Serwis Infona wykorzystuje pliki cookies (ciasteczka). Są to wartości tekstowe, zapamiętywane przez przeglądarkę na urządzeniu użytkownika. Nasz serwis ma dostęp do tych wartości oraz wykorzystuje je do zapamiętania danych dotyczących użytkownika, takich jak np. ustawienia (typu widok ekranu, wybór języka interfejsu), zapamiętanie zalogowania. Korzystanie z serwisu Infona oznacza zgodę na zapis informacji i ich wykorzystanie dla celów korzytania z serwisu. Więcej informacji można znaleźć w Polityce prywatności oraz Regulaminie serwisu. Zamknięcie tego okienka potwierdza zapoznanie się z informacją o plikach cookies, akceptację polityki prywatności i regulaminu oraz sposobu wykorzystywania plików cookies w serwisie. Możesz zmienić ustawienia obsługi cookies w swojej przeglądarce.
A digital self-tuning controller algorithm for systems with time delay is presented in this paper. The controller parameter design is derived from the ultimate gain and ultimate period of the system. The main part of the paper consists in deriving the simple algebraic expressions for the ultimate values computation. It is performed for a first-order model with time delay on the basis of condition...
The paper presents a new methodology of the controller design for unstable time delay systems. The proposed method based on polynomial approach and LQ control theory yields a class of CT controllers ensuring setpoint tracking as well as load disturbance attenuation. Both control configurations, a 1DOF one with a feedback controller and a 2DOF one with a feedback and feedforward ones, were considered...
This contribution presents the application of self-tuning continuous — time controller for process control modelled by S — models. The process is identified by the regression (ARX) model using the recursive least squares method (RLSM) with applied directional forgetting. The basic RLSM algorithm has been modified for the δ- model structures. Controller synthesis is designed on the basis of the pole...
The contribution is focused on a design of a control algorithm for a nonlinear servo system with disturbance rejection using adaptive control strategy. It is obvious that for a rejection of the measurable disturbance is a suitable control strategy based on polynomial approach. The regression (output error) models are used in the identification part, the parameter estimates of the process and disturbance...
The paper deals with continuous-time nonlinear adaptive control of a continuous stirred tank reactor. The control strategy is based on an application of the controller consisting of a linear and nonlinear part. The static nonlinear part is derived in the way of an inversion and exponential approximation of measured or simulated input-output data. The design of the dynamic linear part is based on approximation...
The paper deals with the problem of modeling and control of nonlinear processes using the Local Model Network (LMN). The idea is based on development of the local linear models for the whole operating range of the controlled process. The nonlinear plant is then approximated by a set of locally valid sub-models, which are smoothly connected using the validity function. For saving the computational...
The paper deals with adaptive control of a tubular chemical reactor. As a part of the control design, preliminary steady-state and dynamic analysis of the process is incorporated. A nonlinear model of the process is approximated by a continuous-time external linear model with parameters estimated using a corresponding delta model. The controller design is based on the polynomial approach. The adaptive...
The majority of processes met in the industrial practice have stochastic characteristics and eventually they embody nonlinear behaviour. Traditional controllers with fixed parameters are often unsuitable for such processes because their parameters change. The changes of process parameters are caused by changes in the manufacturing process, in the nature of the input materials, fuel, machinery use...
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...
The paper deals with continuous-time adaptive control of a MIMO nonlinear process. A nonlinear model of the process is approximated by a continuous-time external linear model. Its parameters are estimated via an external delta model with the same structure as the CT model. The control system configuration with two feedback controllers is considered. For controllers design, the polynomial approach...
The paper deals with continuous-time adaptive control of a nonlinear process. A nonlinear model of the process is approximated by a continuous-time external linear model. The parameters of the CT external linear model are estimated via parameters of a corresponding delta model. The control system configuration with two feedback controllers is considered. The controller design is based on the polynomial...
The contribution deals with a self-tuning controllers library designed under MATLAB-Simulink environment. The library enables design and verification of two input-two output (TITO) discrete self-tuning controllers. It is a completely open system based on Simulink features. The controllers are implemented as encapsulated Simulink blocks and that enables their simple incorporation into existing Simulink...
The paper deals with the control of multivariable systems with the same number of inputs as the number of outputs using a decentralized approach. The controlled system is divided into single input-single output (SISO) subsystems and adaptive controllers are used to control each subsystem. This paper is focused to the usage of self-tuning controllers (STC) which are a subset of adaptive controllers...
The paper deals with design of controllers for time delay systems. The method is developed for stable, unstable and integrating time delay systems in conjunction with the approximation of the time delay term. The 2DOF control system configuration is considered. To derive of controllers, the polynomial approach and the pole assignment method are applied. The procedure is proposed for two choices of...
This paper considers the application of self-tuning digital PID controllers for process control modelled by delta models. The process is identified by the regression (ARX) model using the recursive least squares method (RLSM) with LD decomposition and applied directional forgetting. The basic RLSM algorithm has been modified for the delta model structures. Controller synthesis is designed by method...
This paper presents the design and simulation of adaptive control for a two input - two output system together with the real-time control of a laboratory model using this designed method. The synthesis is based on the polynomial approach. For the identification part the recursive least squares method with the directional forgetting was used. Results of simulations and real-time experiments are also...
The paper presents a way of control of decentralized two inputs two outputs (TITO) systems. The base of the approach is usage of the set of one-dimensional self-tuning controllers wiyh reduced orders, being tuned simultaneously, in contrast to methods using relays in feedback. A method of the recursive least squares with directional forgetting factor applied to the continuous-time system is used as...
Podaj zakres dat dla filtrowania wyświetlonych wyników. Możesz podać datę początkową, końcową lub obie daty. Daty możesz wpisać ręcznie lub wybrać za pomocą kalendarza.