Showing papers in "Control Engineering Practice in 1997"

TL;DR: An introduction to the field of fault detection and diagnosis is given, which begins with a consideration of a knowledge-based procedure that is based on analytical and heuristic information, and different methods of Fault detection are considered, which extract features from measured signals and use process and signal models.

TL;DR: In this article, the observer-based fault detection and isolation problem with an emphasis on robustness and applications is studied, and a summary of the basic ideas behind the use of observers in generating diagnostic residual signals is provided.

TL;DR: Some schemes extending the well-known diagnosis methods for linear systems to the nonlinear case are considered and the robustness of these schemes in presence of unknown inputs is discussed.

TL;DR: In this article, the design of dynamic parity (consistency) relations for the detection and isolation of faults is described, both additive and multiplicative (parametric) faults are considered.

TL;DR: Fault-tolerant control is used in systems that need to be able to detect faults and prevent simple faults related to control loops from developing into production stoppages or failures at a plant level as discussed by the authors.

TL;DR: In this article, a new thrust-allocation scheme for rotatable azimuth thrusters is presented, which significantly reduces the fuel consumption for dynamic positioning of ships when rotatable zerosurface thrusters are used.

TL;DR: Further opportunities for oscillation detection in the off-line analysis of ensembles of data from control loops are examined and operational signatures that indicate the cause of an oscillation are presented.

TL;DR: Comparisons with a nonlinear predictive control scheme based on iterative numerical optimization show that the proposed method requires fewer computations and achieves better performance.

TL;DR: A summary of methods that can be applied to automatic fault diagnosis using fuzzy logic, and some of the ideas which have led to the emerging neuro-fuzzy algorithms are discussed.

TL;DR: In this paper, the authors present a ship propulsion system as a benchmark that should be useful as a platform for the development of new ideas and a comparison of fault detection and isolation methods.

TL;DR: In this article, a PI controller with dead-time compensation is described, which is based on a Smith predictor structure plus the addition of a filter acting on the error between the output and its prediction in order to improve robustness.

TL;DR: In this article, the authors investigated the use of GAs for optimization in nonlinear model-based predictive control, where advanced genetic operators and other new features were introduced to increase the efficiency of the genetic search in order to deal with real-time constraints.

TL;DR: In this paper, the authors examined the effects of power fluctuations on the control behavior of the power system, extensive experimental testing was carried out at wind power plant on a low mountain range in Germany and at a wind farm on the German coast, based on these studies, dynamic models for the decentralized simulation of wind speed, of the dynamic behavior of individual wind power plants and of entire wind farms were developed and parameterized.

TL;DR: In this paper, a sub-optimal approach for traffic control by means of speed signalling and ramp-metering has been proposed by using a suboptimal optimization procedure based on the Montecarlo paradigm.

TL;DR: In this paper, a method of feedback linearization is applied to a pneumatic actuator system to handle the nonlinearities in the valve, compliance variation and generating force.

TL;DR: The use of SEVA principles in the interpretation of data from biomedical instrumentation is proposed in order to aid the decision-making process, particularly in critical care.

TL;DR: In this article, the performance of several types of input shapers is compared to the time-optimal flexible-body control in terms of maneuver speed, amplitude of transient deflection, robustness to modeling errors, excitation of unmodeled high modes, and ease of implementation.

TL;DR: An on-line adaptive calibration and control scheme is developed, along with an associated stability and convergence theorem, and a redundancy-based refinement of this scheme is proposed and demonstrated via simulation.

TL;DR: In this paper, the structure and the parameters of the climate discrete-time dynamic model were previously identified using data acquired during two different periods of the year and several experiments showed that the second-order models identified achieve a close agreement between simulated and experimental data.

TL;DR: In this article, the authors proposed two techniques for designing the feed-forward controller of a magnetic disk drive: an infinite impulse response filter that is designed off-line and a finite impulse response filtering that is adapted on-line using the filtered-x LMS algorithm.

TL;DR: In this article, a fluidized bed reactor was used for the anaerobic digestion of wine distillery wastewater and the capability of fuzzy logic to control this process was demonstrated, where the output gas flow rate and the pH in the liquid phase were used as input parameters of the control and the input flow rate was used as the control variable.

TL;DR: In this article, the authors present the model and the simulation environment developed for and currently used by Magneti Marelli in order to characterize new throttle bodies, and to design the associated control algorithms.

TL;DR: In this article, a decay exponential is proposed to modify the process input and output, so that the process frequency response can be identified with the help of FFT, which can be easily applied to PID auto-tuning and to transfer function modelling.

TL;DR: In this paper, the authors present a methodology for the design of the R-S-T controller, which involves identification of the plant model from data, combined with a robust control design.

TL;DR: Given the trajectory of the end-effector of the manipulator, near-optimal trajectories for the mobile platform and manipulator joints are obtained by using an efficient genetic algorithm with torque and manipulability optimisation and obstacle avoidance.

TL;DR: In this paper, an active suspension system for motor coaches using a "skyhook" damper and fuzzy logic control is described by a nonlinear system with six degrees of freedom, subject to excitation from a road surface.

TL;DR: In this article, a generic model and interface for self-validating actuators is proposed, which can compensate for non-linearities and fault conditions of actuators, and a new generation of smart actuators have self-diagnostic capabilities.

TL;DR: In this article, different types of advanced feedback control strategies have been implemented and compared, including conventional control, model-based control and fuzzy control, and a feedforward strategy based on radiation pyrometry and adaptive filtering has been used successfully to improve the stability and availability of a power plant.