The multivariable control that was designed for the grinding circuit in the Siilinjärvi concentrator can control important variables like the final particle size and the density of the cyclone feed. The controlle...
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The multivariable control that was designed for the grinding circuit in the Siilinjärvi concentrator can control important variables like the final particle size and the density of the cyclone feed. The controller was designed for the plant using an interactive CACSD software package which included the use of the inverse Nyquist array method. The control algorithms designed were implemented in the process controlcomputer at Siilinjärvi and the correlation between the simulated results and the full scale tests in short term experiments was good. Changes in the setpoint of either of the controlled output variables produced satisfactory responses, while at the same time the other controlled output remained close to the designed constant value. The multivariable controller designed has not yet been taken into continuous use at Siilinjärvi. The large variation of mineral components in the ore has caused difficulties in the operation of the particle size analyser. The potential use of the PSM analyser for on-line control in the Siilinjärvi grinding process is discussed in the paper.
designing controlsystems using multiobjective genetic algorithms can lead to a substantial computational load as a result of the repeated evaluation of the multiple objectives and the population-based nature of the s...
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designing controlsystems using multiobjective genetic algorithms can lead to a substantial computational load as a result of the repeated evaluation of the multiple objectives and the population-based nature of the search. Here, a neural network approach, based on radial basis functions, is introduced to alleviate this problem by providing computationally inexpensive estimates of objective values during the search. A straightforward example demonstrates the utility of the approach.
This paper presents a robust predictive control approach to a benchmark problem involving water level control in the steam generator of a nuclear power reactor. controldesign is performed using a sensitivity function...
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This paper presents a robust predictive control approach to a benchmark problem involving water level control in the steam generator of a nuclear power reactor. controldesign is performed using a sensitivity function shaping procedure which broadly borrows from the robust control culture. Of fundamental interest, the controldesign model is obtained using an experimental identification approach developed from established results in system identification.
In this paper development of a CAD of controlsystems is introduced which enables us to do not only analysis of controlsystems, design of controllers but also real-time implementation of controllers. By utilizing thi...
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In this paper development of a CAD of controlsystems is introduced which enables us to do not only analysis of controlsystems, design of controllers but also real-time implementation of controllers. By utilizing this software, the control engineer is able to repeat the procedure of modification of controllers and experiments without recompile to attain better performance. The software also offers the facility to update the parameters of controllers without stopping real-time control, which helps on-line tuning of controllers. If some parameters of the controller is changed on-line, the control input may change discontinuously. It has serious effect on the controlsystems. A method for on-line tuning of state feedback controller with state observer is proposed and verified through the experiment with an inverted pendulum.
The QFT controldesign Toolbox version 1 (formerly The Quantitative Feedback Theory Toolbox) has been available commercially since 1995 (Borghesani, et al., 1995). The toolbox includes a complete collection of MATLAB ...
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The QFT controldesign Toolbox version 1 (formerly The Quantitative Feedback Theory Toolbox) has been available commercially since 1995 (Borghesani, et al., 1995). The toolbox includes a complete collection of MATLAB functions, compatible with 4.2, for designing single-loop robust feedback systems in the spirit of QFT. Version 1.0.1, essentially unchanged, has been upgraded to work with MATLAB 5. In this paper, we discuss possible upgrades for future versions including generalization to multi-loop setting, automatic loop shaping and implementation of new results that improve efficiency of bound computations.
Abstract A theoretical model for the air intake of a four stroke internal combustion engine is derived from first principles, the conservation of mass and the conservation of energy. Full valve actuation is taken into...
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Abstract A theoretical model for the air intake of a four stroke internal combustion engine is derived from first principles, the conservation of mass and the conservation of energy. Full valve actuation is taken into account: The opening angle of both the intake as well as the exhaust valve, as well as the variable valve lift are considered as plant inputs, which may be manipulated to maximize the air intake rate and hence the power, the engine delivers. The theoretical model is verified by comparing the model output to steady state data collected at an engine test bench. Therefor a formal connection between state-of-the-art mean value models and the crank angle resolved physical model must be established. The pressure loss in the intake valve is considered a disturbance of the ideal cylinder filling dynamics, which is estimated using non-linear optimization techniques. The intended purpose of physical model building for the cylinder air intake is prediction of the air intake rate and computation of optimal valve control action before a lot of effort is put into a real experiment at the engine test bench. A significant reduction of operating time and cost consumed by the real engine test bench can be achieved, if a small subset of steady state measurements are used to compute a meta-model for the pressure loss. The combination of the black-box pressure loss model and the air intake model allows for prediction of the air intake rate at unknown operating points of the engine with sufficient accuracy.
Most of the methods which are used for the analysis and design of systems with parametric uncertainty require extensive computations. Therefore, it is value to develop computer programs which enable one to deal with u...
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Most of the methods which are used for the analysis and design of systems with parametric uncertainty require extensive computations. Therefore, it is value to develop computer programs which enable one to deal with uncertain systems in an easy way. This paper describes a user friendly software package(AISTK-Analysis of Interval systems Toolkit). Algorithms have been developed in the MATLAB environment by using the Kharitonov theorem and related approaches. The objective in developing AISTK was to gather these algorithms under a toolkit and make them easily usable by students or other users.
Hybrid controlsystems are a combination of real-time control law and discrete-state logic. This paper describes how a Development Framework for controlsystems software has been adapted so that it may also handle dis...
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Hybrid controlsystems are a combination of real-time control law and discrete-state logic. This paper describes how a Development Framework for controlsystems software has been adapted so that it may also handle discrete events such as mode switching. The Framework provides a highly automated path from a control engineering specification to a distributed system implementation. Simulink, an extension to Matlab, is used to specify control laws, and a statecharts tool, Statemate, is used to specify and model discrete-state components. The design phase of the Development Framework supports the integration of the two sets of specification. An inverted pendulum controlsystem is introduced as a simple example of a hybrid system implemented using the Framework. The translation of statecharts to dataflow notations is described for the example system. General translation rules are also presented.
This contribution describes a LabVIEW based interactive computeraidedcontrolsystemdesign tool. It offers a set of ready to use solutions of typical controlsystemdesign problems. Instead of a syntax a menu driven...
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This contribution describes a LabVIEW based interactive computeraidedcontrolsystemdesign tool. It offers a set of ready to use solutions of typical controlsystemdesign problems. Instead of a syntax a menu driven user interface with convenient system editors and analysis tools enables the user to interactively attain the design goals. The tool allows the student to efficiently do the controlsystemdesign from plant identification to controller implementation on the same platform.
Abstract This paper develops a computational method for designing a feedback controlsystem where the plant is an uncertain linear time-invariant convolution subsystem with a static memoryless input nonlinearity. The ...
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Abstract This paper develops a computational method for designing a feedback controlsystem where the plant is an uncertain linear time-invariant convolution subsystem with a static memoryless input nonlinearity. The main design objective is to determine a controller ensuring that the error and the controller output are always within respective bounds for all uncertainties and for all inputs having bounded magnitude and slope. First, using Schauder fixed point theorem, we show that (if exists) a design solution for an uncertain linear system obtained by replacing the nonlinearity with a gain and a bounded disturbance is also a solution for the original problem. Then, by extending a known theory and applying it to the so-obtained linear problem, we derive design inequalities that can readily be solved in practice. The usefulness of the developed method is illustrated by a design example of an uncertain heat-conduction process.
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