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One of the major challenges in industrial process control is to deal with nonlinearities in the plants. There have been a significant amount of research efforts towards design and development of appropriate, reliable and promising control techniques to deployed on real-time industrial applications. Some of the widely used and acknowledged control methods lack in terms of tuning unknown system parameters...
Nonlinear behaviour of the systems happens to be a common problem in industrial processes. They cause a large amount of time, resources and efforts to be utilized in order to deal with them. A Major hurdle in Nonlinear Industrial Processes is system modeling. Due to this reason, several methods and techniques have been designed and developed in order to improve the overall control performance in industrial...
In this article, a steering control algorithm for the nonholonomic mechanical system is presented, which is based upon adaptive sliding mode control for nonholonomic mechanical systems. The control and adaptive laws are derived using a combination of Hurwitz sliding surface and Lyapunov stability theory. These control laws result in closed loop stability. The proposed algorithm is applied to the nonholonomic...
This paper presents a 1kW power system model which consists of a boost converter fed by a stand-alone proton exchange membrane (PEM) fuel cell stack. A generic model of H- 1000 fuel cell stack is built with max voltage error ±1V as well as a dynamic model of the boost converter. The output voltage level of this power system is controlled by an adaptive fuzzy logic controller. the contribution in this...
Controllers are designed to regulate output voltage and improve dynamic performance of dc–dc converter to variable supply voltage, load current or circuit element variation. Conventional controller like PID has narrow dynamics that limit its application to quiescent supply input voltage and load current change. Recent research efforts are exploiting state of the art power electronics devices and high...
This paper proposes Fuzzy Logic Controller scheme in sensorless (PMSM) drives based on fundamental excitation. Fuzzy Logic Control (FLC) is suitable for a controller design when the system is difficult to model mathematically due its complexity, nonlinearity and imprecision. Especially for sensorless drives of PMSM which uses the complex estimator's equations and adaptation mechanism. Fuzzy Logic...
Nowadays the studies of diesel generators are limited to present mechanical dynamic of the process or the electrical one, this is due to the complexity and the high no linearity of the DG. This paper gives a revue of different model which can describe the total dynamic process of the diesel generator. Then a developed model is proposed to study the interaction between the mechanical and electrical...
Controlling underwater glider brings a unique challenge for control engineers and academic researcher. The dynamics, nonlinearity and multivariable nature of glider plus the highly turbulent underwater disturbances has disregarded many effective control techniques. The Internal Model Control (IMC) structure, where the controller implementation includes explicit model of the plant has shown to be very...
In this paper, a speed-sensorless direct torque control (DTC) drive for induction motor (IM) is developed using three-level inverter and a comprehensive study is presented. Firstly, three-level neutral-point clamped (NPC) inverter is handled and the switching vectors used in DTC based on switching table are defined. Second, the adaptive flux observer is utilized to estimate the rotor speed and load...
This paper presents an implementation of Multiple Generalized Predictive Control (MGPC) based a Neuro-fuzzy model to control a real time gaseous nonlinear process. Firstly, a Neuro-fuzzy model, which describes the dynamic characteristics of the process is identified and optimized. Because the consequent part of the identified Neuro-fuzzy model is represented as a form of several Auto-Regressive Exogenous...
In recent years, the increase in time-based competition has put pressure on managers to reduce the costs of warehouse design and management activities. It is important to determine the most profitable storage location assignment policy to be implement in the warehouse since it influence almost all the warehouse performance. Hence, the objective of this research is minimizing total handling cost using...
pH neutralization process is considered as a difficult control problem, because of its high nonlinearity dynamics, time-varying properties and its sensitivity to changes around the neutralization point. Therefore, there is a need to design a robust control algorithm to handle this problem. In this paper a preliminary investigation into application of feedback linearization in the dynamic modeling...
This paper presents a new approach to deal with the nonlinearity of control system by using Multi Model Predictive Control (MPC) strategies. The idea of this research is using Fuzzy model to divide the nonlinear system into several sub linear systems which can be applied linear MPC controller. Firstly, the structure of Takagi-Sugeno (T-S) Fuzzy model is developed and optimized using Subtractive Clustering...
This paper presents the hardware implementation of sensorless speed control of Permanent Magnet Synchronous Motor (PMSM) drives using dSPACE DS1103 board. dSPACE Real-Time Interface (RTI) is the link between software and hardware development. It automatically implements the MATLAB/Simulink model on the dSPACE Expansion Box. The simplified mathematical model of the PermanentMagnet Synchronous Motor...
This paper presents a method of controlling the air-to-fuel ratio (AFR) based upon an adaptively estimated biodiesel fuel content for a diesel engine equipped with the lean NOx trap (LNT) aftertreatment system. The fuel content (or percentage of biodiesel fuel) is estimated by an adaptive estimation scheme based upon the exhaust oxygen sensor signal during the normal engine operations and during the...
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