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題名 | Sliding Observer Based Nonlinear Model Predictive Control=以滑動估測器為基礎之非線性模式預測控制 |
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作者 | 黃孝平; 賴經綸; 王國彬; Huang, Hsiao-ping; Lai, Ching-luen; Wang, Gow-bin; |
期刊 | Journal of the Chinese Institute of Chemical Engineers |
出版日期 | 19961100 |
卷期 | 27:6 1996.11[民85.11] |
頁次 | 頁465-475 |
分類號 | 460.02 |
語文 | eng |
關鍵詞 | 滑動估測器; 非線性模式預測控制; Nonlinear; Model predictive control; Sliding observer; Quadratic dynamic matrix control; Kalman filter; |
中文摘要 | 文獻中,已有學者提出以狀態估測器為基礎之非線性模式預測控制策略,可有效地控制開環不穩定的非線性程序。然而,這些以線性化為基礎的預測控制技術,基本上都需要準確的估測結果來確保線性化模式的品質。在此,以滑動方式的觀點出發,建構一具相當韌性的非線性狀態估測器,將之引入非線性二次規劃動態矩陣控中,改善其執行缺失及性能;系統之未知擾動和模式誤差被視為新增的狀態變數,應用滑動估測器可準確估測之。由模擬結果顯示,所提以狀態估測器為基礎之非線性模式預測控制策略,可有效處理開環穩定和不穩定非線性程序的控制問題。 |
英文摘要 | State observer based nonlinear model predictive control approaches have been reported in literature to control open-loop unstable nonlinear processes. The inherent drawback of these linearization-based techniques is the requirement of accurate state estimates to ensure the quality of the linearized model. In this article, a rigorous nonlinear state estimator based on sliding mode is thus proposed and is incorporated with the nonlinear quadratic dynamic matrix control (NLQDMC) for the refinement of implementation and performance. The unknown disturbances or modeling errors existing in a nonlinear system can be modeled and estimated as augmented states by using this sliding observer. Two example problems are utilized to demonstrate the construction and performance of this sliding observer based nonlinear predictive control for open-loop stable and unstable processes. |
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