کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
381639 1437515 2006 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Multiobjective evolution based fuzzy PI controller design for nonlinear systems
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Multiobjective evolution based fuzzy PI controller design for nonlinear systems
چکیده انگلیسی

This work proposes a gain scheduling adaptive control scheme based on fuzzy systems, neural networks and genetic algorithms for nonlinear plants. A fuzzy PI controller is developed, which is a discrete time version of a conventional one. Its data base as well as the constant PI control gains are optimally designed by using a genetic algorithm for simultaneously satisfying the following specifications: overshoot and settling time minimizations and output response smoothing. A neural gain scheduler is designed, by the backpropagation algorithm, to tune the optimal parameters of the fuzzy PI controller at some operating points. Simulation results are shown to demonstrate the efficiency of the proposed structure for a DC servomotor adaptive speed control system used as an actuator of robotic manipulators.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Engineering Applications of Artificial Intelligence - Volume 19, Issue 2, March 2006, Pages 157–167
نویسندگان
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