Article
Automation & Control Systems
Peng Mei, Hamid Reza Karimi, Shichun Yang, Bin Xu, Cong Huang
Summary: This article proposes a novel fuzzy sliding-mode control scheme for energy management in electric vehicles. The effectiveness of the control lies in adjusting the sliding mode parameters to achieve the optimal slip ratio. The control method integrates the best battery condition and energy recovery efficiency and is validated in a simulation environment.
INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING
(2022)
Article
Computer Science, Artificial Intelligence
Ehsan Ranjbar, Amir Abolfazl Suratgar, Mohammad Bagher Menhaj, Mukesh Prasad
Summary: This article designs a proportional integral fuzzy adaptive sliding mode controller for the application of MEMS tunable capacitors in ac voltage reference sources. The research shows that this controller can effectively handle physical parametric uncertainties, noise, and disturbance, and provide stable output voltage.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2022)
Article
Engineering, Civil
Kang Xu, Liping Chen, Antonio M. Lopes, Mingwu Wang, Xiaochuan Li
Summary: A novel robust adaptive fuzzy variable fractional-order sliding mode control strategy is proposed to suppress earthquake-induced vibrations on uncertain building structures. The strategy combines the concepts of variable fractional-order calculus and sliding mode control to establish a new variable fractional-order sliding mode controller. The controller utilizes VFO fuzzy logic with online adaptive approximation to ensure robustness and superior performance in the presence of uncertain structure parameters and external unknown earthquake excitation.
ENGINEERING STRUCTURES
(2023)
Article
Mathematics
Chan Gu, Encheng Chi, Chujia Guo, Mostafa M. Salah, Ahmed Shaker
Summary: This paper presents a new method for tuning sliding mode control (SMC) parameters for a power system stabilizer (PSS) using a deep neural network, aiming to increase accuracy and improve performance. To overcome the problem of unwanted signals caused by fast switching, a boundary layer is introduced. The equations of a multi-machine power system are converted into the standard form of sliding mode control, and optimal values for the three unknown parameters are determined using a deep neural network. Simulation results demonstrate the effectiveness of the proposed method and highlight the significance of the deep neural network in the SMC structure compared to other methods.
Article
Automation & Control Systems
Haoyan Zhang, Xudong Zhao, Liang Zhang, Ben Niu, Guangdeng Zong, Ning Xu
Summary: In this article, an observer-based adaptive fuzzy hierarchical sliding mode control scheme is proposed for uncertain under-actuated switched nonlinear systems with quantized input signals. The problems of quantized input signals, external disturbances, unmeasured system states, and unknown nonlinear functions are considered. The proposed control scheme effectively avoids chattering phenomena and utilizes fuzzy logic systems and a switched fuzzy state observer for approximation and estimation. Based on Lyapunov stability theory, the scheme ensures boundedness of all signals and good tracking performance. A numerical simulation example is provided to verify its effectiveness.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2022)
Article
Automation & Control Systems
Mohd Iskandar Putra Azahar, Addie Irawan, R. M. T. Raja Ismail
Summary: This paper introduces a new robust control strategy developed for the pneumatic servo system, which hybridizes fuzzy logic control rules with integral sliding mode control to improve position and force feedback control effectiveness.
CONTROL ENGINEERING PRACTICE
(2021)
Article
Computer Science, Interdisciplinary Applications
Xiuxing Yin, Li Pan, Shibo Cai
Summary: The paper proposes a robust adaptive fuzzy sliding mode controller for uncertain serial robotic manipulators, achieving high precision control task with trajectory tracking accuracy and attenuation of uncertainties. The control algorithm is compared to a conventional controller and shows better trajectory tracking performance and robustness against large disturbances under the same operating conditions.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2021)
Article
Automation & Control Systems
Xinyi Su, Xiaofeng Yang, Yunlang Xu
Summary: This paper presents a new fuzzy adaptive terminal sliding mode control method for a reluctance-motor maglev system (RMMS) with limited system information, based on a novel full-regulated recurrent neural network (RNN) compensator. The proposed method can handle uncertainties, external disturbances, and adjust the switching gain by the dynamic information of the system to reduce overestimation. The experimental results demonstrate nanoscale suspension accuracy, significant chattering suppression, and strong robustness.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2023)
Article
Computer Science, Artificial Intelligence
Fan Zhang, Panfeng Huang
Summary: This article proposes a TSNR control scheme based on fuzzy sliding-mode control, utilizing adaptive super-twisting sliding-mode control with a fuzzy estimator to eliminate uncertainty. The main advantage of this scheme is the improvement of the traditional ASTSMC's passive adaptation law to an active law, while also being able to directly estimate and suppress complex oscillations.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2021)
Article
Automation & Control Systems
Irfan Sami, Shafaat Ullah, Nasim Ullah, Jong-Suk Ro
Summary: This paper presents a high-performance control system for wind power generation based on fuzzy fractional-order terminal sliding mode control, which achieves a balance between control performance and chattering elimination through the boundary layer approach. Additionally, a novel wind speed estimation technique based on Gaussian process regression is proposed.
