Article
Chemistry, Multidisciplinary
Hui Li, Yanbo Hui, Jun Ma, Qiao Wang, Ying Zhou, Hongxiao Wang
Summary: This paper proposes a variable universe fuzzy multi-parameter self-tuning PID (VUFMS-PID) control strategy for controlling the movement of the trolley in a bridge-type bridge crane. The strategy dynamically adjusts the number of fuzzy control rules based on the system error and error rate of change using scaling factor variation. The proposed control strategy improves control accuracy and enhances the stability and safety of the crane.
APPLIED SCIENCES-BASEL
(2023)
Article
Engineering, Electrical & Electronic
Yundong Tang, Hang Su, Tao Jin, Rodolfo Cesar Costa Flesch
Summary: Magnetic nanofluid hyperthermia (MNH) is a method that uses magnetic nanoparticles (MNPs) exposed to an alternating magnetic field to generate heat and damage malignant cells. This study proposes a control method for an MNH system using a proportional-integral-derivative (PID) control algorithm and dynamically optimizing the PID coefficients with a simulated annealing (SA) algorithm. The proposed system effectively modulates the power dissipation of MNPs and accurately regulates the treatment temperature to the desired value, while also adapting to changes in the nanofluid concentration distribution during therapy.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2023)
Article
Computer Science, Information Systems
Tianlei Wang, Nanlin Tan, Jiongzhi Qiu, Yanjiang Yu, Xianwen Zhang, Yikui Zhai, Ruggero Donida Labati, Vincenzo Piuri, Fabio Scotti
Summary: The study introduces a novel Global-Equivalent Sliding Mode Controller (GESMC) for anti-swing positioning control of bridge crane system, which improves robustness by keeping the system states in the sliding surface and effectively reducing chattering. The controller demonstrates effectiveness and robustness in simulations, proving its ability to achieve stable control under uncertain model parameters and external disturbances.
Article
Engineering, Electrical & Electronic
Li Tang, Yuntao Li, Yan-Jun Liu
Summary: This article mainly studies the event-triggered control problem of the crane bridge system modeled by PDEs. Additionally, the uncertain system parameter is considered and solved using the adaptive approach. An event-triggered mechanism is introduced in the controller design to reduce resource consumption, communication pressure, and increase the system's working capacity. The stability of the system is analyzed and the occurrence of the Zeno phenomenon is successfully avoided. The effectiveness of the proposed control strategy is verified through simulation results.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2023)
Article
Computer Science, Artificial Intelligence
Abdulsamed Tabak, Ilhan Ilhan
Summary: In this study, a novel hybrid Simulated Annealing-Genetic Algorithm (hSA-GA) is proposed and tested on benchmark functions. It is then applied to tune PID parameters and optimize the control performance of automatic generation control (AGC) in power systems.
APPLIED SOFT COMPUTING
(2022)
Article
Multidisciplinary Sciences
Kabeer Ahmed Bhatti, Sohail Asghar
Summary: This paper proposes a hybrid mechanism, PFP-PID controller, based on PSO and fuzzy logic for congestion control in wireless sensor networks. Simulation experiments in NS3 show that the proposed controller outperforms other methods, significantly improving packet delivery ratio and reducing packet loss, transmission delay, and queue length deviation.
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING
(2023)
Article
Mathematics, Interdisciplinary Applications
Sultan Alghamdi, Hatem F. F. Sindi, Muhyaddin Rawa, Abdullah A. A. Alhussainy, Martin Calasan, Mihailol Micev, Ziad M. M. Ali, Shady H. E. Abdel Aleem
Summary: This study proposes a new approach for regulator design in the AVR loop by modeling the AVR system as a DISO system and using a novel objective function and metaheuristic algorithm. Experimental and literature comparisons demonstrate the efficiency and applicability of the proposed method in practice.
