nuclear power reactors are, in nature nonlinear and time varying. these characteristics must be considered, if large power variations occur in their working regime. in this paper a robust optimal gain scheduling controller for regulating the power of a nuclear reactor has been designed and simulated. the proposed controller is capable of regulating power levels in a wide power range (10% to 100...

designing of a pid controller is a very common method for industrial process control and due to its very simple and efficient function; it is used in a wide variety of industrial applications. pid controller to reduce the steady state error and dynamic response of the system is used. pid controller design is an inevitable problem in setting the coefficients need to try a lot of trial and error,...

This paper introduces an approach to near timeoptimal control for synchronous buck dc–dc converters. The proposed proximate time-optimal digital (PTOD) controller is a combination of a constant-frequency pulsewidth modulation (PWM) controller employing a linear PID compensator close to a reference point, and a linear or nonlinear switching surface controller (SSC) away from the reference, toget...

in this paper, a novel approach for control of the dc-dc buck converter in high-power and low-voltage applications is proposed. designed method is developed according to state feedback linearization based controller , which is able to stabilize output voltage in a wide range of operation. it is clear that in high-power applications, parasitic elements of the converter may become comparable with...

Extremum Seeking Control (ESC) is a model-free adaptive control method to locate and track the optimal working point for nonlinear plants. However, as shown recently, traditional ESC methods may not work well for dynamic systems. In this thesis, we consider a novel ESC loop to locate the optimal operating point for both static and dynamic systems. Considering that the phase-lag of the system un...

We examine the fair allocation of capacity to a large population of best-effort connections in a typical multiple access communication system supporting some bandwidth on demand processes. Because of stringent limitations on the signalling overhead and time available to transmit and process information, it is not possible to solve the allocation globally to obtain the optimally fair allocation ...

Due to their powerful optimization property, genetic algorithms (GAs) are currently being investigated for the development of adaptive or self-tuning fuzzy logic control systems. This paper presents a neuro-fuzzy logic controller (NFLC) where all of its parameters can be tuned simultaneously by GA. The structure of the controller is based on the radial basis function neural network (RBF) with G...

In presented work, the new approach to the design of the near time optimal path following controller for manipulating robots (MR) is considered. We propose analytical algorithms forming procedure of controls, which account nonlinear, dynamical MR’s qualities and desired motion pattern. The proposed control algorithm and its structural realization allow to organize motion of MR's effector along ...