本研究主要為發展輪式倒單擺機器人之系統鑑別，並藉由鑑別出的系統設計準確的控制器，進而提升系統的控制性能。由於本研究所使用的輪式倒單擺機器人的具有不穩定的平衡點，故本研究採用一種本實驗室改良的閉迴路鑑別的方法，有別於開迴路系統鑑別，可以在使用控制器讓系統保持平衡的同時鑑別系統動態，而且此方法還可以直接鑑別出參數化的系統模型。由於此方法只是於單輸入單輸出的系統，故本研究將在平衡點線性化後的系統簡化成內部及外部關於俯仰角及輪速的控制迴路分別鑑別，並別分設計控制器。透過上述的方法，本研究確實鑑別出理論系統輸出和真實輸出更接近的系統，並驗證了鑑別出的系統有滿足使參數正確收斂的條件，並在重新設計控制後提升控制性能。

This study focuses on the development of system identification for a wheeled inverted pendulum robot and aims to enhance the control performance by designing an accurate controller based on the identified system. As the wheeled inverted pendulum robot used in this study has an unstable equilibrium point, a modified closed-loop identification method developed in our laboratory is employed. Unlike open-loop system identification, this method allows for the identification of system dynamics while using a controller to maintain system balance.Moreover, this approach can directly identify parameterized system models. Since this method is applicable only to single-input-single-output systems, the study splits the system into internal and external loops concerning pitch angle and wheel speed after linearization around the equilibrium point. The identification and controller design are performed separately for these loops. Through these methods, the study successfully identifies a system that closely matches the theoretical system output with the real output. The identified system is verified to meet the conditions for accurate parameter convergence. After the redesign of the controller, there is an improvement in control performance.

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