Time-Optimal Robotic Arm Trajectory Planning for Coating Machinery Based on a Dynamic Adaptive PSO Algorithm

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Udgivet i:Coatings vol. 15, no. 1 (2025), p. 2
Hovedforfatter: Liu, Jiaqi
Andre forfattere: Liu, Shanhui, Song, Mei, Ren, Huiran, Ji, Haiyang
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MDPI AG
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024 7 |a 10.3390/coatings15010002  |2 doi 
035 |a 3159426379 
045 2 |b d20250101  |b d20251231 
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100 1 |a Liu, Jiaqi  |u Faculty of Printing, Packaging Engineering and Digital Media Technology, Xi’an University of Technology, Xi’an 710048, China; <email>liujiaqi170313@163.com</email> (J.L.); <email>huiranren@sina.com</email> (H.R.); <email>jihaiyang@katopauto.com</email> (H.J.) 
245 1 |a Time-Optimal Robotic Arm Trajectory Planning for Coating Machinery Based on a Dynamic Adaptive PSO Algorithm 
260 |b MDPI AG  |c 2025 
513 |a Journal Article 
520 3 |a To address the issues of low trajectory planning efficiency, high motion impact, and poor operational stability in robotic arms during the automatic loading and unloading of aluminum blocks in coating machinery, a time-optimal trajectory optimization method based on a dynamically adaptive Particle Swarm Optimization (PSO) algorithm is proposed. First, the loading and unloading process of aluminum block components is described, followed by a kinematic analysis of the robotic arm in joint space. Then, the “3-5-3” hybrid polynomial interpolation method is used to fit the robotic arm’s motion trajectory and simulate the analysis. Finally, with the robotic arm’s operation time as the objective function, the dynamically adaptive PSO algorithm is applied to optimize the trajectory constructed by hybrid polynomial interpolation, achieving time-optimal trajectory planning for aluminum block handling. The results demonstrate that the proposed method successfully reduces the trajectory planning times for condition 1 and condition 2 from 6 s to 3.59 s and 3.14 s, respectively, improving overall efficiency by 40.2% and 47.7%. This confirms the feasibility of the method and significantly enhances the efficiency of automated loading and unloading tasks for aluminum blocks in coating machinery. The proposed method is highly adaptable and well-suited for real-time trajectory optimization of robotic arms. It can also be broadly applied to other robotic systems and manufacturing processes, enhancing operational efficiency and stability. 
653 |a Kinematics 
653 |a Particle swarm optimization 
653 |a Accuracy 
653 |a Trajectory optimization 
653 |a Robot arms 
653 |a Machinery 
653 |a Interpolation 
653 |a Polynomials 
653 |a Efficiency 
653 |a Aluminum 
653 |a Linear programming 
653 |a Manufacturing 
653 |a Automation 
653 |a Coating 
653 |a Real time 
653 |a Optimization algorithms 
653 |a Trajectory planning 
653 |a Motion stability 
653 |a Industrial robots 
653 |a Robotics 
653 |a Adaptive algorithms 
700 1 |a Liu, Shanhui  |u Faculty of Printing, Packaging Engineering and Digital Media Technology, Xi’an University of Technology, Xi’an 710048, China; <email>liujiaqi170313@163.com</email> (J.L.); <email>huiranren@sina.com</email> (H.R.); <email>jihaiyang@katopauto.com</email> (H.J.) 
700 1 |a Song, Mei  |u Shaanxi Academy of Printing Technology Research Institute Co., Ltd., Xi’an 710048, China; <email>songmei0729@163.com</email> 
700 1 |a Ren, Huiran  |u Faculty of Printing, Packaging Engineering and Digital Media Technology, Xi’an University of Technology, Xi’an 710048, China; <email>liujiaqi170313@163.com</email> (J.L.); <email>huiranren@sina.com</email> (H.R.); <email>jihaiyang@katopauto.com</email> (H.J.) 
700 1 |a Ji, Haiyang  |u Faculty of Printing, Packaging Engineering and Digital Media Technology, Xi’an University of Technology, Xi’an 710048, China; <email>liujiaqi170313@163.com</email> (J.L.); <email>huiranren@sina.com</email> (H.R.); <email>jihaiyang@katopauto.com</email> (H.J.) 
773 0 |t Coatings  |g vol. 15, no. 1 (2025), p. 2 
786 0 |d ProQuest  |t Materials Science Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3159426379/abstract/embedded/Q8Z64E4HU3OH5N8U?source=fedsrch 
856 4 0 |3 Full Text + Graphics  |u https://www.proquest.com/docview/3159426379/fulltextwithgraphics/embedded/Q8Z64E4HU3OH5N8U?source=fedsrch 
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