Temperature Control of a Regasification System for LNG-fuelled Marine Engines Using Nonlinear Control Techniques
Autor: | Yung-Deug Son, Gang-Gyoo Jin, Hyun-Sik Yi, Gun-Baek So |
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Rok vydání: | 2018 |
Předmět: |
Regasification
0209 industrial biotechnology Temperature control Computer science 020209 energy Stability (learning theory) 02 engineering and technology Nonlinear control Computer Science Applications Nonlinear system 020901 industrial engineering & automation Control and Systems Engineering Control theory Genetic algorithm 0202 electrical engineering electronic engineering information engineering Circle criterion |
Zdroj: | International Journal of Control, Automation and Systems. 16:3047-3054 |
ISSN: | 2005-4092 1598-6446 |
DOI: | 10.1007/s12555-018-0179-6 |
Popis: | This paper presents two nonlinear PID (NPID) controllers which control the glycol temperature of a regasification system for LNG-fuelled engines. The NPID controllers have a parallel structure of the three nonlinear P, I, D actions or the linear P, D actions and nonlinear I action. A nonlinear function is employed to scale the error as input of the integral and implemented as a Takagi-Sugeno (T-S) fuzzy model. The controller parameters are optimally tuned by using a genetic algorithm. Furthermore, the stability problem of the overall system is verified based on the circle criterion. A set of simulation works is carried out to validate the efficiency of the two proposed controllers. |
Databáze: | OpenAIRE |
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