کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
766083 897081 2011 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Application of an improved PSO algorithm to optimal tuning of PID gains for water turbine governor
موضوعات مرتبط
مهندسی و علوم پایه مهندسی انرژی انرژی (عمومی)
پیش نمایش صفحه اول مقاله
Application of an improved PSO algorithm to optimal tuning of PID gains for water turbine governor
چکیده انگلیسی

In this paper, an improved particle swarm optimization (IPSO) algorithm is proposed. Besides the individual best position and the global best position, a nominal average position of the swarm is introduced in IPSO. The performance of IPSO is compared to different PSO variants with five well-known benchmark functions. The experimental results show that the proposed IPSO algorithm improves the searching performance on the benchmark functions. And then, IPSO, as well as other PSO variants, is applied to optimal tuning of Proportional–Integral–Derivative (PID) gains for a typical PID control system of water turbine governor. The computer simulation results of an actual hydro power plant in China show that IPSO algorithm has stable convergence characteristic and good computational ability, and it is an effective and easily implemented method for optimal tuning of PID gains of water turbine governor.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Energy Conversion and Management - Volume 52, Issue 4, April 2011, Pages 1763–1770
نویسندگان
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