Association for Scientic Computing Electronics and Engineering (ASCEE): Open Journal Systems
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Four DOF Robot Manipulator Control Using Feedback Linearization Based on Sliding Mode Control
Full text linkThis paper investigates the performance of a four-degree-of-freedom (4DOF) robot arm using feedback linearization based on sliding mode control (FLSM). FLSM simplifies complex nonlinear control solutions and mitigates the effects of the highly coupled dynamic behavior of the 4DOF manipulator. The controller takes into account uncertain dynamics and unexpected disturbances such as changes in payload, variations in wind, and gravity effects in different directions. The stability of the proposed controller is achieved using the manipulator model and FLSM without linearizing the model. Stability is analyzed using a Lyapunov function, and MATLAB Simulink is utilized to simulate the real parameters of the Quanser QArm. The results are compared with those obtained using a PID controller
Modeling the Structural Dynamics of Carbon Fiber Composites for Robotic Systems Under Sinusoidal Load
Full text linkThe demand for robotic systems employing composite materials is steadily improving due to their high bending stiffness, favorable strength-to-weight ratio, and durability under dynamic loading. It is still challenging to guarantee dynamic stability and precise frequency response in composite robotic components. This study addresses these issues by conducting a simulation-based 3D bending analysis and frequency response modeling of carbon/epoxy and carbon/PPS composites under sinusoidal loading. The remarkable mechanical and thermal properties of carbon/epoxy and carbon/PPS composites, such as their high specific strength, stiffness, and excellent fatigue resistance, align well with the requirements of robotic systems. The model comparison involved analyzing three-dimensional bending stresses, displacements, and free vibration dynamics for both materials under a sinusoidal load applied to their inner surfaces. The sinusoidal load was selected to simulate periodic dynamic forces commonly encountered in robotic applications, such as oscillating arms, vibrating components, and cyclic loading during operation. The thick shell (S=4) of axial length (L=4S) and circumferential span (α=45°) comprises cross-ply laminate [90°/0°/90°] with supported boundary conditions. The transverse displacement of the carbon PPS composite cylindrical shell was 0.719 nm, which was lower than that of the carbon epoxy composite (0.746 nm). The same behavior was observed for the stress values. Conversely, the PPS composite cylindrical shell yielded a higher natural frequency. The obtained eigenvalues indicated a similar behavior when comparing the shape modes with a relative increase in their values in the carbon PPS composite
Reduction of Large Scale Linear Dynamic MIMO Systems Using Adaptive Network Based Fuzzy Inference System
Full text linkLarge Scale Multiple Input Multiple Output (MIMO) technology is a promising technology in wireless communications, and it is already at the heart of many wireless standards. MIMO technologies provide significant performance improvements in terms of data transfer rate and reduction the interference. However, MIMO techniques face large-scale linear dynamic problems such as system stability and it will be possible to overcome this problem by tuning the proportional integral derivative (PID) in continuous systems. The aim of this paper is to design an efficient model for MIMO based on Adaptive Neural Inference System (ANFIS) controller and compare it with a traditional PID controller. and evaluated by objective function as integral time absolute error (ITAE). ANFIS is used to train fuzzy logic systems according to the hybrid learning algorithm. The training involves the fuzzy logic parameters through simulating the validation data to represent a model to know the correctness and effectiveness of the system. It is optimizes the system performance in real time, however, to avoid potential problems such as easy local optimality. In the proposed approach stability is guaranteed as the initial steady-state scheme. ITAE is combined with ANFIS to minimize the steady-state transient time responses between the high-order initial pattern and unit amplitude response. The proposed ANFIS self-tuning controller is evaluated by comparing with the conventional PID. MATLAB simulink is used to illustrate the results and demonstrate the possibility of adopting ANFIS controller. The simulation results showed that the performance of ANFIS controller is better than the PID controller in terms of settling time, undershoot and overshoot time
Optimal Controller Design of Crowbar System Using Class Topper Optimization: Towards Alleviating Wind-Driven DFIGs Under Nonstandard Voltages
