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基于Kalman濾波和純追蹤模型的農業(yè)機械導航控制
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Trajectory Tracking Control Method Based on Kalman Filter and Pure Pursuit Model for Agricultural Vehicle
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    摘要:

    以KUBOTA SPU-68水田插秧機為試驗平臺,,以RTK-DGPS為主要導航方式,輔以航向姿態(tài)參考系統(tǒng)AHRS500GA-227,,研究提高農業(yè)機械導航控制精度的方法,。在重點對GPS傾斜誤差校正的基礎上,設計了Kalman濾波器對定位數(shù)據進行平滑處理,,同時實現(xiàn)磁航向傳感器偏移誤差的在線辨識與航向校正,。采用純追蹤模型實現(xiàn)農業(yè)機械直線跟蹤控制,基于ITAE優(yōu)化準則,,仿真研究了最佳前視距離的確定方法,。試驗結果表明:GPS傾斜誤差校正和Kalman濾波后的導航參數(shù)可以更真實地反映插秧機水田實際運動狀態(tài);純追蹤模型可以用于插秧機田間作業(yè)直線導航,,當行進速度0.6m/s時,,直線跟蹤最大誤差小于0.17m,平均誤差小于

    Abstract:

    0.02m,。 An automatic guidance system was developed on KUBOTA SPU-68 rice transplanter using Trimble 5700 RTK-DGPS and Crossbow AHRS500GA-227. RTK-DGPS positioning data was corrected using the heading, roll and pitch parameters acquired from AHRS500GA. A Kalman filter based on position-velocity model was developed to smooth the corrected DGPS positioning data and evaluate the bias error of the heading angle. A new trajectory tracking control method was proposed based on pure pursuit model. The determination method of the look-ahead distance was studied in detail for line tracking. Simulation result indicated that the optimized look-ahead distance could be determined for a special traveling speed based on the ITAE optimization. The test result showed that the proposed positioning and orientation evaluation algorithm could eliminate the effects of uneven field condition on GPS positioning and evaluate the bias error of the heading angle from AHRS online. The developed trajectory tracking controller was helpful to improve the tracking control performance. The maximal lateral tracking error could be kept within a range of ±0.17 m and the mean lateral tracking error was less than 0.02 m at the normal traveling speed.

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張智剛,羅淆文,趙祚喜,黃沛琛.基于Kalman濾波和純追蹤模型的農業(yè)機械導航控制[J].農業(yè)機械學報,2009,40(Z1):6-12. Trajectory Tracking Control Method Based on Kalman Filter and Pure Pursuit Model for Agricultural Vehicle[J]. Transactions of the Chinese Society for Agricultural Machinery,2009,40(Z1):6-12.

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