Measurement, Control, and Automation 2023-02-10T15:43:32+07:00 Tran Trong Minh Open Journal Systems <p><em>MCA — Measurement, Control, and Automation</em> is an international peer-reviewed open access journal published quarterly by <a title="Vietnam Automation Association (VAA)" href="">Vietnam Automation Association (VAA)</a>.</p> <ul> <li><strong><span class="label openaccess">Open Access</span></strong>—free to download, share, and reuse content. Authors receive recognition for their contribution when the paper is reused.</li> <li><strong>Rapid Peer-Reviewed Process</strong>: First decisions in 21 days.</li> <li><strong>Recognition of Reviewers:</strong> APC discount vouchers, optional signed peer review, and reviewer names published annually in the journal.</li> </ul> Strategy for enhancing photovoltaic power plant system inertia through de-loading control 2022-10-01T16:50:14+07:00 Bình Nam Nguyễn Văn Tấn Nguyễn Đình Minh Đức Trương Văn Hiếu Nguyễn Lê Vi Thảo Trương Quốc Trung Trần <p>Currently, to solve the problem of global warming as well as the shortage of energy, countries around the world have increased the use of renewable energy sources, especially solar energy. Photovoltaic Power Plants have variable output power depending on weather factors and do not contribute inertia, making it difficult to operate the power system. Besides, they are often controlled to operate with maximum power point, resulting in these generators not having the reserve power to stabilize the frequency of the grid when there is a power imbalance. This paper proposes a control strategy to improve grid inertia through de-loading control for photovoltaic power plants combined with the droop control and inertia simulation method to support inertia for the grid. Matlab/Simulink software is used to simulate and evaluate the effectiveness of the proposed strategy.</p> 2023-02-10T00:00:00+07:00 Copyright (c) 2023 Measurement, Control, and Automation Investigation of Initial Voltage Distributions in HV Windings of Shunt Reactors Taking Transient over Voltages into Account 2022-10-30T09:12:41+07:00 Duc Hung Bui Cong Truong Trinh Minh Tu Pham Minh Dinh Bui Quoc-Vuong Dang <p>Shunt reactors operating in high and supper voltage systems are usually influenced by voltage impulses that cause transient over voltages. Many authors have been recently studied influence of fringing fluxes around air gaps, leakage inductances and the number of air gaps to the shunt reactors.&nbsp; The novel idea of this paper is to investigate initial voltage distributions with different types of high voltage shunt reactor’s winding when affected by a lightning impulse. In order to make the uniformly distribution in the winding, it is necessary to change the winding type by increasing series capacitance values. Thus, the model of shunt reactor’s winding will be proposed via an analytic technique to compute capacitance components in the windings. Then, the obtained results from the analytic method are introduced to the ATPDraw tool to simulate and investigate the voltage distributions in high voltage windings.</p> 2023-02-10T00:00:00+07:00 Copyright (c) 2023 Measurement, Control, and Automation Developing Software to Evaluate the Ability of Distributed Energy Source Connected to the Distribution 2022-10-01T16:49:16+07:00 Hong Lam Le Khoa Nam Le <p>The increasing share of distributed generators (DGs), particularly residential solar photovoltaic systems, are posing new challenges for Distribution Network Operator (DNOs) in the management, operation, and planning. They have to adopt more and more advanced tools to evaluate the risk of the grid, plan for infrastructure investment and make informed connection decisions. In conjunction with the power system digital transformation efforts, the study develops a capacity proactive calculation application, which can rapidly assess the impact of new DGs are connected to the grid, thereby drawing conclusions about the connection. An application called DERIA helps speed up approvals, interconnections, and expands the penetration of distributed energy resources to support the grid.</p> 2023-02-10T00:00:00+07:00 Copyright (c) 2023 Measurement, Control, and Automation Studying the effect of humidity on the Graphene/AlN/Si multilayer structure of SAW chemical sensor 2022-10-06T14:47:38+07:00 Hà Nguyễn Ngọc Tuấn Trương Sĩ Hồng Hoàng <p class="AbstractBody">This study presents the 2D FEM simulation method and experimental fabrication of SAW- based on multilayer structure Graphene/AlN/Si changes with humidity. The chemical SAW sensor is a type of sensor based on the phenomenon of surface acoustic wave changes. Simulation results show that the center frequency decreases from 127,458 MHz to 127,431 MHz, when the humidity increases from 10% to 100%. And completely in line with the trend of the experimental results, the center frequency is also reduced from 127.6 MHz to 126.7 MHz. Both of these results are consistent with the theory that as humidity increases, the average density of the sensitive layer changes (decreases), resulting in a decrease in the center frequency.</p> 2023-02-10T00:00:00+07:00 Copyright (c) 2023 Measurement, Control, and Automation Applying image processing technology for mobile robot automatically tracking and following steel weld seams 2022-10-14T08:21:37+07:00 Huu Hoang Bui Van Hieu Dang Truong Nguyen Kim Anh Nguyen Khanh Quang Nguyen Van Quang Binh Ngo <p>For inspecting steel weld seams, most of the buildings, steel pillars, pipelines, storage tanks, etc. are currently still carried out in a manual way. More specifically, technicians often use scaffolding systems for moving and carrying defect testing equipment. At this time, the job requires them to work in dangerous altitude conditions, even in environments containing harmful gases. Therefore, this paper will be focused on developing a mobile robot in order to replace human in the work of carrying welding defect equipment. This helps to ensure worker safety, increase productivity and save costs. A computer vision is integrated into the robot to create a unified system to help it see, think. The robot uses computer vision to automatically identify steel weld seam and align the movement direction to follow the welding seam. In addition, with a special design using a permanent magnet wheel system, the robot has the ability to move flexibly on the surface of large steel structures with a flexible tilt angle from 0˚ to 180˚.