On-off control is still widely used in the industry, especially for discontinuous actuators, e.g. compressors, steam turbines or furnace burners. Exact set-point control is not possible by an on-off controller. Lower ...
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ISBN:
(纸本)9783902661661
On-off control is still widely used in the industry, especially for discontinuous actuators, e.g. compressors, steam turbines or furnace burners. Exact set-point control is not possible by an on-off controller. Lower and upper limits are defined for the control signal which should not be violated. For this predictive gap control quadratic and horizon dependent cost functions are defined. Traditional numerical optimization fails with longer prediction horizons, but a genetic algorithm can be effectively applied even for long horizons.
The main aim of the contribution is to present a possible approach to design of simple Proportional-Integral (PI) robust controllers and subsequently to demonstrate their applicability during control of a laboratory m...
The main aim of the contribution is to present a possible approach to design of simple Proportional-Integral (PI) robust controllers and subsequently to demonstrate their applicability during control of a laboratory model with uncertain parameters through the Programmable Logic controller (PLC) SIMATIC S7–300 by Siemens Company. The proposed and utilized synthesis consists of two steps – the former one is a determination of controller parameters area, which ensures the robustly stable control loop and which is based on the computing/plotting the stability boundary locus while the latter one lies in the final choice of the controller itself relying on algebraic techniques. The basic theoretical parts are followed by laboratory experiments in which the 3rd order nonlinear electronic model has been successfully controlled in various working points.
Abstract On-off control is still widely used in the industry, especially for discontinuous actuators, e.g. compressors, steam turbines or furnace burners. Exact set-point control is not possible by an on-off controlle...
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Abstract On-off control is still widely used in the industry, especially for discontinuous actuators, e.g. compressors, steam turbines or furnace burners. Exact set-point control is not possible by an on-off controller. Lower and upper limits are defined for the control signal which should not be violated. For this predictive gap control quadratic and horizon dependent cost functions are defined. Traditional numerical optimization fails with longer prediction horizons, but a genetic algorithm can be effectively applied even for long horizons.
This paper deals adaptive control of the real model represented by the Continuous-stirred tank reactor (CSTR). This type of reactor belongs to the class of systems with lumped-parameters. The chemical process inside t...
This paper deals adaptive control of the real model represented by the Continuous-stirred tank reactor (CSTR). This type of reactor belongs to the class of systems with lumped-parameters. The chemical process inside the reactor is dilution of the salt with the clean water. The resulted mixture has specific conductivity, which is about to be controlled, depends on the content of the salt inside the reactant. Used adaptive approach is based on recursive identification of the system's parameters during the control. A polynomial approach used for the controller synthesis has satisfied control requirements and moreover, it could be used for systems with negative properties such as nonlinearity, non-minimum phase etc.
This paper compares two different methods applied to adaptive control of a real multivariable laboratory system of three interconnected tanks. In first case, a controller based on polynomial methods was used. The seco...
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This paper compares two different methods applied to adaptive control of a real multivariable laboratory system of three interconnected tanks. In first case, a controller based on polynomial methods was used. The second method is based on model predictive control (MPC) approach. Both methods are based on a same model of the controlled process. Both controllers were realized as self - tuning controllers with on - line recursive identification of an ARX model of the controlled process. Results of real-time experiments are also included and quality of control achieved by both methods is compared and discussed.
The paper presents a new approach to tuning a control loop. It uses a gradual iterative way to adapt settling- time and overshoot of a controlled variable. The algorithm exploits the virtual reference feedback tuning ...
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The paper presents a new approach to tuning a control loop. It uses a gradual iterative way to adapt settling- time and overshoot of a controlled variable. The algorithm exploits the virtual reference feedback tuning methodology - a direct method for controller design. Results are demonstrated using simulation experiments on a system from a test batch of models suitable for control purposes.
Manipulation process is connecting of our macroscopic world to the microscopic or nanoscopic one. Manipulation can occur in a variety of ways. Outside manipulation take control over the process by external forces. Ins...
Manipulation process is connecting of our macroscopic world to the microscopic or nanoscopic one. Manipulation can occur in a variety of ways. Outside manipulation take control over the process by external forces. Inside process manipulation is becoming a part of the process. This process manipulation is called advanced process manipulation (APM). Possibility of process manipulation may substantially enhance the process effectiveness. In this paper methods of advanced process manipulation are presented. An incremental manipulation process will be defined as a sequence of basic operations. process manipulation generally requires custom-built system capable of performing of manipulation procedures. The progress in manipulation techniques can extend the application of the manipulated system. We have developed a simulation based system which was successfully implemented for designing of APM systems and controlprocess in ways that are not conventionally possible. The developed system was applied on magnesia sintering process in shaft and rotary furnaces.
Adaptive control of a three – tank - system laboratory model is presented. The objective laboratory model is a two input – two output (TITO) nonlinear system. It is based on experience with authentic industrial cont...
Adaptive control of a three – tank - system laboratory model is presented. The objective laboratory model is a two input – two output (TITO) nonlinear system. It is based on experience with authentic industrial control applications. Two control algorithms utilizing polynomial theory and pole – placement were applied and compared. The first one is based on the traditional 1DOF (one – degree of freedom) configuration of the closed loop, the second one applies a decoupling method to suppress undesired cross – coupling. The algorithms implemented as self – tuning controllers are then used for control of the model. Results of real-time experiments are also included. Quality of control achieved by both methods is compared and discussed.
The Universal Business Language (UBL) is a new standard describing the content of XML documents. The purpose of UBL is to standardize common business documents. UBL define library of documents making up process "...
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ISBN:
(纸本)9789612322045
The Universal Business Language (UBL) is a new standard describing the content of XML documents. The purpose of UBL is to standardize common business documents. UBL define library of documents making up process "sourcing-topayment". In this article there are Test Case Scenarios created for the project ABILITIES (Application Bus for InteroperabiLITy In enlarged Europe SMEs, FP6/2004/IST/4).
The contribution deals with the problem of designing a control system for a magnetic levitation apparatus. The proposed procedure uses a polynomial approach for control system design with control structure having two ...
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