MODEL PREDICTIVE CONTROL DEVICE

To suppress destabilization in the computation to solve an optimization problem of MPC by a continuous deformation method.SOLUTION: A model predictive control device 1 includes a state quantity acquisition unit 2 that acquires information on the position of a moving body 8 as a state quantity, a sto...

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Bibliographic Details
Main Authors FUJII MASAKAZU, YOSHIMITSU RYO
Format Patent
LanguageEnglish
Japanese
Published 11.07.2019
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Summary:To suppress destabilization in the computation to solve an optimization problem of MPC by a continuous deformation method.SOLUTION: A model predictive control device 1 includes a state quantity acquisition unit 2 that acquires information on the position of a moving body 8 as a state quantity, a storage unit 3 in which a target position is stored, a constraint setting unit 4, a parameter setting unit 5, and a calculation unit 6. As a cost function at the time when an optimization problem of MPC for determining the moving path of the moving body 8 is made an unconstrained optimization problem, the calculation unit 6 sets the cost function by adding a penalty term to relax the constraint along the time axis on the horizon. Next, the calculation unit 6 solves the unconstrained optimization problem by the continuous deformation method, and sets a control amount of the first step in the obtained horizon to the control amount of the moving body 8 at the time when one step of time has elapsed in the horizon. The model predictive control device 1 gives a command 7 based on the control amount to a moving device 12 of the moving body.SELECTED DRAWING: Figure 1 【課題】 MPCの最適化問題を連続変形法で解く計算の不安定化を抑制する。【解決手段】 モデル予測制御装置1は、移動体8の位置の情報を状態量として取得する状態量取得部2と、目標位置が記憶された記憶部3と、制約設定部4と、パラメータ設定部5と、計算部6とを備える。計算部6は、移動体8の移動経路を求めるためのMPCの最適化問題を、無制約化した最適化問題にするときのコスト関数として、ホライズン上で時間軸方向に沿い制約が緩和されるペナルティ項を加えたコスト関数を設定する。次いで計算部6は、無制約化された最適化問題を連続変形法で解き、得られたホライズンにおける1ステップ目の制御量を、ホライズンで1ステップ分の時間が経過した時点での移動体8の制御量とし、モデル予測制御装置1は、その制御量に基づく指令7を移動体の移動装置12へ与える。【選択図】図1
Bibliography:Application Number: JP20170245001