Robust Control for Uncertain Vertical Electric Stabilization System With Flexible Nonlinearity Using Backstepping Idea

Peng Liu , Tan Lu , He Zhang

International Journal of Mechanical System Dynamics ›› 2025, Vol. 5 ›› Issue (3) : 443 -462.

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International Journal of Mechanical System Dynamics ›› 2025, Vol. 5 ›› Issue (3) : 443 -462. DOI: 10.1002/msd2.70029
RESEARCH ARTICLE

Robust Control for Uncertain Vertical Electric Stabilization System With Flexible Nonlinearity Using Backstepping Idea

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Abstract

A robust control method for the uncertain vertical electric stabilization system (VESS) with flexible nonlinearity is proposed, and the mismatched uncertainty is considered and compensated based on the backstepping idea. First, based on evaluating the coupling effects of the flexible nonlinearity, the analytical dynamics model of the VESS is established. Second, the tracking error is defined as the evaluation of the system's pitch-pointing tracking control, and then the mismatched state space model with two interconnected subsystems is established as the controlled system. Third, the original mismatched system is converted to the locally matched system using the backstepping design to transform the system state variables. The robust control is proposed to handle the flexible nonlinearity and mismatched uncertainty, which can make both the original system and the reconfigured system present practical stability. Finally, the effectiveness of the proposed control is verified by numerical simulation experiments. This study should be the first to consider flexible nonlinearity coupling and two different uncertainties (matched and mismatched uncertainty) in the design of pitch-pointing tracking control for the vertical electric stabilization system (VESS).

Keywords

backstepping idea / flexible nonlinearity / mismatched uncertainty / robust control / vertical electric stabilization system

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Peng Liu, Tan Lu, He Zhang. Robust Control for Uncertain Vertical Electric Stabilization System With Flexible Nonlinearity Using Backstepping Idea. International Journal of Mechanical System Dynamics, 2025, 5(3): 443-462 DOI:10.1002/msd2.70029

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References

[1]

J. Zhu, B. Zhao, and Q. Wang, Modern Tank Fire Control System [in Chinese] (National Defense Industry Press, 2003).

[2]

T. Dursun, F. Büyükcivelek, and Ç. Utlu, “A Review on the Gun Barrel Vibrations and Control for a Main Battle Tank,” Defence Technology 13, no. 5 (2017): 353–359.

[3]

F.-f. Liu, Y.-m. Song, H.-l. Yu, et al., “Study on the Influence of Projectile on Muzzle Disturbance,” Defence Technology 14, no. 5 (2018): 570–577.

[4]

Y. Chen and G. Yang, “Dynamic Simulation of Tank Stabilizer Based on Adaptive Control,” Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 233, no. 9 (2019): 3038–3049.

[5]

C. Li, G. Yang, X. Wang, Y. Ma, L. Wang, and Q. Sun, “Adaptive Robust Target Tracking Control of Marching Tank Under High-Speed Maneuvering Condition,” Journal of Mechanical Science and Technology 36, no. 6 (2022): 2787–2798.

[6]

Y. Chen, G. Yang, and Q. Sun, “Dynamic Simulation on Vibration Control of Marching Tank Gun Based on Adaptive Robust Control,” Journal of Low Frequency Noise, Vibration and Active Control 39, no. 2 (2020): 416–434.

[7]

S. S. Yuan, W. X. Deng, J. Y. Yao, and G. L. Yang, “Robust Adaptive Precision Motion Control of Tank Horizontal Stabilizer Based on Unknown Actuator Backlash Compensation,” Defence Technology 20 (2023): 72–83.

[8]

C. Li, X. Wang, Y. Ma, F. Xu, and G. Yang, “The Prediction of Projectile-Target Intersection for Moving Tank Based on Adaptive Robust Constraint-Following Control and Interval Uncertainty Analysis,” Defence Technology 31 (2024): 351–363.

[9]

Y. Chen and G. Leitmann, “Robustness of Uncertain Systems in the Absence of Matching Assumptions,” International Journal of Control 45, no. 5 (1987): 1527–1542.

[10]

J. Yang, S. Li, and X. Yu, “Sliding-Mode Control for Systems With Mismatched Uncertainties via a Disturbance Observer,” IEEE Transactions on Industrial Electronics 60, no. 1 (2012): 160–169.

[11]

Q. Sun, X. Wang, G. Yang, Y. H. Chen, and F. Ma, “Adaptive Robust Control for Pointing Tracking of Marching Turret-Barrel Systems: Coupling, Nonlinearity and Uncertainty,” IEEE Transactions on Intelligent Transportation Systems 23, no. 9 (2022): 16397–16409.

[12]

Y.-z. Ma, G.-l. Yang, Q.-q. Sun, X.-y. Wang, and Z.-f. Wang, “Adaptive Robust Feedback Control of Moving Target Tracking for All-Electrical Tank With Uncertainty,” Defence Technology 18, no. 4 (2022): 626–642.

[13]

D. Lin, X. Wang, Y. Wang, and G. Yang, “Adaptive Robust Servo Control for Vertical Electric Stabilization System of Tank and Experimental Validation,” Defence Technology 31 (2024): 326–342.

[14]

Y. Zhang, Q. Yan, J. Cai, and X. Wu, “Adaptive Iterative Learning Control for Tank Gun Servo Systems With Input Deadzone,” IEEE Access 8 (2020): 63443–63451.

