2 research outputs found
Artificial Delay Based ARC of a Class of Uncertain EL Systems with Only Position Feedback
In this paper, the tracking control problem of an Euler-Lagrange system is
addressed with regard to parametric uncertainties, and an adaptive-robust
control strategy, christened Time-Delayed Adaptive Robust Control (TARC), is
presented. TARC approximates the unknown dynamics through the time-delayed
estimation, and the adaptive-robust control provides robustness against the
approximation error. The novel adaptation law of TARC, in contrast to the
conventional adaptive-robust control methodologies, requires neither complete
model of the system nor any knowledge of predefined uncertainty bounds to
compute the switching gain, and circumvents the over- and underestimation
problems of the switching gain. Moreover, TARC only utilizes position feedback
and approximates the velocity and acceleration terms from the past position
data. The adopted state-derivatives estimation method in TARC avoids any
explicit requirement of external low pass filters for the removal of
measurement noise. A new stability notion in continuous-time domain is proposed
considering the time delay, adaptive law, and state-derivatives estimation
which in turn provides a selection criterion for gains and sampling interval of
the controller
A Novel Sliding Mode Control for a Class of Affine Dynamic Systems
This paper proposes a novel sliding mode control (SMC) method for a class of
affine dynamic systems. In this type of systems, the high-frequency gain matrix
(HFGM), which is the matrix multiplying the control vector in the dynamic
equation of the sliding variables vector, is neither deterministic nor positive
definite. This case has rarely been covered by general SMC methods, which
perform well under the condition that the HFGM is certain or uncertain but
positive definite. In this study, the control law is determined by solving a
nonlinear vector equation instead of the conventional algebraic expression,
which is not applicable when the HFGM is uncertain and non-positive definite.
Theorems with some relaxed system parametric uncertainty assumptions are
proposed to guarantee the existence and uniqueness of the solution, and proofs
of them, based on the principle of the convex cone set, are given in the text.
The proposed control strategy can be easily applied in practice, and the
chattering caused by the discontinuous control can be suppressed, as it can in
general SMCs. The proposed controller was used in two affine dynamic systems,
and the simulation results demonstrate its effectiveness