Author_Institution :
Dept. of Electr. Eng., CINVESTAV-IPN, Mexico City, Mexico
Abstract :
This article describes the design of a linear robust dynamic output feedback control scheme for output reference trajectory tracking tasks in a leader-follower non-holonomic car formation problem using the cars´ kinematic models. A simplification is proposed on the follower´s exact open loop position tracking error dynamics, obtained by flatness considerations, resulting in a system described by an additively disturbed set of two, second order, integrators with non-linear velocity dependent control input matrix gain. The unknown disturbances are modeled as absolutely bounded, additive, unknown time signals which may be locally approximated by arbitrary elements of, a, fixed, sufficiently high degree family of Taylor polynomials. Linear Luenberger observers may be readily designed, which include the, self updating, internal model of the unknown disturbance input vector components as generic time-polynomial models. The proposed Generalized Proportional Integral (GPI) observers, which are the dual counterpart of GPI controllers ([11]), achieve a, simultaneous, disturbance estimation and tracking error phase variables estimation. This, on-line, gathered information is used to advantage on the follower´s linear output feedback controller thus allowing for a simple, yet efficient, disturbance and control input gain cancelation effort. The results are applied to control the fixed time delayed trajectory tracking of the leader path on the part of the follower. Simulations are presented which illustrate the robustness of the proposed approach.
Keywords :
automobiles; control system synthesis; feedback; mobile robots; multi-robot systems; nonlinear control systems; observers; open loop systems; polynomials; position control; robot dynamics; robot kinematics; robust control; Taylor polynomial; car kinematic models; control input gain cancelation; controlled leader-follower formation; disturbance cancellation; fixed time delayed trajectory tracking; generalized proportional integral observer; generic time-polynomial model; integrator; linear Luenberger observer; linear robust dynamic output feedback control design; nonholonomic car; nonlinear velocity dependent control input matrix gain; open loop position tracking error dynamics; output reference trajectory tracking task; simultaneous disturbance estimation; tracking error phase variable estimation; Lead; Observers; Polynomials; Robot kinematics; Tracking loops; Trajectory;