查詢結果分析
來源資料
相關文獻
- T-S Fuzzy Modeling and Control for Electric Vehicle Propulsion Using Linear Matrix Inequality
- Robust Decentralized Stabilization for Large-Scale Systems with Time-Delays
- Novel Fuzzy Regression Approach for Managing Target Cash Balance in Construction Firms
- Stability Analysis for Fuzzy Control of Passive Tuned Mass Damper Subjected to External Force
頁籤選單縮合
題名 | T-S Fuzzy Modeling and Control for Electric Vehicle Propulsion Using Linear Matrix Inequality=電動車推進系統的模糊建模及控制中使用線性距陣不等式 |
---|---|
作者姓名(中文) | 謝承達; | 書刊名 | 修平學報 |
卷期 | 8 2004.03[民93.03] |
頁次 | 頁141-163 |
分類號 | 448.942 |
關鍵詞 | 電動車推進系統; T-S模糊模式; 強健模糊控制; 強健穩定化; 凸出最佳化技術; EV propulsion; T-S fuzzy model; Robust fuzzy control; Robust stabilization; Linear matrix inequality; Convex optimization techniques; |
語文 | 英文(English) |
中文摘要 | 本文提出一能在不同路況下達到速度追蹤的電動車推進系統模糊控制設計法。首先以T-S模糊模式近似使用高效率交流馬達的電動車推進系統的狀態方程式,然後根據T-S模糊模式進行強健模糊控制設計,使電動車推進系統具強健穩定性能。將控制設計問題轉換成線性矩陣不等式(LMI)問題凸出最佳化技術有效率地解出。由電腦模擬可驗證所提控制策略的有效性。 |
英文摘要 | This paper presents a fuzzy control design approach which can meet the speed tracking requirement when electric vehicles are operated on various traffic conditions. A T-S fuzzy model for approximating the state equation of an electric vehicle propulsion system with high energy efficiency-based ac motor drive is first proposed, and a robust fuzzy control based on the T-S fuzzy model is then considered. The robust stabilization for the EV(electric vehicle) propulsion system is cast into a linear matrix inequality (LMI) problem via roust performance analysis, and the LMI problem can be solved efficiently by using the convex optimization techniques. Computer simulations are presented for illustrating the performance of the suggested control strategy. |
本系統之摘要資訊系依該期刊論文摘要之資訊為主。