[15]

D. X. Li, H. S. Yan, and T. Jin, “ Multi-dimensional Taylor Network Optimal Control for Tank Firing in High Speed Motion,” in 2017 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC) (IEEE, 2017), 961–965.

[16]

J. P. Cai and J. E. Ma, “Robust Adaptive Control for Gun Control System of Tank,” Advanced Materials Research 295 (2011): 270–273.

[17]

J. Zhou and J. Yang, “Smooth Sliding Mode Control for Missile Interception With Finite-Time Convergence,” Journal of Guidance, Control, and Dynamics 38, no. 7 (2015): 1311–1318.

[18]

S. Yuan, W. Deng, J. Yao, and G. Yang, “Robust Control for Bidirectional Stabilization System With Time Delay Estimation,” International Journal of Control, Automation and Systems 22, no. 4 (2024): 1163–1175.

[19]

D. Zhang, Y. Wang, L. Meng, J. Yan, and C. Qin, “Adaptive Critic Design for Safety-Optimal FTC of Unknown Nonlinear Systems With Asymmetric Constrained-Input,” ISA Transactions 155 (2024): 309–318.

[20]

C. Qin, X. Qiao, J. Wang, D. Zhang, Y. Hou, and S. Hu, “Barrier-Critic Adaptive Robust Control of Nonzero-Sum Differential Games for Uncertain Nonlinear Systems With State Constraints,” IEEE Transactions on Systems, Man, and Cybernetics: Systems 54, no. 1 (2023): 50–63.

[21]

J. Wang, H. Pan, and D. Zhang, “Event-Triggered Adaptive Finite-Time Control for MIMO Nonlinear Systems With Actuator Faults,” IEEE Transactions on Industrial Electronics 70, no. 7 (2022): 7343–7352.

[22]

J. Cai, R. Yu, Q. Yan, C. Mei, B. Wang, and L. Shen, “Event-Triggered Adaptive Control for Tank Gun Control Systems,” IEEE Access 7 (2019): 17517–17523.

[23]

D. Yue, E. Tian, and Q. L. Han, “A Delay System Method for Designing Event-Triggered Controllers of Networked Control Systems,” IEEE Transactions on Automatic Control 58, no. 2 (2012): 475–481.

[24]

B. Das and P. Mhaskar, “Adaptive Output-Feedback Lyapunov-Based Model Predictive Control of Nonlinear Process Systems,” International Journal of Robust and Nonlinear Control 28, no. 5 (2018): 1597–1609.

[25]

M. Mahmood and P. Mhaskar, “Lyapunov-Based Model Predictive Control of Stochastic Nonlinear Systems,” Automatica 48, no. 9 (2012): 2271–2276.

[26]

D. Angeli and E. Mosca, “Lyapunov-Based Switching Supervisory Control of Nonlinear Uncertain Systems,” IEEE Transactions on Automatic Control 47, no. 3 (2002): 500–505.

[27]

D. Zhang, X. Hao, L. Liang, W. Liu, and C. Qin, “A Novel Deep Convolutional Neural Network Algorithm for Surface Defect Detection,” Journal of Computational Design and Engineering 9, no. 5 (2022): 1616–1632.

[28]

D. Zhang, X. Hao, D. Wang, et al., “An Efficient Lightweight Convolutional Neural Network for Industrial Surface Defect Detection,” Artificial Intelligence Review 56, no. 9 (2023): 10651–10677.

[29]

W. He, Y. Chen, and Z. Yin, “Adaptive Neural Network Control of an Uncertain Robot With Full-State Constraints,” IEEE Transactions on Cybernetics 46, no. 3 (2015): 620–629.

[30]

B. Xu, “Composite Learning Control of Flexible-Link Manipulator Using NN and DOB,” IEEE Transactions on Systems, Man, and Cybernetics: Systems 48, no. 11 (2017): 1979–1985.

[31]

Y. Yang, Z. Liu, and G. Ma, “Adaptive Distributed Control of a Flexible Manipulator Using an Iterative Learning Scheme,” IEEE Access 7 (2019): 145934–145943.

[32]

Y. Chen, “Chuang Ch. Robust Control Design for a Class of Mismatched Coupled Uncertain Systems,” Optimal Control Applications and Methods 18, no. 2 (1997): 83–107.

[33]

J. Xu, Y. Du, Y. H. Chen, H. Guo, and X. Ding, “Guaranteeing Uniform Ultimate Boundedness for Uncertain Systems Free of Matching Condition,” IEEE Transactions on Fuzzy Systems 26, no. 6 (2018): 3479–3493.

[34]

Q. Sun, X. Wang, G. Yang, Y. H. Chen, and P. Duan, “Robust Pointing Control of Marching Tank Gun With Matched and Mismatched Uncertainty,” IEEE Transactions on Cybernetics 52, no. 8 (2021): 7303–7318.

[35]

F. Zhai, Y. Yin, C. Li, W. Tian, and Z. Qiao, “Stiffness modelling and Feedforward Control of Servo Electric Cylinder Drive System,” Journal of Jilin University 51 (2021): 442–449.

[36]

J. P. Den Hartog, Mechanical vibrations (Courier Corporation, 1985).

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2025 The Author(s). International Journal of Mechanical System Dynamics published by John Wiley & Sons Australia, Ltd on behalf of Nanjing University of Science and Technology.

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