The implementation of the Extended Prediction Self-Adaptive Controller is presented in this paper. It employs LabVIEWTM graphical programming of industrial equipment and it is suitable for controlling fast processes. Three different systems are used for implementing the control algorithm. The research regarding the controller design using graphical programming demonstrates that a single advanced control application can run on Windows, real time operating systems and FPGA targets without requiring significant program modifications. The most appropriate device may be selected according to the required processing time of the control signal and of the application. A relevant case study is used to exemplify the procedure
This paper is focused in application of a self - tuning predictive controller for real - time contro...
In this paper a trial has been made to design a simple self-tuning LabVIEW-based PID controller. The...
The majority of processes met in the industrial practice have stochastic characteristics and eventua...
The implementation of the Extended Prediction Self-Adaptive Controller is presented in this paper. I...
This paper presents an approach for developing an Extended Prediction Self-Adaptive Controller emplo...
This paper presents an approach for developing an extended prediction self-adaptive controller emplo...
Real-time control is an approach to evaluate process system with real-time parameters by controlling...
Graphical programming provides a suitable way to design and configure advanced control applications....
The thesis tests the implementation of an adaptive identifier and controller on a Texas Instrument T...
This paper deals with the implementation of a self-tuning controller into a PLC (Programmable Logica...
The paper is focused in design of an adaptive predictive control algorithm and its application for c...
The recent Generalised Predictive Control algorithm (Clarke et al, 1984,87) is a self-tuning/ adapti...
The speed and accuracy of microprocessors has extensively changed the way control systems are design...
Self-adaptive software systems are designed to support a number of alternative solutions for fulfill...
AbstrPct--The design and implementation of a new adaptive nonlinear predictive controller is present...
This paper is focused in application of a self - tuning predictive controller for real - time contro...
In this paper a trial has been made to design a simple self-tuning LabVIEW-based PID controller. The...
The majority of processes met in the industrial practice have stochastic characteristics and eventua...
The implementation of the Extended Prediction Self-Adaptive Controller is presented in this paper. I...
This paper presents an approach for developing an Extended Prediction Self-Adaptive Controller emplo...
This paper presents an approach for developing an extended prediction self-adaptive controller emplo...
Real-time control is an approach to evaluate process system with real-time parameters by controlling...
Graphical programming provides a suitable way to design and configure advanced control applications....
The thesis tests the implementation of an adaptive identifier and controller on a Texas Instrument T...
This paper deals with the implementation of a self-tuning controller into a PLC (Programmable Logica...
The paper is focused in design of an adaptive predictive control algorithm and its application for c...
The recent Generalised Predictive Control algorithm (Clarke et al, 1984,87) is a self-tuning/ adapti...
The speed and accuracy of microprocessors has extensively changed the way control systems are design...
Self-adaptive software systems are designed to support a number of alternative solutions for fulfill...
AbstrPct--The design and implementation of a new adaptive nonlinear predictive controller is present...
This paper is focused in application of a self - tuning predictive controller for real - time contro...
In this paper a trial has been made to design a simple self-tuning LabVIEW-based PID controller. The...
The majority of processes met in the industrial practice have stochastic characteristics and eventua...