Showing papers in "Control Engineering Practice in 2016"

TL;DR: Based on the common Lyapunov functional approach and algebraic Riccati equation technique, an approach to design the formation protocol is presented in this paper, where an explicit expression of the formation reference function is derived to describe the macroscopic movement of the whole UAV formation.

TL;DR: In this paper, canonical correlation analysis (CCA)-based fault detection methods are proposed for both static and dynamic processes, which are applied to an alumina evaporation process, and the achieved results show that both methods are applicable for fault detection.

TL;DR: In this article, a semi-supervised data-driven approach is employed for fault detection and isolation that makes no use of a priori knowledge about abnormal phenomena for HVAC installations.

TL;DR: The results reveal that conventional trapezoidal stimulation intensity profiles may produce a safe foot lift, but often at the cost of too high intensities and an unphysiological foot pitch motion.

TL;DR: In this paper, an aircraft trajectory controller, which uses the Incremental Nonlinear Dynamic Inversion, is proposed to achieve fault-tolerant trajectory control in the presence of model uncertainties and actuator faults.

TL;DR: In this article, a nonlinear pitch angle controller (N-PI) is proposed to reduce the power captured above the rated wind speed and release the mechanical stress of the drive train.

TL;DR: In this paper, an adaptive observer based on sliding mode method is used to estimate the state of charge (SOC) and state of health (SOH) of the Li-ion battery.

TL;DR: In this article, a two-state thermal model describing the dynamics of the surface and the core temperature of a battery cell is proposed to diagnose thermal faults in Li-ion batteries.

TL;DR: In this paper, a new method for leak localization in water distribution networks (WDNs) is proposed, where residuals are obtained by comparing pressure measurements with the estimations provided by a WDN model, and a classifier is applied to the residuals with the aim of determining the leak location.

TL;DR: In this article, an iterative learning control law design for plants modeled by discrete linear dynamics using repetitive process stability theory is proposed. And the results from an experimental implementation are given, where the performance requirements include specifications over various finite frequency ranges.

TL;DR: In this article, an integrated vehicle and wheel stability control is developed and experimentally evaluated, which can be applied to a wide variety of vehicle driveline and actuation configurations such as: four, front and rear wheel drive systems.

TL;DR: A novel weighted adaptive recursive fault detection technique based on Principal Component Analysis (PCA) is proposed to address the issue of the increment in false alarm rate in process monitoring schemes due to the natural, slow and normal process changes (aging), which often occurs in real processes.

TL;DR: In this paper, the FOPI controller is designed using the frequency domain approach to maintain a constant level in the first tank while making the level of the second tank to follow a sinusoidal and square wave reference signal.

TL;DR: In this article, the authors proposed a microgrid structure which consists of a detailed photovoltaic (PV) array model, a solid oxide fuel cell (SOFC) and various loads.

TL;DR: A static convex hull-based PCA algorithm (SCHPCA) is proposed which replaces the traditional T2-based abnormality detection logic with the convex Hull-based abnormalities detection logic, and its moving window version, called the moving window conveX hull- based PCA algorithms (MWCH PCA) are proposed, respectively.

TL;DR: In this article, a model-based approach to detect and isolate non-concurrent multiple leaks in a pipeline is proposed, only using pressure and flow sensors placed at the pipeline ends, which relies on a nonlinear modeling derived from Water-Hammer equations, and related Extended Kalman Filters used to estimate leak coefficients.

TL;DR: In this paper, a cooperative adaptive cruise controller that controls vehicles along a planned route in a possibly hilly terrain, while keeping safe distances among the vehicles, is presented, which consists of two predictive layers that may operate with different update frequencies, horizon lengths and model abstractions.

TL;DR: In this paper, the authors present the application of control strategies for wastewater treatment plants with the goal of effluent limits violations removal as well as achieving a simultaneous improvement in effluent quality and reduction of operational costs.

TL;DR: Numerical experiments and an industrial case are given to show that the proposed procedure for the optimal design of industrial alarm systems based on evidence theory has a better performance than the classical design methods.

TL;DR: In this paper, a robust distributed model predictive control (RDMPC) based on linear matrix inequalities is proposed to solve a series of local convex optimization problems to minimize an attractive range for a robust performance objective by using a time-varying statefeedback controller for each control area.

TL;DR: In this paper, a model-based fault diagnosis scheme was proposed to detect and isolate the current, voltage and temperature sensor fault, which relies on the sequential residual generation using structural analysis theory and statistical inference residual evaluation.

TL;DR: Experimental results verify the benefits of ILC of its wide control bandwidth, enabling a faster, more linear, and more accurate scanning without a phase lag and a gain mismatch.

TL;DR: In this paper, an asymmetric relay autotuning with features such as a startup procedure and adaptive relay amplitudes is proposed for industrial air handling units, which is implemented and tested on an industrial air-handling unit.

TL;DR: In this paper, a model predictive control (MPC) based motion planning controller for automated driving on a motorway using a vehicle traffic simulator is presented, where the desired driving mode and a safe driving envelope are determined based on the probabilistic prediction of surrounding vehicles behaviors over a finite prediction horizon.

TL;DR: In this article, the power plant is divided into three transformation modules and, using conservation laws, a dynamic model is developed to describe each module within reasonable assumptions, numerous module equations are combined to yield a 6th-order nonlinear model.

TL;DR: An implementation of the sliding mode twisting controller on an electropneumatic plant for a tracking control problem and the analysis of the performance sustains the theoretical superiority of the implicitly discretized version.

TL;DR: In this article, the authors provide a tutorial view on airship path-tracking under wind disturbances, including the relevant aspects towards this objective, namely the airship modelling, the dynamics analysis over the flight envelope, and the step-by-step design of a gainscheduling control.

TL;DR: A new local alignment algorithm, based on the basic local alignment search tool (BLAST), which is much faster in computation and provides a higher alignment accuracy than the existing modified Smith–Waterman (SW) algorithm.

TL;DR: In this paper, the generalized isodamping technique was used to achieve the invariance of the control loop phase margin with respect to the plant operating point through a properly designed fractional-order proportional-integral-derivative controller.

TL;DR: In this article, a perturbation observer based sliding-mode control (POSMC) scheme for voltage source converter based high voltage direct current (VSC-HVDC) systems is proposed.