Effective Method to Compensate the Nonlinear and Time-delay Part of AGC Strip Gauge Control
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摘要: 針對在AGC板厚控制系統中存在時滯、時變、大慣性、非線性等問題,提出了采用自適應集中延時神經網絡辨識、最優預報和模糊免疫PID控制相結合的控制方案,有效地提高了系統的控制精度和動態性能.經MATLAB仿真實驗表明,各項指標均好于傳統的控制方式,取得了令人滿意的控制效果.Abstract: Against the problems of time-delay, parameters-varyingness, large inertia, and non-linearity existing in AGC systems, a controller which combines adaptive centralized time-delay neural network recognition, optimal prediction and immunized fuzzy PID is proposed. The controller effectively improves the accuracy and dynamic performances of the system. Simulations in Matlab show that the controller is superior to traditional control strategies in all design criteria.
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