データ駆動型ファジィ制御による時間最適なアグレッシブ軌道追従
Data-driven Fuzzy Control for Time-Optimal Aggressive Trajectory Following
マルチコプタの空中フリップのようなアグレッシブ機動に対し、時間最適軌道を数値的に生成し、それを模倣するARMAコントローラとホバー付近の安定化コントローラをTakagi-Sugenoファジィ系で統合したデータ駆動型制御器を提案した。
著者: August Phelps, Juan Augusto Paredes Salazar, Ankit Goel
分類: eess.SY, cs.LG, cs.RO, cs.SY
原文アブストラクト
Optimal trajectories that minimize a user-defined cost function in dynamic systems require the solution of a two-point boundary value problem. The optimization process yields an optimal control sequence that depends on the initial conditions and system parameters. However, the optimal sequence may result in undesirable behavior if the system's initial conditions and parameters are erroneous. This work presents a data-driven fuzzy controller synthesis framework that is guided by a time-optimal trajectory for multicopter tracking problems. In particular, we consider an aggressive maneuver consisting of a mid-air flip and generate a time-optimal trajectory by numerically solving the two-point boundary value problem. A fuzzy controller consisting of a stabilizing controller near hover conditions and an autoregressive moving average (ARMA) controller, trained to mimic the time-optimal aggressive trajectory, is constructed using the Takagi-Sugeno fuzzy framework.
