Showing papers in "Control Engineering Practice in 2019"

TL;DR: It is shown that, for fast maneuvers, the disturbance observer needs to take into account the motor dynamics, which allows to notably increase the observer bandwidth, leading to significant improvements in the disturbance rejection capabilities.

TL;DR: This methodology integrates the previously separated components, such as the profile generator, state observer, feedback controller, feedforward terms, and disturbance rejection, into one unified structure, thus making it compatible with standard industrial control function blocks and enhancing its market competitiveness.

TL;DR: In this paper, a time-varying active disturbance rejection solution is proposed and validated in both numerical and experimental results, and the proposed method is confirmed with rigorous analysis of transient performance and noise attenuation.

TL;DR: A new Predictive Functional Modified PID (PFMPID) controller is proposed that the effectiveness of this controller is verified compared to the traditional one and Grasshopper Optimization Algorithm (GOA) is proposed as a suitable solution to optimize and demonstrate the superiority of the proposed control method.

TL;DR: A modified ADRC based cascade control strategy is proposed for the SST control system and the control performance is initially confirmed by a simulation based on the identified models.

TL;DR: Fractional order proportional integral (FOPI) is selected as an attractive solution for AC current regulation to exhibit fast transient response and to achieve zero steady-state errors as compared with conventional current regulation controllers in synchronous or stationary frames.

TL;DR: The attitude control design carried out in this paper demonstrates the possibility of adopting a simple input–output model to control the UAV attitude, while relying on the disturbance rejector to bridge the gap between model and plant reality.

TL;DR: A proportional–integral–derivative (PID) controller is designed using stability boundary locus (SBL) approach for interval single area power system with non-reheated thermal turbine and reheated thermal turbines having communication delay and then the proposed approach is validated on the multi-area IEEE 39-bus New England test system.

TL;DR: The controller ensures power balance and grid stability even when some devices are not controllable in terms of their power output, and environmental conditions and load vary in time.

TL;DR: A product agent architecture with the capabilities to explore the local environment, plan and schedule events based on its knowledge, and request desired actions from the resources in the system is presented and tested.

TL;DR: The conditions of stabilizing the closed-loop system are studied in the form of parameters’ explicit sets such that the tuning laws of ADRC can be directly obtained and intuitively demonstrated in engineering practice.

TL;DR: This work presents a COS directed at reducing NO x at a 490 MW tangentially coal-fired power station over two years of live, closed-loop operation and demonstrates the sustainability of the COS in achieving a high degree of acceptance, with a final service factor of 86%.

TL;DR: A nonlinear image-based visual servo control approach for pipeline following of fully-actuated Autonomous Underwater Vehicles that makes use of the binormalized Plucker coordinates of the pipeline borders detected in the image plane while the system dynamics are exploited in a cascade manner in the control design.

TL;DR: The performance of the adjoint-based model predictive control (AMPC) is investigated with time-varying changes in wind direction and simulation results show the effectiveness of the proposed approach.

TL;DR: Wang et al. as discussed by the authors proposed a novel weighted principal component analysis (WPS-PCA) method that employs an exponential weighting scheme to put more emphasis on recent information.

TL;DR: A novel maximum power point tracking method for PV system with reduced steady-state oscillation based on improved particle swarm optimization (PSO) algorithm and variable step perturb and observe (P&O) method is proposed.

TL;DR: This study proposes an energy-efficient and high-precision closed-loop controller for the highly nonlinear hydraulic robotic manipulators and demonstrates that the actuators’ energy consumption is reduced by 45% without noticeable motion control (position-tracking) deterioration.

TL;DR: The control mechanism from the perspective of the modified plant is analyzed, which would give guidance to parameter tuning and the proposed tuning method is experimentally used for a furnace pressure regulation of a 1000MW power plant, validating the feasibility of the low-order ADRC.

TL;DR: The proposed method is compared with several state-of-the-art process monitoring methods and the experimental results show that the proposed method can provide satisfactory monitoring results, especially for some small faults, thus it is suitable for process monitoring of nonlinear industrial processes.

TL;DR: A novel enhanced anti-disturbance control law is proposed for the attitude control system of flexible spacecraft by combining active disturbance rejection control and disturbance observer-based control in a unified framework.

TL;DR: In this paper, a comparative analysis involving four continuous sliding-mode control (Continuous-SMC) algorithms and a robustified PID control for a Quad-Rotor that can be used to deal with the tracking problem under the influence of external disturbances and uncertainties only by means of the measurable positions and angles is presented.

TL;DR: Case studies on a high-speed train air brake system and the continuous stirred tank reactor process are carried out, which demonstrate the effectiveness of the AMD based fault detection and isolation methods, in comparison with conventional approaches.

TL;DR: The developed adaptive controller can guarantee the asymptotic tracking performance for nonlinear servo mechanisms in the presence of nonlinear friction and bounded disturbances.

TL;DR: It is shown by simulation and experimentation that the transient and steady state performance of both the controllers are satisfactory and the practical stability of the proposed schemes is proved.

TL;DR: An uncertainty and disturbance estimator (UDE) based sliding mode control approach is applied to improve the performance of power converters and achieves good dynamic performance, strong robustness and chattering reduction in the presence of uncertainties and disturbances.

TL;DR: A Linear-ADRC (LADRC) with the torque compensation is implemented to the speed control loop of a VS-MHP, which is tested under a real-time power Hardware-In-the-Loop benchmark and results prove its advantages for VS- MHP applications.

TL;DR: A survey of the existing mathematical models of electric vehicles followed by state of the art approaches on modeling hybridization of the energy sources is presented, providing optimal models for particular applications.

TL;DR: A conditional disturbance negation (CDN) based active disturbance rejection control (ADRC) scheme for the velocity and altitude tracking control of flexible air-breathing hypersonic vehicles (FAHVs) in the presence of various uncertainties and disturbances.

TL;DR: To improve the robustness of the model predictive control in the presence of modeling uncertainties and disturbances in the steering control processes, a sliding mode predictive tracking control (SMPC) strategy for a SbW system with uncertain dynamics is proposed.

TL;DR: A semi-supervised probabilistic mixture of ELMs, based on the variational Bayes expectation–maximization algorithm, which develops a training algorithm for the S 2 PMELMs, where unlabeled samples are able to be exploited and the regularization parameter for each ELM can be adaptively determined.