Adaptive Control for Input-Constrained Linear Systems

作者：Park Bong Seok; Lee Jae Young; Park Jin Bae^*; Choi Yoon Ho

来源：International Journal of Control Automation and Systems, 2012, 10(5): 890-896.

DOI：10.1007/s12555-012-0504-4

• Adaptive control
• input constraints
• linear-quadratic regulator
• optimal control

This paper proposes a direct model reference adaptive control method for linear systems with unknown parameters in the presence of input constraints. First, we used the well-known linear quadratic regulator (LQR) technique to develop a modified reference model, which is the optimal model under input constraints. Second, a model reference adaptive controller, which tracked the modified reference model instead of the reference model, was designed to compensate for parametric uncertainties. Using Lyapunov stability theory, we proved that the modified reference model tracking error converges to zero. Simulation results demonstrate the effectiveness of the proposed controller.

• 出版日期2012-10