In the food industry, automatic control of quality parameters is limited by the availability of sensors for such parameters. For fresh cheese production the installation of NIR (near infrared) sensors opens the path f...
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In the food industry, automatic control of quality parameters is limited by the availability of sensors for such parameters. For fresh cheese production the installation of NIR (near infrared) sensors opens the path for the design of automatic control schemes for dry matter and protein content. This paper describes a design procedure for such control schemes, including design and identification of process models and simulation of different control schemes, and presents results for an industrial dry matter control application on an industrial fresh cheese production line.
An improved method is developed for systems with dominant disturbance rejection boundaries which eliminates the need to redefine the plant throughout the design. This has been possible as a result of the development o...
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An improved method is developed for systems with dominant disturbance rejection boundaries which eliminates the need to redefine the plant throughout the design. This has been possible as a result of the development of a MIMO QFt toolbox in Matlab. The Toolbox has been used to solve a variety of problems including the control of lateral stability of the C-135 aircraft. This is used as an example to demonstrate the improved method compared with the more usual approach to MIMO design using QFT.
This paper reviews the status of mineral processing simulators and recent progress in simulator development and application is discussed. The simulation for process design and optimisation is now an established techni...
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This paper reviews the status of mineral processing simulators and recent progress in simulator development and application is discussed. The simulation for process design and optimisation is now an established technique, as evidenced by its increasing use of practising engineers through commercially available simulator software. The paper presents a systematic approach to the process study procedure for the controlsystem development, clarified by practical case examples calculated by SimCon - a novel steady-state simulator for mineral processes. Examples of the application of SimCon in drawing flowsheets, calculating mass balances and making simulations for grinding and flotation processes are presented. At the end of the paper, the state-of-the-art and the future of computer-aided process study at mineral processing plants is discussed.
Fuzzy controllers can be implemented by standard hardware, dedicated micro controller or application specific circuits. The basic fuzzy controller architecture can use one or more arithmetic and logical units (ALU). A...
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Fuzzy controllers can be implemented by standard hardware, dedicated micro controller or application specific circuits. The basic fuzzy controller architecture can use one or more arithmetic and logical units (ALU). ALUs execute the following operations: fuzzyfication, defuzzyfication, lattice and arithmetic functions. The generator includes several tools that allows to translate the initial problem specification to a specific circuit implementation. From the rule based specification the generator produces a fIrst computing scheme. By applying various transformations (lattice and arithmetic operation minimization, optimal register assignation, …) the system produces the microprogram that drives the controller. For this purpose, the VHDL language is used to simulate the hardware controller, and the ES2 design kit is used to design the circuits to be integrated.
A general purpose computer aided control system design package called SIMART has been developed from the available control theory. It can be used as a learning basis for advanced control as well as a control engineeri...
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A general purpose computer aided control system design package called SIMART has been developed from the available control theory. It can be used as a learning basis for advanced control as well as a control engineering framework. SIMART has already been successfully used in realistic simulation environments as well as real time experiments involving several laboratory pilots that have been interfaced with PC computer using IO cards as Lab Master, Alliance. RTI and PC Lab. An industrial interface of SIMART has been recently developed from a programmable logical controller “PMX série 7” of the Schneider Automation company. An application is reported to demonstrate the feasibility of the underlying advanced control approach of SIMART.
Automated Highway system (AHS) is an example of a large-scale, multi-agent, hybrid dynamical system. In this paper, the use of computeraided simulation tool for design and evaluation of control laws, for an AHS based...
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Automated Highway system (AHS) is an example of a large-scale, multi-agent, hybrid dynamical system. In this paper, the use of computeraided simulation tool for design and evaluation of control laws, for an AHS based on platooning, is outlined. The hierarchical control architecture for AHS is described along with the details of the simulation tool SmartPath. The role of SmartPalh in design and evaluation of AHS control laws is also depicted in the paper.
Optimal control requires a linear model of the system to be controlled and a cost criterion that indicates the objectives of the controlled system. Once these are available, the parameter values for the controller can...
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Optimal control requires a linear model of the system to be controlled and a cost criterion that indicates the objectives of the controlled system. Once these are available, the parameter values for the controller can be found procedurally using suitable software tools. This paper proposes a procedure to determine this criterion in the conceptual design stage, for a particular class of mechatronic systems. A rule of thumb is combined with a mechatronic design tool that can be automated almost completely. Therefore, the proposed design procedure of optimal control with guaranteed performance and stability robustness can also be automated completely.
In this paper we address the problem of determining the least conservative stability criteria for the stability of non-linear multivariable feedback systems based upon a characterisation of the non-linearity and eigen...
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In this paper we address the problem of determining the least conservative stability criteria for the stability of non-linear multivariable feedback systems based upon a characterisation of the non-linearity and eigenloci plots of the linear operator or its normal approximate. A series of on-axis and off-axis circle type stability criteria are derived which may be readily incorporated into multivariable CAD packages; non-normal linear operators are accounted for by expanding the critical stability circles by an amount that reflects the degree of non-normality. To add to the flexibility of the approach, frequency dependent sectors are introduced in order to further reduce the inherent conservatism of circle criteria.
This paper presents a computer aided control system design (CACSD) environment completely based on the programming language Python. Students can perform all the controldesign tasks (modeling, identification, controll...
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This paper presents a computer aided control system design (CACSD) environment completely based on the programming language Python. Students can perform all the controldesign tasks (modeling, identification, controller design, simulation) in this environment, and at the end, they can automatically generate RT code for targets like a PC or a Raspberry PI with a Linux RT OS. A Python package for control purposes have been developed at the Caltech by Richard Murray, with the aim of integrating the most used functions and methods available in other commercial and non commercial software. Using this package it is possible to design different kinds of controllers for laboratory plants (PID, state-feedback, LQR, including full and reduced order observers). An additional package developed at SUPSI allows representing the full system in a graphical block diagram, similar to xCos or Simulink, and automatically generating code for RT targets. This application offers the most used blocks required for the design of a controlsystem. New blocks can be easily integrated into this SW. This environment has been validated at the SUPSI laboratory on different electromechanical plants: the classical Inverted Pendulum, the Disks and Spring system, the Ball on Plate and the Ball on Wheel plants.
A new dynamic mill simulator has been developed, acting as a realistic environment for controller evaluation as well as enabling the development of linear state-space models for controller synthesis. The construction ...
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A new dynamic mill simulator has been developed, acting as a realistic environment for controller evaluation as well as enabling the development of linear state-space models for controller synthesis. The construction of the simulator is performed in a modular fashion with the help of a series of interlinked blocks and various levels of hierarchy. Comprehensive, physically based, nonlinear models are used for all rolling mill components including hydraulic actuator, mill stand, rollgap, electrical systems, decoiler, coiler and their controls. The simulator is a part of an open computer aided control system design environment for Hardware In-the Loop simulation and Rapid controller Prototyping.
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