Showing papers in "Control Engineering Practice in 2008"

TL;DR: In this article, a method for tuning the PI λ D μ controller is proposed to fulfill five different design specifications, including gain crossover frequency, phase margin, and iso-damping property of the system.

TL;DR: In this article, an adaptive sliding control method is presented for an electro-hydraulic system with nonlinear unknown parameters, which enter the system equations in a nonlinear way. But in practical hydraulic systems, the original control volumes are unknown or change; as a result some unknown parameters appear nonlinearly.

TL;DR: In this paper, an adaptive controller is proposed to guide an unicycle-like mobile robot during trajectory tracking, where the desired values of the linear and angular velocities are generated, considering only the kinematic model of the robot.

TL;DR: A review of the main dead-time compensators (DTC) described in literature is presented in this article, where the basic Smith predictor (SP) showing its advantages and drawbacks is analyzed.

TL;DR: In this paper, a semi-active control strategy that a priori satisfies the principal limitations of a semiactive suspension actuator (dissipative constraint and force bounds) is introduced using the tools of the linear parameter varying (LPV) theory.

TL;DR: A genetic-fuzzy control strategy for parallel HEVs is described that is a fuzzy logic controller that is tuned by a genetic algorithm to minimize fuel consumption and emissions, while enhancing or maintaining the driving performance characteristics of the vehicle.

TL;DR: In this paper, a backstepping control design for the control of a vehicle active suspension system is presented, which offers a systematic procedure for the construction of the Lyapunov functions and related feedback control laws.

TL;DR: In this paper, the authors proposed a simple and effective fault tolerant control method for satellites with four reaction wheels based on dynamic inversion and time-delay control theory, which can accommodate faults rapidly without any explicit reconfiguration.

TL;DR: In this paper, the authors proposed an approach to design the control structure and algorithms for optimising control of integrated wastewater treatment plant-sewer systems (IWWTS) under a full range of disturbance inputs.

TL;DR: A new adaptive local model based monitoring approach for online monitoring of nonlinear multiple mode processes with non-Gaussian information that gives better performance compared to conventional methods is proposed.

TL;DR: In this paper, a motion control and stability analysis of a two-wheeled vehicle (TWV) is presented, where the TWV is driven by two independent wheel motors, upon which a vehicle body is mounted.

TL;DR: In this article, a new systematic tuning method with a new structure to design a robust PID load frequency controller for multimachine power systems is presented, which is mainly based on a maximum peak resonance specification that is graphically supported by the Nichols chart.

TL;DR: In this article, a cascade control algorithm based on a sliding mode in the legspace is proposed to realize the trajectory tracking control of a hydraulically driven six degrees of freedom (6-DOF) parallel robot manipulator.

TL;DR: In this paper, the authors proposed multiple model predictive control (MMPC) to deal with uncertainty in the expected inflow, which minimizes an objective function in which the risk of damage is used by applying different scenarios to multiple identical models.

TL;DR: It is shown that the proposed method correctly detects and diagnoses the most commonly occurring track circuit failures in a laboratory test rig of one type of audio frequency jointless track circuit.

TL;DR: In this paper, the authors describe the development of a real-time monitoring solution for a complex petroleum refining process with an installed multivariable model predictive controller, designed to track the time-varying and non-stationary dynamics of the process and for improved isolation capabilities.

TL;DR: In this paper, eight different models to represent the effect of friction in control valves are presented: four models based on physical principles and four empirical ones, both static and dynamic, have the same structure.

TL;DR: In this paper, an observer is designed to estimate the air fractions in all the engine intake/exhaust sections using standard sensors equipped on the engine, which can provide indispensable information for the engine controller to exercise closed-loop control on incylinder conditions as well as control the in-cylinder high-pressure EGR gas and low-pressure ECG gas amounts, respectively, which are crucial for engines running alternative combustion modes for engine-out emission reduction.

TL;DR: In this article, a hierarchical controller for tracking the dissolved oxygen (DO) reference trajectory in activated sludge processes is proposed and investigated, where the removal of nitrogen and phosphorous from wastewater is considered.

TL;DR: In this article, a fault detection and isolation (FDI) scheme through an adaptive filter for multi-model systems is proposed, which is based on the assumption that dynamic behaviour of the process is described by a multilayer approach around different operating points, a set of residual is established in order to generate weighting functions robust to faults.

TL;DR: In this article, a hybrid controller consisting of a parallel connected sliding mode controller (SMC) and a neuro-fuzzy controller (NFC) for the speed control of a permanent magnet synchronous motor (PMSM) drive is presented.

TL;DR: In this paper, an observer-based second order sliding mode control law for the stepper motor is proposed to perform accurate tracking of the motor position via a second-order sliding mode observer.

TL;DR: In this paper, an alternative to inverse dynamics joint torques estimation in human stance is proposed based on unknown-input observers which allow real-time estimation of joint torque and angular velocity from measurements of the angular positions.

TL;DR: In this article, two gain-scheduled controllers are synthesized to achieve, in the frequency domain, comfort and yaw performances according to the driving situation, observed by the mean of a monitor.

TL;DR: In this article, the optimal braking strategy in a high-performance motorbike is discussed, highlighting the role of aerodynamics and studying how to select and modify the control objective during braking.

TL;DR: In this article, a model-based procedure exploiting analytical redundancy for the detection and isolation of faults on a gas turbine simulated process is presented, which is especially useful when robust solutions are considered for minimising the effects of modelling errors and noise, while maximising fault sensitivity.

TL;DR: A comparative study of various Kalman filter configurations applied to a low-cost inertial navigation system (INS) for an unmanned airship or blimp found that the best trade-off between accuracy and processing power could be achieved by having two smaller extended Kalman filters running in sequence.

TL;DR: In this article, the authors present a new methodology applicable to batch processes called iterative nonlinear model predictive control (INMPC), which incorporates the ability of learning from past batches (known as iterative learning control or ILC) to an underlying nonlinear controller.

TL;DR: In this paper, a model predictive control (MPC) is proposed to prevent the development of nonlinear effects arising from the hydrodynamic characteristics of the ship fin stabilizers.

TL;DR: In this article, the authors identify three promising applications of the stable controllers and compare the performance of the closed-loop input shaping control architecture with more conventional feedback control strategies, using a 10-ton industrial bridge crane and a portable bridge crane.