Showing papers in "Transactions of the Institute of Measurement and Control in 2020"
TL;DR: The experimental results indicate that the multi-step hybrid identification method proposed herein can effectively identify and remove various foreign bodies in the production process of tobacco packs, with an accuracy rate of 97.8%, which meets the industrial requirements for foreign body detection.
Abstract: Foreign body detection is an important aspect that affects the quality of tobacco production. This paper describes a direct foreign body detection scheme using machine vision, which uses three came...
51 citations
TL;DR: Simulation results show that the proposed control method successfully stabilizes the uncertain system in a finite time.
Abstract: This article is concerned with suppression of nonlinear forced vibration of a single-wall carbon nanotube conveying fluid based on the nonlocal elasticity theory and Euler–Bernoulli beam theory. El...
40 citations
TL;DR: It is shown that the method can extract the weak characteristics of the early fault signal of the rolling bearing, and it can realize the judgment of the bearing fault accurately through the analysis of simulated signal and the actual data of bearing.
Abstract: Variational mode decomposition (VMD) is an adaptive signal processing method proposed recently. It has gradually been widely used due to its good performance. According to the problem that the para...
34 citations
TL;DR: The control strategy that proposed in this paper has been simulated by MATLAB and the advantages and effectiveness of the control strategy are shown by comparing with the classical ADRC.
Abstract: This paper proposes a dynamic surface active disturbance rejection control (ADRC) strategy to deal with trajectory tracking problems for a quadrotor unmanned aerial vehicle (UAV). Compared with bac...
33 citations
TL;DR: The results obtained prove the superiority of the new proposed strategy in always catching GP in dynamic change PSCs.
Abstract: Maximum power point tracker (MPPT) is vital device in the Photovoltaic (PV) system because it can increase the generated power considerably. Partial shading conditions (PSCs) on the PV array genera...
31 citations
TL;DR: A hybrid approach for power flow management (PFM) of the hybrid renewable energy source (HRES) connected microgrid (MG) system is introduced, the combination of both the squirrel search algorithm (SSA) with whale optimization algorithm (WOA) named as SSAWO.
Abstract: This paper introduces a hybrid approach for power flow management (PFM) of the hybrid renewable energy source (HRES) connected microgrid (MG) system. Here, the proposed approach is the combination ...
31 citations
TL;DR: This model can effectively reduce the probability of AGVs coming into conflict, reduce the time QCs and YCs have to wait for their next task and improve the operational efficiency of AGV horizontal transportation in automated container terminals.
Abstract: With the continuous increase in labour costs and the demands of the supply chain, improving the efficiency of automated container terminals has been a key factor in the development of ports. Automa...
27 citations
TL;DR: An exact formula for the Riemann-Liouville fractional integral of the Taylor wavelets is given and this formula is applied to reduce the problem to the problem of solving a system of algebraic equations.
Abstract: We present an efficient numerical method for solving fractional pantograph differential equations by applying Taylor wavelets. We give an exact formula for the Riemann-Liouville fractional integral...
27 citations
TL;DR: The proposed algorithm, based on a distribution dissimilarity technique named Kullback-Leibler divergence (KLD), shows superior robustness and effectiveness recording the lowest average missed detection rate and false alarm rates in process fault detection.
Abstract: Principal component analysis (PCA) is a common tool in the literature and widely used for process monitoring and fault detection. Traditional PCA is associated with the two well-known control chart...
25 citations
TL;DR: The results show that the negative effects of the unpredictable network-induced delays are compensated and the stability of NCSs with high disturbance attenuation level is guaranteed.
Abstract: This paper investigates the robust stability analysis and state feedback controller design of networked control systems (NCSs). A stochastic network-induced delay in given interval with known lower...
22 citations
TL;DR: The surface roughness accuracy value varied between ANFIS and random forest classification in every measurement sequence, but this limitation can be overcome by the genetic algorithm to optimize the best results.
Abstract: This paper proposes an efficient methodology for predicting surface roughness using different soft computing approaches. The soft computing approaches are artificial neural network, adaptive neuro-...
TL;DR: This article designs a new robust adaptive synchronization control (RASC) algorithm to address the following two challenges: the full-order synchronization of two parametrically excited second-order nonlinear pendulum (PENP) chaotic systems with uncertain parameters and the reduced-orders synchronization between an uncertain third-order chaotic Rossler and the uncertain PENP systems.
Abstract: The complexity of the closed-loop system, short transient response time, and fast synchronization error convergence rates are the three basic parameters that limit hacking in the data encryption an...
TL;DR: It is shown that the effect of internal and external disturbances is compensated in a more effective way compared with the ESO-based MPC approach and traditional proportional integral differential (PID) control method.
Abstract: This paper deals with the critical issue in a direct-driven permanent magnet synchronous generator (PMSG)-based wind energy conversion system (WECS): the rejection of internal and external disturba...
TL;DR: A combination of approximate feedback linearization and sliding mode control approaches is applied to stabilize a class of fourth-order nonlinear systems to improve the performance of the proposed controller.
Abstract: In this paper, a combination of approximate feedback linearization and sliding mode control approaches is applied to stabilize a class of fourth-order nonlinear systems. In order to improve the per...
TL;DR: Considering the blind parameters selection and the high dimension of input data in least squares support vector machine (LSSVM) modeling process, a kernel principal component analysis (KPCA)-based LSSVM forecasting method optimized by improved grey wolf optimization (GWO) algorithm is proposed.
Abstract: Considering the blind parameters selection and the high dimension of input data in least squares support vector machine (LSSVM) modeling process, a kernel principal component analysis (KPCA)-based ...
