Showing papers in "Control Engineering Practice in 2009"

TL;DR: Application of fractional order PID (FOPID) controller to an automatic voltage regulator (AVR) is presented and it is shown that the proposed FOPID controller can highly improve the system robustness with respect to model uncertainties.

TL;DR: In this paper, the estimation process is based on two blocks in series: the first block contains a sliding-mode observer whose principal role is to calculate tire-road forces, while in the second block an extended Kalman filter estimates sideslip angle and cornering stiffness.

TL;DR: In this article, a full-range adaptive cruise control (ACC) system with collision avoidance (CA) is proposed to improve drivers' comfort during normal, safe-driving situations and to completely avoid rear-end collision in vehicle-following situations.

TL;DR: In this paper, a unique dynamic disturbance decoupling control (DDC) strategy, based on the active disturbance rejection control (ADRC) framework, is proposed for square multivariable systems.

TL;DR: In this paper, a rapid calibration procedure for identifying the parameters of a dynamic model of batteries for use in automotive applications is described, which is a phenomenological model based on an equivalent circuit model with varying parameters that are linear spline functions of the SoC.

TL;DR: Simulation results in cluttered and dynamic environments show that the modified parallax method effectively reflects the threat of the obstacles to the UGV considering the dimension and state variables of the vehicle, showing clear improvements over the distance-based methods.

TL;DR: In this paper, an iterative learning control scheme was used to apply functional electrical stimulation to the triceps of unimpaired subjects in order to perform trajectory tracking tasks, where a robotic workstation is used to constrain their movement, impose known dynamics at the point of interaction with the robot and provide assistive torque about the shoulder.

TL;DR: In this paper, a new kind of volume control servo hydraulic press driven directly by Switched Reluctance Motor (SRM) is presented, where a fuzzy PID control method is introduced to improve the overall performance of the electro-hydraulic position servo system.

TL;DR: In this article, a steering assistance system is designed and experimentally tested on a prototype passenger vehicle to avoid lane departures when the driver has a lapse of attention, based on a concept linking Lyapunov theory with linear matrix inequalities optimization.

TL;DR: In this paper, a multivariate fault prognosis approach for continuous processes with hidden faults is proposed based on statistical process monitoring methods and multivariate time series prediction, where the fault is a slowly time-varying autocorrelated process and can be completely reconstructed.

TL;DR: In this paper, an observer-based backstepping controller for force control of a single-rod electro-hydraulic actuator is proposed to guarantee the convergence of the tracking error.

TL;DR: In this paper, an algebraic relationship between the vehicle sidelip angle and the road bank angle is proposed to identify the uncertain vehicle parameters using the sensor measurements such as the steering angle, the lateral acceleration and the yaw rate.

TL;DR: Two different methods for the control over a network, adaptive Smith predictor approach and robust control based approach, which are imposed by the accessible information about the network are proposed.

TL;DR: In this paper, a model-based predictive control theory is used for the design of motion rendering strategies in a high-performance automotive driving simulator, where actuator constraints are always respected, and the use of motion workspace is maximized during simulations.

TL;DR: In this paper, the use of finite-state model-predictive controllers for current control of multi-phase machines is investigated, which consists of a predictive model and an exhaustive optimizer that minimizes a predefined cost function for the next sampling period.

TL;DR: In this article, the authors propose extensions to the logical foundation of fault trees that enable use of these dynamic gates in an extended and more powerful fault tree analysis, which can capture the potentially critical significance of the temporal ordering of failure events in a system.

TL;DR: In this paper, a second order discrete sliding mode control (2-DSMC) approach is proposed for the temperature control of a chemical reactor, which resolves the chattering problem while ensuring good robustness of the closed loop system behavior.

TL;DR: A hierarchical concept for economic optimal greenhouse climate management is derived and discussed in view of application in horticultural practice and is able to deal with rapidly fluctuating deterministic external inputs or disturbances acting on the fast sub-processes.

TL;DR: In this paper, a novel predictive control scheme for a Series-Parallel hybrid bus is presented, which uses information from GPS together with a data record of the driving along the bus route to schedule the charging and discharging of the energy storage system.

TL;DR: In this article, a model predictive control (MPC) has been developed using the compressor motor voltage to manipulate the air flow rate entering the fuel cell to control the oxygen excess ratio.

TL;DR: Based on the hysteresis model, an adaptive inverse control approach is presented in this article for reducing the HOS of piezoelectric actuators, where the weights of the main HOS loop are identified by using least mean square (LMS) algorithm.

TL;DR: In this paper, an NMPC of a supermarket refrigeration system is presented, which is a hybrid process involving switched nonlinear dynamics and discrete events, on/off manipulated variables (valves and compressors), continuous controlled variables (goods temperatures) and several operation constraints.

TL;DR: In this paper, a sliding mode predictive control (SMPC) was applied to an air conditioning solar plant to handle set point changes and disturbance rejection, which showed a considerable robustness improvement with respect to MPC under experimental validation on a real plant.

TL;DR: In this paper, a probabilistic contribution analysis method based on the concept of missing variable is proposed to facilitate the diagnosis of the source behind the detected process faults, which can reduce the ambiguity with regard to identifying the process variables that contribute to process faults.

TL;DR: In this paper, a comparison study and analysis of thruster shaft speed, torque, and power controllers is presented, showing that significant reductions in thrust, torque and power fluctuations can be achieved.

TL;DR: In this paper, the authors proposed a Gaussian radial basis function (RBF) neural network for nonlinear predictive control of a thermal power plant with a single-input single-output (SISO) RBF-ARX model.

TL;DR: In this article, a methodology is presented for identifying lateral tyre force dynamics by studying the vehicle dynamics, based on the EKF (extended Kalman filter) and makes it possible to determine lateral tyre forces on the basis of the results obtained from standard on-road handling manoeuvres.

TL;DR: In this paper, a fault diagnosis approach for robotic manipulators, subject to faults of the joints driving systems, is developed, where a model-based diagnostic observer is adopted to detect, isolate and identify failures.

TL;DR: In this paper, a new LMI characterization is proposed to compute static and full-or fixed-order anti-windup compensators for possibly open-loop unstable plants based on a recent description of deadzone nonlinearities via local sector conditions.

TL;DR: In this article, the dynamical model of an original trirotor helicopter is presented and a nonlinear control strategy is proposed to control the roll and forward displacement of the helicopter using a nested saturations control law.