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Design of mode‐to‐mode fuzzy controllers
Author(s) -
Rufus Freeman,
Vachtsevanos George
Publication year - 2000
Publication title -
international journal of intelligent systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.291
H-Index - 87
eISSN - 1098-111X
pISSN - 0884-8173
DOI - 10.1002/(sici)1098-111x(200007)15:7<657::aid-int6>3.0.co;2-p
Subject(s) - mode (computer interface) , control theory (sociology) , controller (irrigation) , fuzzy logic , computer science , phase portrait , point (geometry) , equilibrium point , mathematics , control (management) , physics , artificial intelligence , bifurcation , mathematical analysis , geometry , nonlinear system , quantum mechanics , agronomy , biology , differential equation , operating system
The mode‐to‐mode transition problem involves taking initial states in the start mode to the equilibrium point of the goal mode, where each mode of operation corresponds to an operating regime about an equilibrium point. Like the problem of dynamic transitions between various equilibria, there is no consistent theory that deals with the mode‐to‐mode transition problem. This paper presents a method of designing mode‐to‐mode controllers by blending the start and goal mode controllers. The blending gains are determined by the phase portrait assignment algorithm. The phase portrait assignment algorithm is a systematic technique that uses dynamic programming and center‐point cell mapping to design fuzzy logic controllers. A hover mode to forward flight mode controller for a small‐scale helicopter is synthesized to illustrate the design methodology. Simulation results show that the controller is able to transition stably from hover to forward flight. Finally, sensitivity analysis of the hover to forward flight controller is performed for small parameter perturbations. © 2000 John Wiley & Sons, Inc.