Article
Automation & Control Systems
Jiajin He, Min Xiao, Yunxiang Lu, Zhen Wang, Wei Xing Zheng
Summary: This paper introduces a fractional-order proportional-integral-derivative (PID) controller to control the dynamic evolution of network congestion. A congestion model with fractional-order PID controller is constructed and the tipping point induced by Hopf bifurcation of the uncontrolled model is studied. The tipping point can be delayed with the controller. Conditions for the occurrence of Hopf bifurcation are given and the stable and unstable ranges of control parameters for the controlled model are deduced. Simulated examples are provided to verify the theoretical results and demonstrate the superiority of the controller in tipping regulation. The bidirectional effects of the controller are also displayed by manipulating the control parameters.
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
(2023)
Article
Mathematics, Interdisciplinary Applications
Banu Ataslar-Ayyildiz
Summary: The design and implementation of a FOPTID controller based on the fractional calculus concept for a 3-DOF serial robotic manipulator has been proposed in this work. The controller parameters were optimized using a GWO-PSO algorithm to achieve high accuracy trajectory tracking and reduce disturbances. Results showed that the proposed controller outperformed other controllers in terms of trajectory tracking performance and robustness under various operating conditions, with 20.2% to 44.5% reduction in joint tracking errors. Moreover, the proposed controller also exhibited reduced energy consumption compared to others.
FRACTAL AND FRACTIONAL
(2023)
Article
Automation & Control Systems
Pengchong Chen, Ying Luo, Yibing Peng, YangQuan Chen
Summary: This paper introduces a tuning procedure combining frequency-domain and time-domain specifications to obtain an optimal robust fractional order PID-D-lambda controller for FOPTD processes. The proposed controller ensures systemic stability, robustness to gain variations, and optimal dynamic performance, outperforming other controllers.
Article
Mathematics, Interdisciplinary Applications
Banu Ataslar-Ayyildiz, Oguzhan Karahan, Serhat Yilmaz
Summary: This study focuses on controlling and stabilizing Maglev systems using fractional order controllers and a hybrid tuning method of GWO-PSO algorithms to achieve robust stability and disturbance rejection. Different control approaches such as fractional order PID, fractional order sliding mode, and fractional order Fuzzy control methods are applied to enhance the control performance of the Maglev system. The simulation results show that the fractional controllers demonstrate better control performance, fast and robust stability, and excellent disturbance suppression effect, proving effective in dealing with the nonlinearity and uncertainty in the Maglev system.
FRACTAL AND FRACTIONAL
(2021)
Article
Computer Science, Artificial Intelligence
Lu Liu, Dingyu Xue, Shuo Zhang
Summary: This paper proposes a fuzzy fractional-order PID control algorithm for a general type industrial temperature control system. A fractional-order elementary system is used to describe the temperature control process, aiming to improve production quality and controlled model accuracy. The gain coefficients of the proposed fractional-order PID controller are updated online based on a set of fractional-order fuzzy rules defined by Mittag-Leffler functions. The effectiveness of the proposed controller is verified through examples of temperature control systems, demonstrating its superior dynamic performance and robustness to internal and external disturbances caused by environment changes.
COMPLEX & INTELLIGENT SYSTEMS
(2023)
Article
Automation & Control Systems
Ladan Khoshnevisan, Xinzhi Liu
Summary: This article focuses on congestion control in wireless access networks and proposes a robust active queue management technique based on adaptive fractional order predictive sliding mode control. The proposed technique ensures stability of the nonlinear system with input delay, prevents congestion, achieves robustness against external disturbances, and limits the input signal obtained by the controller between 0 and 1. The article also eliminates chattering phenomena using adaptive laws for controller parameters. Theoretical results are validated through numerical simulations and compared with other protocols.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2022)
Article
Computer Science, Artificial Intelligence
Iraj Nasiri, Nazila Nikdel
Summary: An adaptive fractional-order controller is introduced to solve the congestion problem of computer networks, ensuring robustness against disturbances and uncertainties, as well as providing fast and stable response with zero tracking error. The controller proves to be an effective method for TCP/AQM networks, with results showing its efficiency and superiority over other control approaches for congestion.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Engineering, Marine
Lu Liu, Lichuan Zhang, Guang Pan, Shuo Zhang
Summary: Autonomous underwater vehicles (AUVs) have significant research attention in marine science and technology due to their wide applications and ability to replace humans in dangerous operations. In this study, a robust fractional-order proportional-integral-derivative (FOPID) controller design for an AUV yaw control system is proposed. The simulation results demonstrate the superior robustness and transient performance of the proposed control algorithm.
