本論文提出了以模型預測控制器(Model predictive controller)設計之車輛動態控制系統,並以保持車輛動態穩定為目的進行輪胎力之分配。於控制器設計中,分為上下層控制器,上層控制器為模型預測控制器設計之車輛安全穩定控制系統,在此系統之決定各輪之力分配,下層控制器接受此輪胎力分配命令,並依此命令對馬達系統或液壓系統進行控制,同時也監控並穩定輪胎狀態。以直接力矩控制演算法則當作比較對象,進行車輛之動態模擬,以檢驗此車輛安全穩定控制器之性能。同時在模擬中使用本論文開發之車輛安全穩定控制器,進行不同驅動配置之電動車進行車輛動態響應之綜合比較。最後以硬體迴圈模擬實驗驗證實現此控制器之可行性。
In this research, a model predictive control-based vehicle safety and stability control algorithm is proposed to stabilize vehicle through tire force distribution. The hierarchical control architecture including upper and lower controller is employed. In the upper controller, the driver’s intention and vehicle states are obtained. And the model predictive control theorem is utilized. The MPC-based controller determines the tire force distribution. The lower controller fulfills the desired forces for each wheel by coordinating motor output torque or frictional braking torque with preventing wheels from slip/locking. The performance of the MPC-based safety and stability controller is compared with the performance of the direct yaw moment controller. And the comparison among different types of powertrain configuration is made. Finally, the hardware-in-the-loop simulation (HiLS) is conducted to evaluate the performance of the proposed MPC-based vehicle safety and stability controller.