کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
491976 721050 2012 19 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Offset-free fuzzy model predictive control of a boiler–turbine system based on genetic algorithm
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر علوم کامپیوتر (عمومی)
پیش نمایش صفحه اول مقاله
Offset-free fuzzy model predictive control of a boiler–turbine system based on genetic algorithm
چکیده انگلیسی

This paper presents a model predictive control (MPC) strategy based on genetic algorithm to solve the boiler–turbine control problem. First, a Takagi–Sugeno (TS) fuzzy model based on gap values is established to approximate the behavior of the boiler–turbine system, then a specially designed genetic algorithm (GA) is employed to solve the resulting constrained MPC problem. A terminal cost is added into the standard performance index so that a short prediction horizon can be adopted to effectively decrease the on-line computational burden. Moreover, the GA is accelerated by improving the initial population based on the optimal control sequence obtained at the previous sampling period and a local fuzzy linear quadratic (LQ) controller. Simulation results on a boiler–turbine system illustrate that a satisfactory closed-loop performance with offset-free property can be achieved by using the proposed method.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Simulation Modelling Practice and Theory - Volume 26, August 2012, Pages 77–95
نویسندگان
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