Article
Engineering, Aerospace
Lei Xing, Jianqiao Zhang, Chuang Liu, Xiao Zhang
Summary: This paper investigates the attitude tracking control problem for spacecraft with limited communication using event-triggered based sliding mode control theory. By developing the attitude dynamics directly on the special orthogonal group SO(3), singularities and ambiguities associated with other attitude representations are avoided. The proposed coordinate-free adaptive event-triggered sliding mode controller effectively decreases the communication burden and ensures the closed-loop system to be uniformly ultimately bounded.
AEROSPACE SCIENCE AND TECHNOLOGY
(2021)
Article
Automation & Control Systems
Zeyu Li, Junyong Zhai
Summary: A novel fuzzy adaptive sliding mode control method is proposed in this paper for achieving asymptotic trajectory tracking of robotic manipulators with control backlash and uncertainties. The fuzzy logic system is introduced to estimate the system uncertainties in the sliding mode control. To compensate for the unknown lumped disturbance and accelerate the convergence process, an adaptive super-twisting sliding mode controller is proposed with a novel adaptive law. The system states reach the sliding mode surface in a finite time and the control effect is continuous without over-estimation and control chattering. According to the Lyapunov stability theory, the tracking error converges to zero in a fast-exponential form. The effectiveness of the proposed method is fully demonstrated through simulation of a robotic manipulator system.
INTERNATIONAL JOURNAL OF FUZZY SYSTEMS
(2023)
Article
Engineering, Aerospace
Smain Dilmi
Summary: This paper presents an adaptive fuzzy sliding mode controller (AFSMC) for the control of a nonlinear aeroelastic wing section. The controller estimates the model dynamics of the system and the switching control of the sliding mode. The strategy of the controller is to enhance quality and ensure flight safety by providing additional damping and increasing flight speed.
JOURNAL OF AEROSPACE ENGINEERING
(2022)
Article
Engineering, Multidisciplinary
Zia Ullah, Shaorong Wang, Jinmu Lai, Muhammad Azam, Fazal Badshah, Guoan Wu, Mohamed R. Elkadeem
Summary: A hybrid microgrid is an energy system consisting of various power sources and an energy management system to ensure system stability and balance. It can operate connected to the electrical grid or independently. The battery storage system is a key component and different controllers are used for load demand and energy management. This paper provides an overview of energy management and control in hybrid microgrids, presenting control methods such as artificial neural network, fuzzy logic, sliding mode controller, and proportional integral derivative. The performance of these controllers is compared in terms of voltage control, frequency stabilization, and energy saving.
AIN SHAMS ENGINEERING JOURNAL
(2023)
Article
Engineering, Aerospace
Shihong Gao, Yuanwei Jing, Georgi M. Dimirovski, Yan Zheng
Summary: The study addresses the problem of finite-time attitude-tracking control for a rigid spacecraft, proposing a fast nonsingular terminal sliding mode manifold and integrating a fuzzy logic system to handle unknown functions. An enhanced fault-tolerant control scheme is developed using these techniques, and numerical experiments verify its effectiveness.
Article
Engineering, Electrical & Electronic
Wandry R. Faria, Gregorio Munoz-Delgado, Javier Contreras, Benvindo R. Pereira Jr
Summary: This paper proposes a new bilevel mathematical model for competitive electricity markets, taking into account the participation of distribution systems operators. A new pricing method is introduced as an alternative to the inaccessible dual variables of the transmission system.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Chao Zhang, Liwei Zhang, Dong Wang, Kaiyuan Lu
Summary: The load disturbance rejection ability of electrical machine systems is crucial in many applications. Existing studies mainly focus on improving disturbance observers, but the speed response control during the transient also plays a significant role. This paper proposes a sliding mode disturbance observer-based load disturbance rejection control with an adaptive filter and a Smith predictor-based speed filter delay compensator to enhance the transient speed response.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Arif Hussain, Arif Mehdi, Chul-Hwan Kim
Summary: The proposed scheme in this research paper is a communication-less islanding detection system based on recurrent neural network (RNN) for hybrid distributed generator (DG) systems. The scheme demonstrates good performance in feature extraction, feature selection, and islanding detection, and it also performs effectively in noisy environments.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Zonghui Sun, Xizheng Guo, Shinan Wang, Xiaojie You
Summary: This paper presents a status pre-matching method (SPM) that eliminates the iterative calculations for resistance switch model, and simulates all operation modes of PECs through a more convenient approach. Furthermore, a FPGA implementation scheme is proposed to fully utilize the multiplier units of FPGA.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Rui Zhou, Shuheng Chen, Yang Han, Qunying Liu, Zhe Chen, Weihao Hu
