
The high computation and visualization power now available at the control engineer's desk opens the perspective of embedding CACSD Technology into a Virtual Engineering environment. This enables concurrent interac...
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The high computation and visualization power now available at the control engineer's desk opens the perspective of embedding CACSD Technology into a Virtual Engineering environment. This enables concurrent interaction of control engineering with multidisciplinary high-fidelity system dynamics modeling, and supports a fundamental change of the conventional control design tuning process in a computation framework of fast nonlinear simulation, automatic search for feasible solutions, and interactive multiobjective optimization to trade-off conflicting design requirements. Such an environment promotes active decision support to foster the control engineer's role as the prime decision maker in system dynamics design.
The simultaneous design of the steady-state and dynamic performance of a process has the ability to satisfy much more demanding dynamic performance criteria than the design of dynamics only by the connection of a cont...
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The simultaneous design of the steady-state and dynamic performance of a process has the ability to satisfy much more demanding dynamic performance criteria than the design of dynamics only by the connection of a control system. A method for designing processdynamics based on the use of a linearised systems' eigenvalues has been developed. The eigenvalues are associated with system states using the unit perturbation spectral resolution (UPSR), characterising the dynamics of each state. The design method uses a homotopy approach to determine a final design which satisfies both steady-state and dynamic performance criteria. A highly interacting single stage forced circulation evaporator system, including control loops, was designed by this method with the goal of reducing the time taken for the liquid composition to reach steady-state. Initially the system was successfully redesigned to speed up the eigenvalue associated with the liquid composition state, but this did not result in an improved startup performance. Further analysis showed that the integral action of the composition controller was the source of the limiting eigenvalue. Design changes made to speed up this eigenvalue did result in an improved startup performance. The proposed approach provides a structured way to address the design-control interface, giving significant insight into the dynamic behaviour of the system such that a systematic design or redesign of an existing system can be undertaken with confidence.
Repetitive, or multipass, processes are a class of 2D systems of both practical and algorithmic/theoretical interest whose dynamics cannot be analysed or controlled using standard (1D) systems theory. Recently it has ...
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Safety-critical software development is a field of active growth and research. Many of the emerging software standards and guidelines used by industries are placing increased emphasis on safety and reliability. This a...
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Safety-critical software development is a field of active growth and research. Many of the emerging software standards and guidelines used by industries are placing increased emphasis on safety and reliability. This article discusses safety-critical software development practices and identifies characteristics needed for tools used in this process, including those used for automated coding and unit testing.
In this paper, we propose a method to give models of complex systems for controller design by using numerical simulators. We apply this method to a two-dimensional region simulator for blast furnace and show a process...
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In this paper, we propose a method to give models of complex systems for controller design by using numerical simulators. We apply this method to a two-dimensional region simulator for blast furnace and show a process of leading a model for control. Furthermore we compare the dynamics of the model with the simulator and analyze the performance of this method.
A new approach to the interaction control of systems with unknown dynamics has been developed by combining Natural Admittance control (NAC) with Time Delay control (TDC). The proposed nonlinear controller does not req...
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A new approach to the interaction control of systems with unknown dynamics has been developed by combining Natural Admittance control (NAC) with Time Delay control (TDC). The proposed nonlinear controller does not require specific knowledge of the system's dynamics or the environment nor does it necessitate the estimation of system parameters, except inertia, rendering it easy to implement. It rejects unmodeled dynamics, nonlinearities and disturbances without difficult characterization process while preserving the desired dynamics. The simulation results demonstrate not only good external disturbance rejection, robustness to parameter changes and insensitivity to noise, but also demonstrate good trajectory following providing good rejection of internal Coulomb friction. This novel control technique is also used to develop a nonlinear bang-bang impact controller (NBBIC) for stabilization of a robot manipulator upon collision with a stiff environment. It uses the above-mentioned NAC/TDC control algorithm with negative force feedback to absorb impact forces and stabilize the system. This control input alternates with zero when no environment force is sensed due to loss of contact. This alternation of control action repeats until the impact transient subsides and steady state is established. After impact transient, proportional-derivative force control is used. It is shown via simulations that NBBIC provides stable interaction between the robot with severe nonlinear joint friction and a stiff environment and achieves rapid response while minimizing force overshoots.
Predefined optimal policies will be tracked with controlsystems to realize the optimum of multiple-fraction batch distillation. Adaptive control is proposed to carry out this task. Characteristics of batch distillati...
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Predefined optimal policies will be tracked with controlsystems to realize the optimum of multiple-fraction batch distillation. Adaptive control is proposed to carry out this task. Characteristics of batch distillation control are analyzed and a proper system is designed for controlling such processes. Besides tracking the optimal reflux ratio profile, the maximum vapor load will be maintained during the batch. In addition, a changing temperature profile of the condenser should be followed to reduce the operating energy with a possibly minimum subcooling. Recursive least square estimation (RLSE) with a variable forgetting factor is applied to the on-line identification of the plant to follow the changing dynamics of the process. Generalized predictive control (GPC) is used to track the predefined policies. The effectiveness of the control strategy is verified with a pilot batch column and the tracking performance is compared with that of PID controllers.
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