</p> 2023-02-10T00:00:00+07:00 Copyright (c) 2023 Measurement, Control, and Automation Leaderless- and Leader-Follower Matrix-Weighted Consensus with Uncertainties 2022-10-03T04:28:13+07:00 Hieu Minh Nguyen Hoàng Minh Trịnh <p>This paper studies the consensus problem in which agents interact via a matrix-weighted graph. The problem is considered with different assumptions on the agent's dynamical model (single-, double integrator) with uncertainty and on the interaction such as leaderless and leader-follower topologies. Several control laws are proposed to make the multi-agent systems asymptotically reach a consensus and reject the effect of uncertainties and/or deterministic disturbances. For each proposed consensus law, mathematical analysis is given and supported by numerical simulations.</p> 2023-02-10T00:00:00+07:00 Copyright (c) 2023 Measurement, Control, and Automation An accurate machine learning approach for seed germination prediction 2022-12-06T22:49:48+07:00 Dinh Van Nguyen Trung Kien Dao Viet Tung Nguyen Thi Ngoc Yen Pham <p>To determine the quality of seeds, researchers often must manually check for seeds germination. The process is cumbersome, time consuming and error-prone since it requires the researcher to manually examine at least a few hundred to thousands of seeds. Hence, an automatic <br>seeds germination prediction solution is required. Over the years, with the help of deep learning methods, some studies have accurately <br>predicted the performance of seeds given just a picture of them. However, one downside of the deep learning approaches is the result does <br>not give more insight into which factors of the seeds’ image contribute to a successful germination process. In this paper, we propose a <br>classical machine learning method with a carefully designed features engineering process to both accurately predict seeds germination and <br>give more insight into the relevant factors for a seed’s germination process. At 95% prediction precision, the proposed method suggests that <br>relevant factors are: seed’s size, the circularity, brightness distribution and its skewness and kurtosis.</p> 2023-02-10T00:00:00+07:00 Copyright (c) 2023 Measurement, Control, and Automation Designing a position control of moving shelf in the smart storage system 2022-12-13T21:35:29+07:00 Pham Quang Dang Tran Viet Thang Nguyen Trong Hoang Quang Dich Nguyen <p>This paper introduces the research results on a method of designing a control of moving shelf in the smart storage system using a brushless DC motor (BLDC) to ensure that the shelf’s movement is smooth, collision-free and not overturned. After an overview of the mathematical model and control method for the BLDC motor based on the Hall sensors, the paper focused on presenting the design of the speed and the position control in cascade control system, in which the influence of maximum and minimum speed and acceleration is considered. To be able to evaluating of the introduced control method, an experimental model of a shelf drive system using a BLDC was built, in which the STM32 microcontroller was used to program the controllers, calculate the traveled distance and send the control signal to the motor drives. Experiments have been carried out without acceleration limiter and with acceleration limiter when different gain coefficients are applied. Experimental results show that the selection of the reasonable position controller parameter in the case of acceleration limiter will give the best results.</p> 2023-02-10T00:00:00+07:00 Copyright (c) 2023 Measurement, Control, and Automation Enhance data encryption for chipless RFID tags with reference resonators 2022-11-14T06:04:19+07:00 Cường Lê Công Đào Trung Kiên Nguyễn Thanh Hường Phạm Thị Ngọc Yến <p><span class="jCAhz ChMk0b"><span class="ryNqvb">This paper proposes a new frequency data encoding method, applicable to chipless RFID tags, allowing for N resonant elements, each of which has a fundamental resonant frequency and M </span></span><span class="jCAhz ChMk0b"><span class="ryNqvb"> shifted resonance frequencies around&nbsp; can encode a much larger amount of data than the amount of data encoded by the OOK method.</span></span> . To do this, the authors have also researched and solved thoroughly to design of passive structures which can resonate at predetermined desired frequencies with errors within allowable limits by applying the Particle Swarm Optimization algorithm (PSO) to find the optimal parameter . This result has overcome one of the biggest limitations of chipless RFID tags which is data encoding capacity while not increasing the size or complicating the structure of the tag.</p> 2023-02-10T00:00:00+07:00 Copyright (c) 2023 Measurement, Control, and Automation Development of Recurrent Perceptron Learning Algorithm for Second-Order Cellular Neural Networks 2022-12-21T19:39:29+07:00 Duc Anh Duong Nguyen Quang Hoan Nguyen Tai Tuyen Lai Thi Van Quyen Hoang Tuan Dat <p>This paper develops a method to estimate the set of weights for SOCNNs using Recurrent Perceptron Learning Algorithm. By integrating not only the First-order input and output signals but also the Second-order input and output signals into a general input signal, the research team transformed the networks of SOCNNs into an equivalent structure with the traditional Perceptron Networks. From there, the parameters of SOCNNs can be determined by the supervised learning method. The paper also simulates SOCNNs on MATLAB to check the correctness and efficiency of the proposed algorithm.</p> 2023-02-10T00:00:00+07:00 Copyright (c) 2023 Measurement, Control, and Automation