Summary: In power system scheduling with variable renewable energy sources, considering both spatial and temporal correlations is a challenging task due to the complex intertwining of spatiotemporal characteristics and computational complexity caused by high dimensionality. This paper proposes a novel probabilistic spatiotemporal scenario generation (PSTSG) method that generates probabilistic scenarios accounting for spatial and temporal correlations simultaneously. The method incorporates Latin hypercube sampling, copula-importance sampling theory, and probability-based scenario reduction technique to efficiently capture the spatial and temporal correlation in the dynamic optimal power flow problem. Numerical simulations demonstrate the superiority of the proposed approach in terms of computational efficiency and accuracy compared to existing methods.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Juan Manuel Mauricio, J. Carlos Olives-Camps, Jose Maria Maza-Ortega, Antonio Gomez-Exposito
Summary: This paper proposes a simplified thermal model of VSC, which can produce accurate results at a low computational cost. The model consists of a simple first-order thermal dynamics system and two quadratic equations to model power losses. A methodology is also provided to derive the model parameters from manufacturer data.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Jae-Kyeong Kim, Kyeon Hur
Summary: This paper investigates the relationship between the accuracy of finite difference-based trajectory sensitivity (FDTS) analysis and the perturbation size in non-smooth systems. The study reveals that the approximation accuracy is significantly influenced by the perturbation size, and linear approximation is the most suitable method for practical applications.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Yuan Si, Amjad Anvari-Moghaddam
Summary: This paper investigates the impact of geomagnetic disturbances on small signal stability in power systems and proposes the installation of blocking devices to mitigate the negative effects. Quantitative evaluation reveals that intense geomagnetic disturbances significantly increase the risk of small signal instability. Optimal placement of blocking devices based on sensitivity scenarios results in a significant reduction in the risk index compared to constant and varying induced geoelectric fields scenarios.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Xuejian Zhang, Wenxin Kong, Nian Yu, Huang Chen, Tianyang Li, Enci Wang
Summary: The intensity estimation of geomagnetically induced currents (GICs) varies depending on the method used. The estimation using field magnetotelluric (MT) data provides the highest accuracy, followed by the estimation using 3D conductivity models and the estimation using a 1D conductivity model. The GICs in the North China 1000-kV power grid have reached a very high-risk level, with C3 and C4 having a significant impact on the geoelectric field and GICs.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Yue Pan, Shunjiang Lin, Weikun Liang, Xiangyong Feng, Xuan Sheng, Mingbo Liu
Summary: This paper introduces the concept and model of offshore-onshore regional integrated energy system, and proposes a stochastic optimal dispatch model and an improved state-space approximate dynamic programming algorithm to solve the model. The case study demonstrates the effectiveness and high efficiency of the proposed method in improving economic and environmental benefits.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Mohammad Eydi, Reza Ghazi, Majid Oloomi Buygi
Summary: Proportional current sharing, voltage restoration, and SOCs balancing in DC microgrid control algorithms are the leading challenges. This paper proposes a novel communication-less control method using a capacitor and a DC/DC converter to stabilize the system and restore the DC bus voltage. The method includes injecting an AC signal into the DC bus, setting the current of energy storage units based on frequency and SOC, and incorporating droop control for system stability. Stability analysis and simulation results validate the effectiveness of the proposed method.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Xiangjian Meng, Xinyu Shi, Weiqi Wang, Yumin Zhang, Feng Gao
Summary: With the increasing penetration of photovoltaic power generation, regional power forecasting becomes critical for stable and economical operation of power systems. This paper proposes a minute-level regional PV power forecasting scheme using selected reference PV plants. The challenges include the lack of complete historical power data and the heavy computation burden. The proposed method incorporates a novel reference PV plant selection method and a flexible approach to decrease the accumulated error of rolling forecasting.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Huabo Shi, Yuhong Wang, Xinwei Sun, Gang Chen, Lijie Ding, Pengyu Pan, Qi Zeng
Summary: This article investigates the dynamic stability characteristics of the full size converter variable speed pumped storage unit and proposes improvements for the control strategy. The research is important for ensuring the safe and efficient operation of the unit.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Firmansyah Nur Budiman, Makbul A. M. Ramli, Houssem R. E. H. Bouchekara, Ahmad H. Milyani
Summary: This paper proposes an optimal harmonic power flow framework for the daily scheduling of a grid-connected microgrid, which addresses power quality issues and ensures effective control through demand side management.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Cong Zeng, Ziyu Chen, Jizhong Zhu, Fellew Ieee
Summary: This paper introduces a distributed solution method for the multi-objective OPF problem, using a coevolutionary multi-objective evolutionary algorithm and the idea of decomposition. The problem is alleviated by decomposing decision variables and objective functions, and a new distributed fitness evaluation method is proposed. The experimental results demonstrate the effectiveness of the method and its excellence in large-scale systems.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)