Full text linkIncreased integration of doubly fed induction wind generators (DFIWG), power sector deregulation, rising energy demands, and technological breakthroughs are all contributing to the rapid advancement of modern energy infrastructure. These advancements, nevertheless, pose serious challenges to maintaining fault ride-through capability (FRTC) in DFIWG. Thus, this work proposes a novel FRTC enhancement method that uses a crowbar system with a class topper optimization (CTO) based control technique. The crowbar system and DFIWG are integrated with the investigated system to achieve FRTC, reduce injected harmonic distortion, and maintain the DC link voltage (DCLV) below the permitted level. Additionally, the system has a DCLV control system that uses a CTO-PI controller to maintain an enclosure DCLV, which enhances crowbar performance. The findings demonstrated that when a CTO-based controller is employed, the DFIWG system reacts slightly better to angular speed, active and reactive power, DCLV, and generator speed. The MATLAB/Simulink scenarios used to test the suggested system show that it can achieve FRTC and allow for a high penetration potential of DFIWG
Investigation and Design of High Efficiency Quadrature Power Amplifier for 5G Applications
Full text linkThe rapid rise of the high data rate requirements in modern wireless communications, which include Wi-Fi, LTE, and 5G, demands that appropriate linear and efficient transmitter architecture gets designed. The increased power amplifier (PA) efficiency in the output power back-off (OPBO) is one of the major challenges because it is difficult to achieve PA power efficiency and linearity at the same time. The current study provides design and simulation of a Quadrature Power Amplifier (QPA) for application in 5G in the 5.8 GHz band using 120nm CMOS technology. The proposed QPA system combines Envelope Elimination and Restoration (EER) technique with direct I and Q signal modulation, quite a different solution from the “conventional” approaches of EER and represents very a bandwidth efficient one. Hard-switching drivers as well as the optimized matching networks are used by the system to ensure that there is high power transfer capability and low distortion. In the design process the source impedance is optimized using a source pull simulation and the load impedance is optimized by using a load pull simulation; then, the L-type network is designed to realize optimal matching. For use in implementation, the Rogers RO-5880 material is applied using transmission lines set up through the microstrip techniques in a bid to reduce the losses and parasitic ones. Simulation results show that the QPA obtains a peak output power of 24.35dBm and a power-added efficiency (PAE) of 70% at 5.8 GHz. The best input and output impedances were: and , respectively. In addition, the envelope and transient simulations prove high-accuracy signal transmission and clean switching quality. This QPA design offers a power-efficient solution with better performance characteristics that makes it an attractive candidate for the future 5G communication systems that are to operate in the 5.8 GHz frequency band
Enhancement of Transient Stability and Power Quality in Grid-Connected PV Systems Using SMES
Full text linkOne of the main issues with grid-connected distributed energy systems, including photovoltaic (PV) systems, is the DC bus voltage's instability during load fluctuations and power line short circuits. This paper attempts to address this problem and proposes to use superconducting magnetic energy storage (SMES) to stabilize the voltage of the DC link and improve the power quality and transient stability of the power system. The investigated configuration components are PV cells, boost converter, chopper, SMES, three level inverter (NPC), filter, grid, and load. MATLAB / Sim Power System is used to test the performance of a SMES in order to ensure the balance of the DC bus voltage of a PV system connected to the grid. Several scenarios were considered to show the performance and benefits of combining a SMES with the PV system. The outcomes of the examined scenarios (fault and load change) demonstrate the precision of the employed control systems, maintaining the DC voltage at acceptable levels (?500 V), enhances the structure stability, and improving power quality (GPV THD = 4.34). Finally, it can be concluded that the proposed configuration will help in achieving high penetration scenarios of PV systems
Trend Analysis of Ergonomics in Improving Supply Chain Management Systematic Literature Review in Last Twenty Years: Knowledge Taxonomy
Full text linkThe last ten years have seen a rise in scholarly interest in ergonomics in the supply chain management (SCM) discipline because of technological advancements, as it’s possible effects on productivity, worker satisfaction, and overall business success become more apparent. Nevertheless, there aren't many review studies on the subject at hand. To overcome the restriction, the study thoroughly examined the body of research on ergonomics in SCM that is currently available to enhance comprehension of the state of knowledge. This research article examines peer-reviewed works that have been published between 2000 and 2024 and are accessible through the Scopus database. After thoroughly searching the literature using the Scopus database, 84 papers published in 27 peer-reviewed international journals were found. The current study examines the trend of publications in the area of the analysis of ergonomics in sustaining SCM as well as the most well-known and prolific authors and articles. Then, to find topic clusters, a bibliometric analysis was done with VOSviewer as the primary metric tool in this study for visualizing and analyzing the major hotspots and the evolution of ergonomics in SCM research. The using of co-citation analysis and bibliographic coupling to construct the network map uncovers intriguing themes and patterns in the field of ergonomics in SCM and that points to the need for greater international cooperation in tackling this problem. That’s why our work has improved our understanding of ergonomics in SCM, and the results have led to recommendations for further research
