Aiming at the uncertainty of model parameters and dominate time delay of the controlled object in feed water system of boiler, combined with improved Smith predictor control method and fuzzy immune PID control method, improved Smith predicting controller based on fuzzy immune is designed. Fuzzy Immune PID controller can self-tune parameters, and has adaptive capacity to the diversification of c...

Abstract: This paper presents a new method for a PID-control design in which the PID-control loop is represented as an equivalent one to a control loop operating with an optimized PI-controller and a Smith predictor. It requires the nearest approximation of the power plant process description and the dead-time transfer function. The presented method is based on the PID-controller transfer funct...

In this paper, a new approach to design a robust gain scheduled linear parameter varying (LPV) PID controller with pole placement constraints (through LMI regions) is proposed for LPV systems with second order structure and time-varying delay. The controller structure includes a Smith predictor, real time estimated parameters that schedule the controller and Smith predictor (using the known par...

Networked control system is essentially a closed loop system with a plant and controller, with the plant located in a remote area and controlling done through data communication networks. This depicts a nonlinear plant with stochastic time delay. This paper offers comparison of three models one of which is a novel method. Fuzzy logic controller is the best option amongst the conventional contro...

The pH control is a difficult problem. This is due to the strong nonlinearity and extreme sensitivity to disturbances in the neighborhood of the neutrality point. A Fuzzy Sliding Mode Controller (FSMC) which combines a Variable Structure Control with sliding modes (VSC) and the fuzzy logic theory to adjust the controller gains, for pH control (neutralization and regulation), is presented in thi...

In this paper, a new approach to design gain scheduled robust linear parameter varying (LPV) PID controllers with pole placement constraints (through LMI regions) is proposed for LPV systems with second order structure and time-varying delay. The controller structure includes a Smith predictor, real time estimated parameters that schedule the controller (including the known part of the delay) a...

Digital control experiments are important parts of electrical engineering course in modern electrical schools. A virtual digital control experimental system is developed for undergraduates to learn digital control principals and to practice online. Based on the digital control hardware experiment platform, the practical circuit model is developed. And some digital control algorithms are employe...

Industry control processes presents many challenging problems, including non-linear or variable linear dynamic behaviour, variable time delay that means time varying parameters. One of the alternatives to handle with time delay systems is to use prediction technique to compensate the negative influence of the time delay. Smith predictor control (SPC) is one of the simplest and most often used s...

Using H∞ control, the design problem is formulated in terms of user defined weighting polynomials on the process closed-loop Sensitivity functions to achieve desired closed-loop performance and robust stability in the presence of process modelling error. In this paper stability conditions , in terms of the process sensitivity functions, are derived for processes containing a pure time delay for...

In this paper, a Perceptual Motor Control Model(PMCM) based on output feedback adaptive control theory is considered from the viewpoint of voluntary movement such as hand-tracking control. We give an account of the PMCM structure using together with both of the output feedback controller designed by using an almost strict positive real characteristics for the controlled plant and the Smith pred...