FRACTAL AND FRACTIONAL
(2022)
Article
Mathematics
Jie Fu, Jian Liu, Dongkai Xie, Zhe Sun
Summary: To solve the problem of crane anti-swing, fuzzy PID is a common method. However, configuring the parameters of fuzzy PID requires significant effort and time from professionals. This paper introduces the LSO algorithm with stray operator, which enhances its global search capability. By combining SLSO and fuzzy PID and comparing them with other methods, this paper demonstrates that the optimization algorithm can find suitable parameter configuration for fuzzy PID without targeted optimization by professionals, making it effectively applicable to the crane anti-swing problem.
Article
Engineering, Biomedical
M. Ashmi, V. M. Akhil
Summary: Suitable controllers are designed and implemented for the knee and hip joints of a pneumatically actuated orthosis. PID controlled pneumatic orthosis exhibits less oscillation and improved steady-state error compared to other controllers, replicating healthy gait.
Article
Engineering, Electrical & Electronic
Chang Wan, Jiawei Yang, Ling Zhou, Shuo Wang, Jie Peng, Yu Tan
Summary: This paper improves the precision of variable-rate fertilization in orchards by conducting simulations and experimental research. A BP neural network adaptive PID controller based on particle swarm optimization is proposed to enhance the control precision of the system. Experimental results show improved variable-rate fertilization performance parameters.
Article
Engineering, Mechanical
Shengzeng Zhang, Xiongxiong He, Haiyue Zhu, Xiaocong Li, Xinggao Liu
Summary: A new control method is proposed in this study for stabilizing an overhead crane subject to both parametric uncertainty and input saturation. By setting a new Lyapunov function for the assignable equilibrium with appropriate tuning gains, a structurally simple controller is generated. The proposed controller takes advantage of the coupled dissipation term and its integral action, achieving oscillation suppression and precision positioning.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2022)
Article
Construction & Building Technology
Hao Feng, Wei Ma, Chenbo Yin, Donghui Cao
Summary: This study introduces an improved PSO algorithm for optimizing PID controller coefficients, achieving higher trajectory tracking accuracy and faster convergence by incorporating nonlinear adaptive methods and elite mutation strategies.
AUTOMATION IN CONSTRUCTION
(2021)
Article
Chemistry, Analytical
Yaoyu Shen, Ying-Qing Guo, Xiumei Zha, Yina Wang
Summary: This paper proposes a control algorithm for the electro-hydraulic servo displacement system in real-time hybrid testing, which uses the PSO algorithm to optimize the PID parameters and the feed-forward compensation algorithm for displacement compensation. The algorithm effectively improves the accuracy and response speed of the electro-hydraulic servo displacement system and solves the problems of time lag, large error, and slow response in real-time hybrid testing.
Article
Engineering, Electrical & Electronic
Zhen Yu, Hao-Ming Dong, Chang-Ming Liu
Summary: In this study, a three-dimensional dynamic mathematical model of a bridge crane is developed to analyze the force situation during a working cycle. The change of the swing angle of the crane is studied through simulation analysis under the driving force and wind load. Fuzzy control theory is used to determine the control parameter in the anti-sway control process. The anti-sway fuzzy control system of the bridge crane is designed and simulated. The research results show that the swing model of the crane is reasonable and the fuzzy PID anti-sway controller can effectively realize the anti-sway function of the bridge crane by improving the adaptability of the control system and overcoming overshoot.
Article
Engineering, Mechanical
Tianlei Wang, Chengmin Lin, Renxing Li, Jiongzhi Qiu, Yuebang He, Zhiheng Zhou, Guangfan Qiu
Summary: In this study, an enhanced coupled nonlinear control strategy based on feedforward compensation was proposed to improve the performance of bridge crane control methods. Composite signals were introduced to enhance the coupling between the system states and improve the transient performance of the controller. The effectiveness of the proposed method was verified through simulation and experimental results.
NONLINEAR DYNAMICS
(2023)