Article
Automation & Control Systems
Wentao Liu, Tong Zhao
Summary: This paper introduces an ADRC scheme using RBF neural networks for adaptive control of non-affine nonlinear systems. The dual-channel composite controller combines adaptive neural networks with ADRC design techniques, showing effectiveness in experiments.
Article
Engineering, Aerospace
Romulus Lungu, Mihai Lungu, Claudia Efrim
Summary: This paper addresses satellite attitude control using double-gimbal magnetically suspended control moment gyros (DGMSCMGs). The dynamics of the DGMSCMGs and the satellite equipped with a DGMSCMG actuator are presented. An adaptive attitude control system is then designed based on the dynamic inversion control technique and a neural network. The proposed control architecture demonstrates excellent performance in terms of convergence errors cancellation, angular rate precision, and robustness to external disturbances.
AEROSPACE SCIENCE AND TECHNOLOGY
(2022)
Article
Engineering, Aerospace
Tengfei Zhang, Rongjun Mu
Summary: This paper proposes an attitude adaptive control strategy to solve the attitude tracking control problem of a struck or pierced geocentric polar displaced solar sail (GPDSS) under the complex conditions of unknown inertial parameters, external disturbance, and input saturation. A disturbance estimator is designed using a radial basis function neural network with an adaptive law to estimate the integrated disturbance in real time. A sliding-mode controller with fixed-time convergence and finite-time stability is then designed, and stability analysis is conducted using the Lyapunov theory. Comparative and numerical simulations validate the effectiveness of the proposed strategy in achieving attitude tracking control of the GPDSS.
Article
Engineering, Chemical
Ming-Li Zhang, Yi-Jie Zhang, Xiao-Long He, Zheng-Jie Gao
Summary: This paper proposes a method using double-layer BP neural networks to learn the law of PID control parameters, which was verified to be effective through simulation and experiment. It provides theoretical and experimental basis for the selection of control parameters, and can be extended to similar controllers, showing engineering application value.
Article
Automation & Control Systems
Guodong You, Bin Xu, Yang Cao, Xiaoxin Hou, Shuangle Zhao, Wei Liao
Summary: In this article, an adaptive fuzzy finite-time fault-tolerant control scheme is proposed for uncertain non-linear systems under sensor faults. The scheme solves the coupling between fault parameters and actual states using fault parameters separation method. Fuzzy logic system is utilized to approximate the unknown functions and an adaptive fault-tolerant controller is designed using backstepping technology. The effectiveness of the proposed scheme is verified through numerical and physical system simulations.
IET CONTROL THEORY AND APPLICATIONS
(2022)
Article
Engineering, Chemical
Yan Zhang, Ya-Jun Wang, Yong Zhang, Tong Yu
Summary: In this paper, a novel PV fuzzy MPPT algorithm based on an adaptive genetic simulated annealing-optimized BP neural network is proposed. The algorithm utilizes adaptive genetic algorithm and simulated annealing to optimize the BP neural network for improving the maximum power point tracking of photovoltaic cells.
Article
Computer Science, Information Systems
Zhenyu Feng, Jiawei Wang, Neng Wan, Huayi Li
Summary: This paper investigates the attitude synchronization tracking problem for spacecraft formation flying using sliding-mode control and a Chebyshev neural network. A distributed attitude cooperative controller is designed to ensure that individual spacecrafts can track the reference attitude of the virtual leader in the presence of disturbances and uncertainties. An adaptive ChNN is introduced to approximate the system uncertainties and disturbances, and a switch function is used to limit the output of the ChNN. An auxiliary control system is also designed to counteract the nonlinearity caused by input saturation. A numerical simulation example is provided to demonstrate the robustness and effectiveness of the proposed control scheme.
Article
Engineering, Aerospace
Shuai Yuan, Tianhe Liu, Yixin Huang
Summary: This article proposes a switched adaptive resilient control method for missile autopilot systems, which approximates the nonlinear longitudinal dynamics of missiles by a piecewise linear system and develops an adaptive fault-tolerant mechanism. The use of time-varying positive-definite matrices in the adaptive laws ensures a decreasing Lyapunov function at switching instants, crucial for error-bounded tracking and compensating for actuator failures. The stability guarantee and tracking performance are verified through simulations for missile autopilot design under various operating conditions.
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS
(2021)
Article
Mathematics, Interdisciplinary Applications
Jafar Tavoosi, Yavar Azarakhsh, Ardashir Mohammadzadeh, Saleh Mobayen, Jihad H. Asad, Rabia Safdar
Summary: This paper introduces a recurrent type-2 fuzzy RBFN-based model reference adaptive control system to better deal with nonlinear, time-varying, and multivariable systems. By more precisely modeling the boiler and its pressure relations, and introducing various uncertainties to compensate for the uncertainty and inaccuracy of the model, the efficiency of boiler control is improved.
Article
Engineering, Multidisciplinary
Jingbo Zhou, Kai Wang, Guang Yang, Xiaohong Liu, Renjie Du, Yuehua Li
Summary: This paper proposes a universal method to evaluate the uncertainty of center extraction results obtained from classical methods in order to address the key issue of center extraction in line structured light sensors.
Article
Engineering, Electrical & Electronic
Abd Alelah Derbas, Arman Oshnoei, Maher A. A. Azzouz, Ahmed S. A. Awad, Frede Blaabjerg, Amjad Anvari-Moghaddam
Summary: This article proposes an adaptive active control approach for damping the low-frequency oscillations in a dc microgrid (DC-MG). The DC-MG is comprised of hybrid power sources (HPSs) formed by a parallel set of supercapacitor modules and photovoltaic systems. The HPS controller includes a multiloop voltage controller for adjusting the DC-MG voltage and a virtual impedance loop for damping current oscillations.
IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN POWER ELECTRONICS
(2023)
Article
Engineering, Multidisciplinary
Peng Hou, Yang Pei, Yu-xue Ge
Summary: An adaptive fuze-warhead coordination method based on the BP-ANN is proposed, which effectively improves the damage efficiency of air defense missiles against aircraft targets by determining the optimal detonation position using missile-target intersection parameters.
DEFENCE TECHNOLOGY
(2023)
Article
Computer Science, Artificial Intelligence
Yunlong Wang, Yongfu Wang, Jing Zhao, Jianfeng Xu
Summary: This study introduces a neural network control scheme for tracking the oxygen excess ratio (OER) in the air-feed subsystem of PEMFC. By incorporating a tracking error observer, disturbance observer, and adaptive learning law, the proposed algorithm successfully achieves uniformly ultimately bounded tracking error of the system.
APPLIED SOFT COMPUTING
(2021)
Article
Automation & Control Systems
Qiang Chen, Shuzong Xie, Xiongxiong He
Summary: This article introduces a neural-network-based adaptive fixed-time control scheme for the attitude tracking of uncertain rigid spacecrafts. By introducing a novel singularity-free fixed-time switching function and an adaptive neural controller, the convergence to the equilibrium within a fixed time is achieved while avoiding potential singularity problems.
IEEE TRANSACTIONS ON CYBERNETICS
(2021)
Article
Computer Science, Information Systems
Ming Liu, Qiuhong Liu, Lixian Zhang, Guangren Duan, Xibin Cao
Summary: This paper investigates attitude control for flexible spacecraft with actuator faults and limited communication resources. A control torque quantization scheme is proposed to reduce communication burden, and an integral sliding mode control method is designed for stabilization and near-optimal performance. Simulation results demonstrate the efficacy of the proposed method.
SCIENCE CHINA-INFORMATION SCIENCES
(2023)