Autors: Yordanova, S. T., Slavov, M. N. Title: Stability Analysis of Model-Free Adaptive Fuzzy Logic Control System Applied for Liquid Level Control in Soda Production Keywords: Adaptive system; Fuzzy logic; Level control; Soda production Abstract: Efficient control of liquid level - in a carbonization column (CCl) of soda ash production plants - is a difficult task because the plants are nonlinear, subjected to disturbances and lack a reliable mathematical model. To attain such efficient control, model-free fuzzy logic controllers (FLC) based on empirical knowledge are successfully developed and implemented, and adaptation mechanisms are added to aid the FLC tuning and compensate for plant changes. However, the stability analysis - of the adaptive FLC (AFLC) systems - is a critical issue that needs addressing. For this reason, the current investigation is devoted to the development of a method for analyzing AFLC system stability using robust stability and robust performance criteria. The suggested method is employed for the stability analysis of a designed PID AFLC utilized for liquid level control in an industrial CCl. The obtained results reveal that the AFLC preserves stability and high system performance in the whole range. References Issue
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Цитирания (Citation/s):
1. Rahul Prakash, Dharmendra Kumar Dheer (2023). An Integrated Approach for Yaw Stability of Linear Time Varying Bicycle Model Utilizing Adaptive Model Predictive Control. Jordan Journal of Electrical Engineering 9(4): 566-590, ISSN (print/online): 2409-9600/2409-9619, doi: 10.5455/jjee.204-1676111104. - 2023 - в издания, индексирани в Scopus и/или Web of Science
2. Abdulla S.C., Indoor Multi-Different-Wall Path Loss Prediction Model Using Adaptive Neuro-Fuzzy Inference System, 2025, Jordan Journal of Electrical Engineering, issue 1, vol. 11, pp. 52-65, DOI 10.5455/jjee.204-1716561420, issn 24099600, eissn 24099619 - 2025 - в издания, индексирани в Scopus
Вид: публикация в международен форум, публикация в издание с импакт фактор, индексирана в Scopus