Predictive Functional Control Based on Fuzzy Model: Design and Stability Study

Authors:
Igor Škrjanc;Saso Blazic
Affiliations:
Faculty of Electrical Engineering, University of Ljubljana, Ljubljana, Slovenia 1000;Faculty of Electrical Engineering, University of Ljubljana, Ljubljana, Slovenia 1000
Venue:
Journal of Intelligent and Robotic Systems
Year:
2005

Citing 7
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Abstract

In the paper the design methodology and stability analysis of parallel distributed fuzzy model based predictive control is presented. The idea is to design a control law for each rule of the fuzzy model and blend them together. The proposed control algorithm is developed in state space domain and is given in analytical form. The analytical form brings advantages in comparison with optimization based control schemes especially in the sence of realization in real-time. The stability analysis and design problems can be viewed as a linear matrix inequalities problem. This problem is solved by convex programming involving LMIs. In the paper a sufficient stability condition for parallel distributed fuzzy model-based predictive control is given. The problem is illustrated by an example on magnetic suspension system.