This paper describes the development of an anti-windup scheme for systems which consist of a parallel set of double integrators preceded by a static coupling element and a saturation nonlinearity. A class of anti-windup compensators are proposed which can guarantee global asymptotic stability of the origin of the closed-loop system. Simple linear-like guidelines for choosing the anti-windup com...

A new decoupling control structure is presented for complex industrial processes, which consists of a feedback controller, a decoupling compensator and a feedforward compensator for unmodeled dynamics. Using this structure, an intelligent decoupling control system is established which realizes an adaptive decoupling control strategy for industrial processes with integrated complexities by using...

This paper presents a new controller for the position of pneumatic actuator. The is designed based on multiple-surface sliding control method in combination with frictional compensator. applied to deal nonlinear characteristics system, and compensator compensate friction force estimated dynamic model (the LuGre model). Both simulation experimental studies are done evaluate controller. evaluatio...

this paper presents a delay compensator fuzzy control for trajectory tracking of omni-directional mobile robots. fuzzy logic control (flc) of the robots is a suitable strategy for dealing with model uncertainties, nonlinearities and disturbances.  on the other hand, in many robotic applications such as mobile robots, delay phenomenon is able to substantially deteriorate the behavior of system's...

Here in this paper we proposed an improved technique to reduce the power quality problems in Long distance AC transmission system with fuzzy logic controller (FLC). Large power systems are often suffered from weakly damped swings between synchronous generators. This paper aims to enhance the transient stability of the power system with the use of Distributed Static Series Compensator (DSSC).The...

The problem of output feedback stabilizability of multi-input-multi-output (MIMO) multidimensional (n-D) linear systems is investigated using n-D polynomial matrix theory. A simple necessary and sufficient condition for output feedback stabilizability of a given MIMO n-D linear system is derived in terms of the generating polynomials associated with any matrix fraction descriptions of the syste...

A feedforward control based on neural networks to attenuate the effect of external vibrations on the positioning accuracy of hard disk drives (HDDs) is presented. The adaptive neural network compensator utilises accelerometer signals to detect external vibrations. No information on the plant, sensor and disturbance dynamics is needed in the design of the adaptive neural network compensator. The...

In this paper, the dynamic behavior of a three-layer feedforward neural network as a uncertainty compensator for robotic control is investigated. The investigation is conducted in the context of the robot trajectory tracking problem, where the neural network (with the errorbackpropagation algorithm) is used as a uncertainty compensator in conjunction with the feedback linearizat ion control (i....

The reduction of high harmonic content in the grid side current is achieved by different harmonic compensating techniques. In order to accomplish it, selective harmonic compensation is carried out in grid-connected photovoltaic inverters by means of resonant harmonic compensators. The harmonic compensator shown in this paper is lead lag compensator. This paper shows a systematic design procedur...

A method for the design multivariable generalised predictive controllers based on the compensation of interactions is introduced. The design proceeds in two steps. In the first step, the interactions are ignored and single input single output generalised predictive controllers are designed for the resulting subsystems. In a second step, a fuzzy compensator of interactions acting feedforward pro...