Article
Energy & Fuels
Halil Erol
Summary: This article proposes a robust delay dependent stability analysis of the pitch control system of large wind turbines with communication time delay, utilizing fractional order PID controller and FOPID controller for pitch angle control. The study employs an exact method in frequency domain for stability analysis and achieves larger delay margins through appropriate selection of controller parameters. Furthermore, a more robust control scheme is presented and analyzed with better performance metrics compared to previous studies in the literature.
SUSTAINABLE ENERGY GRIDS & NETWORKS
(2021)
Article
Automation & Control Systems
Zhijie Li, Jie Ding, Min Wu, Jinxing Lin
Summary: A discrete fractional order PID controller for nonlinear systems is proposed in this study, utilizing a U-model to transform nonlinear systems into linear-like models for simplified controller design. The new control law in difference equation includes two additional adjustable parameters and its robust stability is analysed. Deterministic and stochastic examples are used to demonstrate the effectiveness and superiority of the proposed controller.
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
(2021)
Article
Engineering, Multidisciplinary
Mujahed Al-Dhaifallah
Summary: This study focuses on the fractional-order fuzzy PID controller and its application in tubular heat exchangers. Comparisons with the conventional PID control scheme show that the recommended control strategy performs better in varying and load-changing environments.
ALEXANDRIA ENGINEERING JOURNAL
(2023)
Article
Computer Science, Artificial Intelligence
Raafat Shalaby, Mohammad El-Hossainy, Belal Abo-Zalam, Tarek A. Mahmoud
Summary: In this paper, an online optimization approach of a fractional-order PID controller based on a fractional-order actor-critic algorithm (FOPID-FOAC) is proposed to improve the performance of nonlinear systems. The effectiveness of the proposed approach is proven by extensive simulations and compared against other control algorithms.
NEURAL COMPUTING & APPLICATIONS
(2023)
Article
Automation & Control Systems
Anand Kumar, Somnath Pan
Summary: This work presents a frequency-domain approach for designing a fractional order proportional-integral-derivative (FO-PID) controller with a first-order filter for load frequency control (LFC) systems with communication delay. The proposed method utilizes a reference model developed through direct synthesis and frequency response matching technique. The controllers are compared with existing controllers in terms of dynamics and non-linearity, and have been shown to work effectively in a decentralized multi-area system with variable communication delay.
Article
Automation & Control Systems
Tao Xia, Zhengjiang Zhang, Zhihui Hong, Shipei Huang
Summary: This paper proposes a parameter tuning method for FOPID based on the minimum variance control (MVC) rule, applied in both SISO and MIMO control systems. The influence of measurement noise is considered and the dynamic data reconciliation (DDR) technology is applied to improve the control performance of the designed FOPID.
Article
Automation & Control Systems
Abbas-Ali Zamani, Sadegh Etedali
Summary: This paper proposed an optimal interval type-2 fractional-order fuzzy proportional-integral-derivative controller (OIT2FOFPIDC), which combines the interval type-2 fuzzy logic controller (IT2FLC) with the fractional-order proportional-integral-derivative (FOPID) controller, to enhance the seismic performance and robustness in seismic structural control applications. The decentralized framework of the OIT2FOFPIDC based on energy concepts was proposed for easy implementation. A coot optimization algorithm (COA) was applied to adjust the membership functions (MFs), scaling factors, and controller parameters. The comparison of four controllers showed that OIT2FOFPIDC outperformed the others in terms of seismic performance and robustness against uncertainties due to structural stiffness.
Article
Automation & Control Systems
Behnaz Babaghorbani, Mohammad Taghi Hamidi Beheshti, Heidar Ali Talebi
ASIAN JOURNAL OF CONTROL
(2019)
Article
Engineering, Electrical & Electronic
Elnaz Azizi, Amin Mohammadpour Shotorbani, Mohhamd-Taghi Hamidi-Beheshti, Behnam Mohammadi-Ivatloo, Sadegh Bolouki
IEEE TRANSACTIONS ON CONSUMER ELECTRONICS
(2020)
Article
Green & Sustainable Science & Technology
Elnaz Azizi, Mohammad T. H. Beheshti, Sadegh Bolouki
Summary: This paper proposes a novel event-based NILM classification algorithm that accurately detects appliance operation modes from power signals and addresses issues existing in current NILM methods.
