scholarly journals Effects of Plant Identification on the Generalized Predictive Controllers Design

2016 ◽  
Vol 14 (4) ◽  
pp. 2-10
Author(s):  
E. Garipov

Abstract The effects of the estmated plant models accuracy on the control system signals quality after generalized predictive controllers design are studied in the paper. Two identification approaches are used for different in structures discrete-time models – by optimization procedure in Optimization Toolbox based on the plant step response as a standard deterministic plant characteristic and by functions in System Identification Toolbox after experiments with random signals on the plant. The generalized predictive controllers are design according to the estimated models. The processes in the simulated control systems are analyzed concerning the effects of different kind plant models on the designed controllers.

Author(s):  
Rohit K. Belapurkar ◽  
Rama K. Yedavalli

Series cascade control systems, in which, the output of one process drives a second process are studied extensively in literature. Traditional control design methods based on transfer function approach are used for design of cascade control systems with disturbances in inner loop and time delays in outer loop process. Design of current turboshaft engine control systems are based on cascade control system framework. Next generation aircraft engine control systems are based on distributed architecture, in which, communication constraints like time delays can degrade control system performance. Stability of networked cascade control systems for turboshaft engines in a state space framework is analyzed in the presence of time delays. Two architectures of networked cascade control systems are presented. Stability conditions for discrete-time cascade control systems are presented for each of the architecture with time delays which are more than the sampling time.


2014 ◽  
Vol 596 ◽  
pp. 594-597
Author(s):  
Sheng Guo Zhang ◽  
Kai Wang ◽  
Xiao Ping Dang

This paper aims at exploring the modal analysis approach of a motion control system. Based on the inverse Laplace transformation, the step response of a control system is derived. Then this response is associated with the modal analyses in state space theory. And then the motion mode of a control system is analyzed with the modal analysis method. Application example indicates that this approach can be used to analyze the high-order control system successfully. This facilitates the motion mode analyses of high-order control system very much.


2021 ◽  
Vol 15 (1) ◽  
Author(s):  
Arya Bhaskara Adiprabowo ◽  
Astri Pertiwi ◽  
Nurdiah Rahmawati ◽  
Frendy Rian Saputro ◽  
Novio Valentino ◽  
...  

Catalyst activation is an important step in methanol synthesis process, achieved by the reduction of CuO precursor producing Cu0 active sites.  Testplant’s temperature operation shall be maintainted at 220°C in order to maximize the CuO reduction process in the catalyst activation step. A temperature control system shall be applied in methanol testplant to maintain the temperature during reduction process, due to sensitivity of reduction process to temperature variation and possibility of disturbance such as change in gas flow rate which could affects the operating temperature. Temperature control systems are tested by using step response at the desired setpoint, which is 220°C at pre-heater and reactor and 60°C at sampling line. The tests are conducted by changing the setpoint value at temperature controller and previously stable flow gas in the system (disturbance rejection). The temperature control system proved to be able to response well during the test. In the end, methanol is produced from syngas, indicating catalyst activation success. Keywords: Catalyst Activation; Methanol Testplant; Temperature Controller


Author(s):  
D. SUBBARAM NAIDU

1969 ◽  
Vol 2 (1) ◽  
pp. T6-T12
Author(s):  
O. L. R. Jacobs

The paper describes a digital computer simulation of a class of discrete-time, single-input, stepping extremum control systems with input disturbance and output measurement noise and with an easily instrumented control law. The results of the simulation provide both design equations and quantitative information about the best results that can be achieved with the class of systems considered. Two features of the simulation that are of interest are an automatic procedure that is used to reduce statistical errors to a specified level, and the use of dimensional analysis to reduce the number of variables that need be considered to two.


2019 ◽  
Vol 111 ◽  
pp. 05008 ◽  
Author(s):  
Taha Arghand ◽  
Jan-Olof Dalenbäck ◽  
Anders Trüschel ◽  
Saqib Javed

Designing appropriate control systems for radiant heating and cooling terminals entails an understanding of their dynamic behaviour. This study experimentally investigates the dynamic response of a room with convective and radiant cooling systems. The experiments were performed in a 12.6 m2 large test room outfitted as a single-office room. The main cooling system was radiant ceiling panels which covered 70% of the ceiling area. The thermal performance of the radiant system was compared to that of a fan-coil unit (FCU). The results from the step response test showed that the time constant of the room for the radiant system was shorter than for the convective one, indicating faster changes in room temperature by the radiant system. Furthermore, controlling the FCU with similar control system tuned for ceiling panels increased the hysteresis gap in the room air temperature from 0.4 K to 0.8 K. This indicates that control systems for low-mass radiant systems and convective systems might be applied to each other, but on-site tuning is required to omit the offset (persistent error). In this study, controlling room temperature with ceiling panels did not benefit from using an operative temperature sensor to provide feedback signal to the control system. However, the pump energy use was moderately decreased by 14%.


2020 ◽  
Vol 13 (1) ◽  
pp. 41-48
Author(s):  
Anna Vasičkaninová ◽  
Monika Bakošová ◽  
Alajos Mészáros

AbstractThe paper reveals three applications of neural network predictive control (NNPC) to a system of four heat exchangers (HEs) in series with counterflow configuration to save energy expressed by cooling water in the system of HEs cooling the distillation product. Neural networks (NNs) are used at first in conventional NNPC and subsequently, neural network predictive controllers (NNPCLs) are employed as a master controller in a cascade control, and as a feedback controller in the control system with disturbance measurement. Neural-network-predictive-control-based (NNPC-based) feedback control systems are compared with PI controller based feedback control loop. Series of simulation experiments were done and the results showed that using NNPC-based cascade control reduced cooling water consumption. This control system also significantly reduced the settling time and overshoots in the control responses and provided the best assessed integral quality criteria compared to other control systems. NNPC-based cascade control can also be interesting for industrial use. Generally, simulation results proved that NNPC-based control systems are promising means for the improvement of HEs control and achievement of energy saving.


2004 ◽  
Vol 17 (1) ◽  
pp. 11-20 ◽  
Author(s):  
Zoran Jovanovic ◽  
Bratislav Dankovic

The problem of probability stability discrete-time control system is considered. A method for stability estimation of the arbitrary order systems is given. Probability stability discrete-time control systems with random parameters are also analyzed.


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