Optimal Control of a Differentially Flat 2D Spring-Loaded Inverted Pendulum Model
This work addresses control challenges in legged robotics by enhancing SLIP models for improved gait performance, representing an incremental advancement in domain-specific applications.
The paper tackles the optimal control problem for an extended spring-loaded inverted pendulum (SLIP) model with additional actuators, developing a tractable strategy that enables online solution and active disturbance rejection, showing significant advantage over existing methods in numerical tests.
This paper considers the optimal control problem of an extended spring-loaded inverted pendulum (SLIP) model with two additional actuators for active leg length and hip torque modulation. These additional features arise naturally in practice, allowing for consideration of swing leg kinematics during flight and active control over stance dynamics. On the other hand, nonlinearity and the hybrid nature of the overall SLIP dynamics introduce challenges in the analysis and control of the model. In this paper, we first show that the stance dynamics of the considered SLIP model are differentially flat, which has a strong implication regarding controllability of the stance dynamics. Leveraging this powerful property, a tractable optimal control strategy is developed. This strategy enables online solution while also treating the hybrid nature of the SLIP dynamics. Together with the optimal control strategy, the extended SLIP model grants active disturbance rejection capability at any point during the gait. Performance of the proposed control strategy is demonstrated via numerical tests and shows significant advantage over existing methods.