This paper proposes a novel robust control scheme based on delay-dependent H∞for unified power quality conditioner (UPQC) in a microgrid under the influence of the delay and parameter uncertainties. A new UPQC model considering the effects of the delay and parameter uncertainties is established. Then, the H∞ controller is designed based on the cone complementarity linearization (CCL) algorithm....

This paper presents a development of a self-tuning fuzzy PID controller to overcome the appearance of nonlinearities and uncertainties in the system. The self-tuning fuzzy PID controller is the combination of a classical PID and fuzzy controller. The controller is designed based on the expert knowledge of the system. Fuzzy logic is used to tune each parameter of PID controller. Appropriate fuzz...

Robustness issue is considered to be one of the major concerns in application of the iterative learning control in motion control systems. The robustness in servo systems is related to parameter uncertainties and noise accumulation. In this paper, both parameter uncertainties and noise are considered in derivation of the error dynamic equation of the ILC algorithm. Based on the error dynamics, ...

This paper is concerned with a set-point servo problem for MIMO systems with P·SPR·D control. The P·SPR·D control is constructed by introducing a SPR (strict positive real) element instead of the I element in PID control. The purpose is to design a P·SPR·D controller for aysmptotic stabilization and to adjust P, SPR, D parameter matrices for improving convergence speed of responses under guaran...

A new control approach to position synchronization of multiple motion axes is developed, by incorporating cross-coupling technology into adaptive control design. The strategy is to stabilize position tracking of each axis while causing differential position errors between each axis and the other two axes converge to zero. If motions of every pair of axes are synchronized, motions of all axes ar...

A regressor-based variable structure control scheme has been developed for the trajectory control of robot manipulators in the presence of disturbances, parameter variations, and unmodeled dynamics. The method is based on the regressor structure given by Slotine and Li, 131, without parameter adaptation. This avoids the requirement of persistency of excitation, and the convergence of the overal...

An observer-based adaptive iterative learning control (AILC) scheme is developed for a class of nonlinear systems with unknown time-varying parameters and unknown time-varying delays. The linear matrix inequality (LMI) method is employed to design the nonlinear observer. The designed controller contains a proportional-integral-derivative (PID) feedback term in time domain. The learning law of u...

In this paper we study the algebraic Riccati equation corresponding to the guaranteed cost control theory for an uncertain singularly perturbed system. The construction of the controller involves solving the full-order algebraic Riccati equation with small parameter ε. Under control-oriented assumptions, we first provide the sufficient conditions such that the full-order algebraic Riccati equat...

This paper is concerned with regulator problem for MIMO systems with P·quasi-I·D control. The P·quasi-I· D control is constructed by modifying the integral operation of the PID control. The purpose is to design a P · quasiI · D controller for aysmptotic stabilization and to adjust PID parameter matrices for improving convergence speed of responces under guaranteeing the stability. In our method...