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Art of electronics

http://ieeexplore.ieee.org/iel5/5/31324/01456901.pdf

Microelectronic circuits

Research and development on high-speed railway systems and particularly its automatic control systems, are introduced. Numerical modeling of high-speed trains in the Chinese high-speed train system and its associate automatic control systems are described in detail. Moreover, modeling and simulation of train operation systems are analyzed and demonstrated.

Automatic Train Control System Development and Simulation for High-Speed Railways

In this paper, semi-active H∞ control with magnetorheological (MR) dampers for railway vehicle suspension systems to improve the lateral ride quality is investigated. The proposed semi-active controller is composed of a H∞ controller as the system controller and an adaptive neuro-fuzzy inference system (ANFIS) inverse MR damper model as the damper controller. First, a 17-degree-of-freedom model for a full-scale railway vehicle is developed and the random track irregularities are modelled. Then a modified Bouc–Wen model is built to characterise the forward dynamic characteristics of the MR damper and an inverse MR damper model is built with the ANFIS technique. Furthermore, a H∞ controller composed of a yaw motion controller and a rolling pendulum motion (lateral motion+roll motion) controller is established. By integrating the H∞ controller with the ANFIS inverse model, a semi-active H∞ controller for the railway vehicle is finally proposed. Simulation results indicate that the proposed semi-active suspen...

Semi-active H∞ control of high-speed railway vehicle suspension with magnetorheological dampers

This paper proposes a novel method for designing robust nonlinear multivariable predictive control for nonlinear active suspension systems via the Takagi-Sugeno fuzzy approach. The controller design is converted to a convex optimization problem with linear matrix inequality constraints. The stability of the control system is achieved by the use of terminal constraints, in particular the Constrained Receding-Horizon Predictive Control algorithm to maintain a robust performance of vehicle systems. A quarter-car model with active suspension system is considered in this paper and a numerical example is employed to illustrate the effectiveness of the proposed approach. The obtained results are compared with those achieved with model predictive control in terms of robustness and stability.

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A Robust Predictive Control Design for Nonlinear Active Suspension Systems

A novel approach to the design of model predictive control is proposed, using mixed H 2/H infin design method for time invariant discrete-time linear systems. The controller has the form of state feedback, satisfies quadratic input and state constraints and is constructed from the solution of a set of feasibility linear matrix inequalities. The control law takes account of disturbances naturally. A numerical example demonstrates the applicability of the algorithm.

Model Predictive Control based on Mixed H2/H Control Approach

This paper investigates the application of model predictive control technology based on mixed H2/H-inf control approach for active suspension control of a railway vehicle, the aim being to improve the ride quality of the railway vehicle. Comparisons are made with more conventional control approaches, and the applicability of the linear matrix inequality approach is illustrated via the railway vehicle example

Model predictive control based on mixed ℋ2/ℋ∞ control approach for active vibration control of railway vehicles

High Capacity Data Rate System: Review of Visible Light Communications Technology

The fault current levels of an interconnected power network have witnessed a general rise due to increase in power demand. This rise in fault current if not properly mitigated may exceed the maximum ratings of the switchgear. Many conventional protective devices such as series reactors, fuses, high impedance transformers, etc. have high cost, increased power loss and loss of power system stability, which may ultimately cause lower reliability and reduced operational flexibility. Superconducting Fault Current Limiter (SFCL) is a flexible alternative to the use of conventional protective devices, due to its effective ways of reducing fault current within the first cycle of fault current, reduced weight and zero impedance during normal operation. This paper reviews various concepts of SFCLs and its applications in power systems.

Application of Superconducting Fault Current Limiter (SFCL) in Power Systems: A Review

Model Predictive Control (MPC) has developed considerably over the last two decades, both within the research control community and in industries. MPC strategy involves the optimization of a performance index with respect to some future control sequence, using predictions of the output signal based on a process model, coping with constraints on inputs and outputs/states. In this paper, we will present an introduction to the theory and application of MPC with Matlab codes written to simulate an example of a randomly generated system. This paper can serve as tutorial to anyone interested in this area of research.

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P.E. Orukpe

Papers

Model Predictive Control based on Mixed H2/H Control Approach

Model predictive control based on mixed ℋ2/ℋ∞ control approach for active vibration control of railway vehicles

High Capacity Data Rate System: Review of Visible Light Communications Technology

Application of Superconducting Fault Current Limiter (SFCL) in Power Systems: A Review

Model predictive control fundamentals