| Title |
Modeliu prognozuojamo valdymo algoritmų efektyvumo tyrimai / |
| Translation of Title |
Investigation of efficiency of model predictive control algorithms. |
| Authors |
Vaičekauskis, Edvinas |
| Full Text |
|
| Pages |
67 |
| Keywords [eng] |
model predictive control ; PID controller ; neural network ; algorithms |
| Abstract [eng] |
The aim of Master‘s final project is to perform investigation of efficiency of model predictive control algorithms. In this project the methodology of model predictive control is reviewed. Development of algorithms and the main control strategies which are the most commonly applied in practice are analyzed. Analysis of formation of neural network and their application for identification of plant models is performed. Application of algorithms of model predictive control for control of typical and nonlinear processes is performed using MATLAB/SIMULINK software. Plant parameters of transfer functions are identified for adjustment of PID controller using step function method. Comparison of performance/control quality of MPC and PID controller is carried out when plant model is: first order transfer function with time delay, second order transfer function with time delay and two-tank system process. |
| Dissertation Institution |
Kauno technologijos universitetas. |
| Type |
Master thesis |
| Language |
Lithuanian |
| Publication date |
2017 |