TL;DR: A novel time-varying gain extended state observer (ESO)-based moving sliding mode control method is proposed for anti-sway and positioning control of two-dimensional underactuated overhead cranes and the simulation results confirm the effectiveness of the proposed controller.
Abstract: In this paper, a novel time-varying gain extended state observer (ESO)-based moving sliding mode control method is proposed for anti-sway and positioning control of two-dimensional underactuated ov...
TL;DR: This research presents a probabilistic approach to estimate the ages of lithium-ion batteries using a variety of methods, including a simple, straightforward and scalable approach called “banks-based approach”.
Abstract: Lithium-ion batteries have been widely used in electric vehicles, smart grids and many other applications as energy storage devices, for which the aging assessment is crucial to guarantee their saf...
TL;DR: The obtained results show that the optimal operation of the vehicle varies according to the best energy management strategies, and a new meta-heuristic based on the population is presented.
Abstract: One of the main research areas of the automotive sector is energy consumption and the reduction of pollutant emissions. Therefore, the hybrid electrical vehicle Vehicle electrical hybrid (VEH) is a...
TL;DR: A finite-time control strategy is proposed to solve the problem of position tracking control for a permanent magnet synchronous motor servo system and shows that under the proposed controller, the desired position can be tracked by the motor position in a finite time.
Abstract: A finite-time control strategy is proposed to solve the problem of position tracking control for a permanent magnet synchronous motor servo system. It can guarantee that the motor’s desired positio...
TL;DR: The research proved that the use of tomographic measurement techniques in combination with the image reconstruction algorithm based on elastic net allows for non-invasive and very accurate spatial assessment of leaks and damages of flood embankments.
Abstract: The article presents non-destructive testing based on electrical impedance tomography (EIT) for spatial (3D) monitoring of flood embankments. Therefore, to solve the inverse problem of the EIT, an ...
TL;DR: The modified elephant herding optimization algorithm plays out the assessment procedure to establish the exact control signals for the system and builds up the control signals database for the offline way in light of the power variety between source side and the load side.
Abstract: Efficient approach for power flow management of hybrid renewable energy system connected smart grid system is proposed in this paper. Here, the proposed approach is the combination of both the modi...
TL;DR: A review of evolutionary and bio-inspired methods within greenhouse environment control applications is presented, considering single and multiple objective problems, as well as their current trends.
Abstract: A significant number of search and optimisation techniques whose principles seek inspiration from nature and biology phenomena have been proposed in the last decades. These methods have been succes...
TL;DR: An adaptive robotic system has been developed to be used for hand rehabilitation and simple design lets to implement adaptive compliance controller for all active and passive rehabilitation tasks, instead of developing complex and different strategies for different rehabilitation tasks.
Abstract: An adaptive robotic system has been developed to be used for hand rehabilitation. Previously developed exoskeletons are either very complex in terms of mechanism, hardware and software, or simple b...
TL;DR: An adaptive fault-tolerant control scheme for a single-link flexible manipulator with actuator failure and uncertain boundary disturbance is proposed and results indicate that the proposed controller is superior to the traditional PD controller.
Abstract: This paper proposes an adaptive fault-tolerant control scheme for a single-link flexible manipulator with actuator failure and uncertain boundary disturbance. The dynamic model of the flexible mani...
TL;DR: Solving the complicated robust control problem for FJRs and EFJRs subject to uncertainty and disturbances via a simple and flexible nonlinear optimal approach and no need of state measurement are the main advantages of the proposed control method.
Abstract: In this paper, the robust control problem is tackled by employing the state-dependent Riccati equation (SDRE) for uncertain systems with unmeasurable states subject to mismatched time-varying distu...
TL;DR: A parameter identification method of photovoltaic cell model based on improved lion swarm optimization based on the tent chaotic map, adaptive parameter and chaotic search strategy to further improve the search ability of the algorithm and avoid trapping in local optimum.
Abstract: In this paper, a parameter identification method of photovoltaic cell model based on improved lion swarm optimization is presented. Lion swarm optimization is a novel intelligent algorithm proposed...
TL;DR: Comparison reveals that the proposed nonparametric double exponentially weighted moving average chart based on Wilcoxon signed rank test performs better to detect all kinds of shifts in the process location than existing counterparts.
Abstract: Investigation and removal of unnatural variation in the processes of manufacturing, production and services require application of statistical process control Control charts are the most famous an
TL;DR: The stability of the closed-loop system is proved here using Lyapunov stability theory and the efficiency of the proposed control method is validated through a multi-criteria numerical simulation.
Abstract: The combination of DC-DC buck power converters with DC motors for generating the so-called smooth start of drives has many advantages in engineering practice Achieving high performance of such sys
TL;DR: Results show that the proposed iPI-ASMC approach provides better dynamic responses and outperforms to compared methods in terms of settling time, peak overshoots, integral absolute error (IAE), integral square error (ISE), and integral timeabsolute error (ITAE).
Abstract: Solid oxide fuel cell (SOFC) plant is considered a most important type in the field of fuel cells, which gives control difficulties such as fuel flow constraints, load disturbance, system nonlinear...
TL;DR: Results show that the proposed model-free robust finite-time force tracking controller for piezoelectric actuators (PEAs) has faster convergence, higher tracking accuracy and stronger robustness compared with the traditional TDE-based force controllers.
Abstract: A robust and practical force control system is crucial to the sensitive piezo-driven micromanipulation applications. This paper presents a new model-free robust finite-time force tracking controlle...