Small tracking error correction for moving targets of intelligent electro-optical detection systems

Cheng SHEN , Zhijie WEN , Wenliang ZHU , Dapeng FAN , Mingyuan LING

Front. Mech. Eng. ›› 2024, Vol. 19 ›› Issue (2) : 11

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Front. Mech. Eng. ›› 2024, Vol. 19 ›› Issue (2) : 11 DOI: 10.1007/s11465-024-0782-6
RESEARCH ARTICLE

Small tracking error correction for moving targets of intelligent electro-optical detection systems

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Abstract

Small tracking error correction for electro-optical systems is essential to improve the tracking precision of future mechanical and defense technology. Aerial threats, such as “low, slow, and small (LSS)” moving targets, pose increasing challenges to society. The core goal of this work is to address the issues, such as small tracking error correction and aiming control, of electro-optical detection systems by using mechatronics drive modeling, composite velocity–image stability control, and improved interpolation filter design. A tracking controller delay prediction method for moving targets is proposed based on the Euler transformation model of a two-axis, two-gimbal cantilever beam coaxial configuration. Small tracking error formation is analyzed in detail to reveal the scientific mechanism of composite control between the tracking controller’s feedback and the motor’s velocity–stability loop. An improved segmental interpolation filtering algorithm is established by combining line of sight (LOS) position correction and multivariable typical tracking fault diagnosis. Then, a platform with 2 degrees of freedom is used to test the system. An LSS moving target shooting object with a tracking distance of S = 100 m, target board area of A = 1 m2, and target linear velocity of v = 5 m/s is simulated. Results show that the optimal method’s distribution probability of the tracking error in a circle with a radius of 1 mrad is 66.7%, and that of the traditional method is 41.6%. Compared with the LOS shooting accuracy of the traditional method, the LOS shooting accuracy of the optimized method is improved by 37.6%.

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electro-optical detection system / small tracking error / moving target / visual servo / aiming control

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Cheng SHEN, Zhijie WEN, Wenliang ZHU, Dapeng FAN, Mingyuan LING. Small tracking error correction for moving targets of intelligent electro-optical detection systems. Front. Mech. Eng., 2024, 19(2): 11 DOI:10.1007/s11465-024-0782-6

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References

[1]

Mazurkiewicz A. The Russia-Ukraine war of 2022: faces of modern conflict. Journal of Contemporary European Studies, 2023, 31(4): 1507–1508

[2]

Hu Q R, Shen X Y, Qian X M, Huang G Y, Yuan M Q. The personal protective equipment (PPE) based on individual combat: a systematic review and trend analysis. Defence Technology, 2023, 28: 195–221

[3]

Huang Q H, Jin G W, Xiong X, Ye H, Xie Y Z. Monitoring urban change in conflict from the perspective of optical and SAR satellites: the case of Mariupol, a city in the conflict between RUS and UKR. Remote Sensing, 2023, 15(12): 3096

[4]

Alhaji Musa S, Raja Abdullah R S A, Sali A, Ismail A, Abdul Rashid N E. Low-slow-small (LSS) target detection based on micro Doppler analysis in forward scattering radar geometry. Sensors, 2019, 19(15): 3332

[5]

Rasol J, Xu Y L, Zhang Z X, Zhang F, Feng W J, Dong L H, Hui T, Tao C Y. An adaptive adversarial patch-generating algorithm for defending against the intelligent low, slow, and small target. Remote Sensing, 2023, 15(5): 1439

[6]

Chang Y L, Li D, Gao Y L, Su Y, Jia X Q. An improved YOLO model for UAV fuzzy small target image detection. Applied Sciences, 2023, 13(9): 5409

[7]

Lin D, Wu Y M. Tracing and implementation of IMM Kalman filtering feed-forward compensation technology based on neural network. Optik, 2020, 202: 163574

[8]

Lu Y F, Fan D P, Zhang Z Y. Theoretical and experimental determination of bandwidth for a two-axis fast steering mirror. Optik, 2013, 124(16): 2443–2449

[9]

Han B, Wang H, Luo X, Liang C Y, Yang X, Liu S, Lin Y C. Turbidity-adaptive underwater image enhancement method using image fusion. Frontiers of Mechanical Engineering, 2022, 17(3): 13

[10]

Li H S, Zhang X Q. Three-dimensional coordinates test method with uncertain projectile proximity explosion position based on dynamic seven photoelectric detection screen. Defence Technology, 2022, 18(9): 1643–1652

[11]

Yin Y P, Zhao Y, Xiao Y G, Gao F. Footholds optimization for legged robots walking on complex terrain. Frontiers of Mechanical Engineering, 2023, 18(2): 26

