Showing papers in "Control Engineering Practice in 2005"

TL;DR: In this paper, an original concept to convert the electrical power flow into equivalent hydrogen cost is proposed, and the previously developed control strategy is used to determine the real-time optimal power distribution by simple minimization of a univariate form.

TL;DR: In this paper, a review of the existing approaches based on linear and nonlinear control theory (with particular emphasis on periodic control) is proposed and a solution to the problem in terms of model-based predictive control is presented and analyzed.

TL;DR: In this article, the authors proposed a data-driven model of stiction, which can be directly related to real valves in the process industry and validated the simulation results generated using the proposed model with that from a physical model of the valve.

TL;DR: In this paper, the authors considered trajectory planning with given design constraints and design of a feedforward controller for single-axis motion control and showed that the fourth-order trajectory planning is time-optimal in most relevant cases.

TL;DR: In this article, a neural-based soft sensor was designed to improve product quality monitoring and control in a refinery by estimating the stabilized gasoline concentration (C5) in the top flow and the butane (C4) concentration in the bottom flow of a debutanizer column, on the basis of a set of available measurements.

TL;DR: In this article, an optimal control structure for variable speed fixed pitch wind turbines is presented, defined by the tradeoff between the energy conversion maximization and the control input minimization that determines the mechanical stress of the drive train.

TL;DR: In this article, a linear parameter varying (LPV) control technique was proposed for position-dependent controllers that adapt themselves in order to achieve optimal closed-loop performance in IC-manufacturing.

TL;DR: In this paper, a linear parameter varying (LPV) controller is proposed for variable-speed WECS control with the following objectives: conversion efficiency maximization, safe operation, resonant modes damping, and robust stability.

TL;DR: In this article, the authors present a systematic development of fault detection and diagnosis methods for two system components of Diesel engines, the intake system and the injection system together with the combustion process.

TL;DR: In this article, an Extended Kalman Filter (EKF) approach was used to estimate muscle dynamics parameters and to obtain full state estimates of the shank-quadriceps dynamics simultaneously.

TL;DR: In this paper, the authors present experimental investigations into the development of feedforward and feedback control schemes for vibration control of a very flexible and high-friction manipulator system, based on input shaping and low-pass filtering techniques and a strain feedback control scheme.

TL;DR: In this paper, the authors presented an application of H ∞ fault detection and isolation (FDI) to the longitudinal motion of a Boeing 747-100/200 aircraft to detect and isolate faults in the elevator actuator and pitch rate sensor while attenuating the effect of disturbances and noise on the fault signals.

TL;DR: In this article, a set of nonlinear backstepping techniques is developed for the state-coupled, two-tank, liquid level system dynamics with continuous trajectories.

TL;DR: In this article, the authors summarized ongoing developments for mechatronic systems, showed design approaches and examples of mechatronics products and considered various embedded control functions and system's integrity.

TL;DR: In this paper, a methodology based on a classical hydraulic model (Saint-Venant equations) is proposed to design efficient automatic controllers for an irrigation canal pool, which is applied on a laboratory canal located in Portugal.

TL;DR: In this article, a robust linear controller for an active suspension mounted in a quarter car test-rig is presented, which does not require a (nonlinear) physical model of either the car or the shock-absorber.

TL;DR: In this article, a sliding mode observer of vehicle sideslip angle is presented, which is the principal variable relating to the transversal forces at the tire/road interface, and relations between this variable and observation error, vehicle speed and tire cornering stiffness are presented.

TL;DR: In this article, NARMAX and neural network representations are shown to be suitable for modeling a gas turbine engine and the models then provide the basis for the model-based control strategies, and the results illustrate the improvements in control performance that can be achieved to that of gain-scheduling PID controllers.

TL;DR: In this paper, the authors presented a practical approach to combine model-based fault detection with an adaptive threshold for condition monitoring of a non-linear electro-hydraulic plant.

TL;DR: In this article, a real-time nonlinear adaptive speed control scheme based on backstepping control technique is proposed for a permanent magnet synchronous motor, which can track the speed reference signal generated by a reference model successfully under parameter uncertainties and load torque disturbance.

TL;DR: In this article, the authors present formulations and experimental evaluations of various MPC schemes applied to a realistic full envelope non-linear model of a fighter aircraft and investigate a variety of scenarios of fault and disturbance combinations along with modified and robust formulations of online constrained optimization.

TL;DR: In this article, an adaptive control scheme is proposed to reduce force ripple effects impeding motion accuracy in Permanent Magnet Linear Motors (PMLMs) by using a Fast Fourier Transform (FFT) analysis.

TL;DR: This article deals with the application of a new fuzzy modelling technique that automatically organizes the sets of fuzzy IF–THEN rules in a Hierarchical Collaborative Structure, which makes the fuzzy model interpretable as in the case of the physical model.

TL;DR: In this article, a predictive functional control strategy based on a simplified dynamic model is implemented for the H4 robot, a fully parallel structure providing 3 degrees of freedom (dof) in translation and 1 dof in rotation.

TL;DR: In this paper, the authors deal with fault detection and isolation (FDI) of smart actuators combining the benefits of bond graph modelling with external models, and they use the integration of the bond graph methodology as a graphical and multi-disciplinary modelling tool quantifying the services by associating one or more bond graph elements to each service.

TL;DR: In this paper, a model-based predictive control technology for boiler control is proposed to enable tight dynamical coordination of selected controlled variables, particularly the coordination of air and fuel flows during transients.

TL;DR: There has been a rapid increase recently in the number of software packages available to generate different types of perturbation signals for the purpose of system identification in the frequency domain this paper.

TL;DR: A generalized synchronization controller for multi-axis motion systems is developed by incorporating cross-coupling technology into the optimal control architecture and results show that the proposed approach is effective.

TL;DR: A new recursive algorithm, which models a multivariable, time-varying and nonlinear system, is presented and fuzzy c-means and fuzzy Takagi–Sugeno modeling are used to decompose the non linear system into several linear subsystems.

TL;DR: In this article, the authors presented a dynamic optimization study of a small basin wastewater treatment plant to determine optimal sequences of aeration/non-aeration times so that for a typical diurnal pattern of disturbances, the effluent constraints are respected, the plant remains in the cyclic steady-state, and the energy consumption is minimised.