Article
Engineering, Electrical & Electronic
Keywan Mohammadi, Elnaz Azizi, Jeewon Choi, Mohammad-Taghi Hamidi-Beheshti, Ali Bidram, Sadegh Bolouki
Summary: This paper introduces a distributed secondary voltage and frequency control scheme for an islanded AC microgrid under event-triggered communication, which is able to handle the consensus problem in case of asynchronous communication. Under this scheme, each distributed generator can independently check its triggering condition without the need to synchronize to a common clock, leading to an efficient reduction in communication rate.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2021)
Article
Engineering, Electrical & Electronic
Elnaz Azizi, Mohammad T. H. Beheshti, Sadegh Bolouki
Summary: This paper introduces a non-intrusive load monitoring approach to detect anomalies in electrical appliances, based on power distribution and the participation index of appliances. The method is cost-efficient, respects consumer privacy and comfort, and proves to be effective in increasing NILM accuracy and reducing energy waste.
IEEE TRANSACTIONS ON CONSUMER ELECTRONICS
(2021)
Article
Engineering, Multidisciplinary
Mohammadreza Ghorvei, Mohammadreza Kavianpour, Mohammad T. H. Beheshti, Amin Ramezani
Summary: Deep learning-based approaches for diagnosing bearing faults face challenges in real-world applications, such as the need for labeled data, distribution differences in training and test data, and noise impact. This study introduces the DSACNN method to overcome these challenges and validates its superiority in anti-noise performance and reduction of domain distribution discrepancies compared to other methods.
MEASUREMENT SCIENCE AND TECHNOLOGY
(2022)
Article
Engineering, Electrical & Electronic
Elnaz Azizi, Mohammad T. H. Beheshti, Sadegh Bolouki
Summary: Non-intrusive load monitoring (NILM) is an efficient approach to energy management that extracts appliance consumption by analyzing aggregated signals. The presence of numerous appliances and appliances with similar consumption values poses challenges for event-based NILM methods. Semi-intrusive load monitoring offers an alternative where appliances are divided into blocks and monitored using separate power smart meters. However, this approach increases the cost of load monitoring.
IEEE TRANSACTIONS ON SMART GRID
(2022)
Article
Automation & Control Systems
Bahar Rahmatizadeh, Mohamad Taghi Hamidi Beheshti, Masoumeh Azadegan, Mahmoud Najafi
Summary: The paper transforms the KM model and designs an SMC controller to regulate bubble radius and prevent collapse. The controller demonstrates robustness and eliminates chattering produced by SMC.
INTERNATIONAL JOURNAL OF DYNAMICS AND CONTROL
(2021)
Article
Engineering, Electrical & Electronic
Mehdi Doostinia, Mohammad T. H. Beheshti, Seyed A. Alavi, Josep M. Guerrero
Summary: A novel distributed secondary layer control strategy based on average consensus and fractional-order proportional-integral (FOPI) local controllers is proposed for the regulation of the bus voltages and energy level balancing in DC microgrids. The use of fractional-order local controllers increases the tuning flexibility of closed-loop controllers and improves the regulation of bus voltages in microgrids with high order dynamics. The performance of the proposed control strategy is validated in a 38-V DC microgrid case study with 10 buses and a photovoltaic renewable energy source, operating in both islanded and grid-connected modes.
Article
Automation & Control Systems
Mojtaba Ranjbar, Mohammad T. H. Beheshti, Sadegh Bolouki
Summary: In this research, a novel distributed event-triggered approach is proposed to address the formation control problem of multi-agent systems with directed communication graphs, eliminating the possibility of Zeno behavior through periodic samplings of agent states. The study shows that, under simple verifiable conditions, the proposed control strategy achieves the desired formation of agents. The results are verified through numerical examples.
IEEE CONTROL SYSTEMS LETTERS
(2021)
Proceedings Paper
Biophysics
Ali Yousefi, Reza Kakooee, Mohammad Th. Beheshti, Darin D. Dougherty, Emad N. Eskandar, Alik S. Widge, Uri T. Eden
2017 39TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC)
(2017)
Proceedings Paper
Engineering, Electrical & Electronic
Rahim Delavar, Babak Tavassoli, Mohammad Taghi Hamidi Beheshti
2017 25TH IRANIAN CONFERENCE ON ELECTRICAL ENGINEERING (ICEE)
(2017)
Article
Automation & Control Systems
Masoumeh Azadegan, Mohammad T. H. Beheshti
ASIAN JOURNAL OF CONTROL
(2017)
Proceedings Paper
Automation & Control Systems
Mahmoud Najafi, Masoumeh Azadegan, Mohammad Taghi Beheshti
2016 AMERICAN CONTROL CONFERENCE (ACC)
(2016)