[12]

Shen C, Wen Z J, Zhu W L, Fan D P, Chen Y K, Zhang Z. Prediction and control of small deviation in the time-delay of the image tracker in an intelligent electro-optical detection system. Actuators, 2023, 12(7): 296

[13]

Corriveau D. Validation of the NATO armaments ballistic Kernel for use in small-arms fire control systems. Defence Technology, 2017, 13(3): 188–199

[14]

Asad M, Khan S, Ihsanullah Z, Mehmood Y F, Shi S A, Memon U. A split target detection and tracking algorithm for ballistic missile tracking during the re-entry phase. Defence Technology, 2020, 16(6): 1142–1150

[15]

Liu H, Fan D P, Li S P, Zhou Q K. Design and analysis of a novel electric firing mechanism for sniper rifles. Acta Armamentarii, 2016, 37(6): 1111–1116

[16]

Chin K S H, Siu A C Y, Ying S Y K, Zhang Y F. Da jiang innovation, DJI: the future of possible. Academy of Asian Business Review, 2017, 3(2): 83–109

[17]

Sheu B H, Chiu C C, Lu W T, Huang C I, Chen W P. Development of UAV tracing and coordinate detection method using a dual-axis rotary platform for an anti-UAV system. Applied Sciences, 2019, 9(13): 2583

[18]

Huang D H, Zhou Z F, Zhang Z Z, Zhu M, Peng R W, Zhang Y, Li Q X, Xiao D N, Hu L W. Extraction of agricultural plastic film mulching in karst fragmented arable lands based on unmanned aerial vehicle visible light remote sensing. Journal of Applied Remote Sensing, 2022, 16(3): 036511

[19]

Liu Y, Sun P, Wergeles N, Shang Y. A survey and performance evaluation of deep learning methods for small object detection. Expert Systems with Applications, 2021, 172: 114602

[20]

Lyu M M, Liu R Z, Hou Y L, Gao Q, Wang L. A target motion filtering method for on-axis control of electro-optical tracking platform. Acta Armamentarii, 2019, 40(3): 548–554

[21]

Lyu M M, Hou R M, Ke Y F, Hou Y L. Compensation method for miss distance time-delay of electro-optical tracking platform. Journal of Xi’an jiaotong university, 2019, 53(11): 141–147

[22]

Wen Z J, Ding Y, Liu P K, Ding H. Direct integration method for time-delayed control of second-order dynamic systems. Journal of Dynamic Systems, Measurement, and Control, 2017, 139(6): 061001

[23]

Yoo S, Kim T, Seo M, Oh J, Kim H S, Seo T. Position-tracking control of dual-rope winch robot with rope slip compensation. IEEE/ASME Transactions on Mechatronics, 2021, 26(4): 1754–1762

[24]

Li J, Wang J Z, Wang S K. A novel method of fast dynamic optical image stabilization precision measurement based on CCD. Optik, 2011, 122(7): 582–585

[25]

Mondal A. Occluded object tracking using object-background prototypes and particle filter. Applied Intelligence, 2021, 51(8): 5259–5279

[26]

Tokuda F, Arai S, Kosuge K. Convolutional neural network-based visual servoing for eye-to-hand manipulator. IEEE Access, 2021, 9: 91820–91835

[27]

Yuan S S, Deng W X, Yao J Y, Yang G L. Robust adaptive precision motion control of tank horizontal stabilizer based on unknown actuator backlash compensation. Defence Technology, 2023, 20: 72–83

[28]

RafiqueM A, Lynch A F. Output-feedback image-based visual servoing for multirotor unmanned aerial vehicle line following. IEEE Transactions on Aerospace and Electronic Systems, 2020, 56(4): 3182–3196 10.1109/TAES.2020.2967851

[29]

Zhong H, Wang Y A, Miao Z Q, Li L, Fan S W, Zhang H. A homography-based visual servo control approach for an underactuated unmanned aerial vehicle in GPS-denied environment. IEEE Transactions on Intelligent Vehicles, 2023, 8(2): 1119–1129

[30]

Zhang K W, Shi Y, Sheng H Y. Robust nonlinear model predictive control based visual servoing of quadrotor UAVs. IEEE/ASME Transactions on Mechatronics, 2021, 26(2): 700–708

[31]

Bakthavatchalam M, Tahri O, Chaumette F. A direct dense visual servoing approach using photometric moments. IEEE Transactions on Robotics, 2018, 34(5): 1226–1239

[32]

Lin X K, Wang X, Li L. Intelligent detection of edge inconsistency for mechanical workpiece by machine vision with deep learning and variable geometry. Applied Intelligence, 2020, 50(7): 2105–2119

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