Enhanced Fault Tolerant Control for Double Fed Asynchronous Motor Drives in Electric Vehicles
Full text linkIn the dynamic realm of electrical system traction, when Electric Vehicles (EVs) operate at various speeds or require high levels of accuracy and reliability in propulsion, malfunctions or faults might occur. Therefore, the drive system must be capable of detecting, estimating, and accommodating these faults using the designed controllers. This paper proposes an efficient Fault-Tolerant Control (FTC) based on the Adaptive Neuro-Fuzzy Inference System (ANFIS) and an integrated Luenberger Observer (LO) for speed tracking control of an EV driven by a Double-Fed Asynchronous Motor (DFAM). The ANFIS controller and LO are employed to play two functions: One for sensorless control and the other for estimating the fault that affect the machine. The performance metrics and accuracy of the ANFIS process are tested using statistical parameters, sush as Root Mean Square Error (RMSE), and convergence analysis. We use a High-Order Sliding Mode Controller (HOSMC), as a nominal control for DFAM. Moreover, the efficacy of the suggested control is demonstrated by comparing its performance with conventional FTC. We have found that ANFIS improves both the precision and responsiveness of the FTC, demonstrating no peak overshoot as well. The obtained results prove that the FTC-based on ANFIS was more enhanced fault estimation accuracy, reduced error, and faster convergence than the conventional FTC methods. Finally, these significant improvments underscore the effectiveness of the suggested algorithm
Optimized Selective Harmonic Elimination in CHB-MLI Using Red-Tailed Hawk Algorithm for Unequal DC Sources
Full text linkThe study develops an optimized SHE procedure to regulate a CHB-MLI powered by PV modules which use unequal DC sources. The main goal involves finding suitable switching angles that produce minimal low-order harmonics during steady output voltage operation under variable input scenarios. The Red-Tailed Hawk Algorithm (RTHA) serves as a recent bio-inspired metaheuristic optimization method to solve effectively the nonlinear transcendental SHE equations. The MATLAB/Simulink environment implements a validation of the proposed method by modeling a three-phase 7-level CHB-MLI system. A performance evaluation of the proposed algorithm occurs against established optimization methods consisting of Particle Swarm Optimization (PSO) and Grey Wolf Optimization (GWO) and Whale Optimization Algorithm (WOA). Total Harmonic Distortion reduction, computational efficiency and convergence rate serve as the three main performance indicators for evaluation. The experimental findings show RTHA accomplishes higher harmonic reduction while offering improved speed and stability when dealing with unequal DC voltage issues when contrasted against traditional optimization methods. RTHA operates better than analytical approaches in real-world inverter applications through its flexible and adaptable approach despite needing complex calculations and preset conditions. The scale-up of RTHA applications requires additional research because excessive computational requirements and initial value dependencies must be addressed. The research shows that RTHA-based SHE optimization represents a viable and implementable solution for power quality advancement in renewable energy systems
Study and Analysis of the Second Order Constant Coefficients and Cauchy-Euler Equations via Modified Conformable Operator
Full text linkIn this paper, we are concerned with a new modified conformable operator. Such an operator makes the study very easy in fractional calculus because it satisfies the most properties as the usual derivative and gives exact solutions. Furthermore, we will analyze and study the second-order fractional linear homogeneous differential equation with constant coefficients, which has two reasons for the importance of these types of differential equations. First of all, they often arise in applications. Second, it is relatively easy to find fundamental sets of solutions to these equations. In addition, we will also analyze the related fractional Cauchy–Euler type equation, which is used in various fields, physics, engineering, etc. Finally, as an application, we will illustrate the method on some numerical examples of the mentioned type of fractional differential equations