Forthcoming and Online First Articles

International Journal of Mechatronics and Manufacturing Systems

International Journal of Mechatronics and Manufacturing Systems (IJMMS)

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International Journal of Mechatronics and Manufacturing Systems (2 papers in press)

Regular Issues

  • Regenerative braking control strategy optimization based on hybrid power source and PSO   Order a copy of this article
    by Guizhou Ren, Guofei Zhang, Wenpu Shi, Yuanquan Si, Youpeng Duan 
    Abstract: How to achieve optimal braking force distribution and improve regeneration efficiency are urgent problems to be solved. A battery/super-capacitor hybrid power source and particle swarm optimiza-tion-based control strategy of regenerative braking is designed, which fully considers braking sta-bility and efficiency. The regenerative power is taken as the fitness function, the optimal electric braking force is used as the optimization goal, to achieve the optimal distribution of the mechanical and electric braking forces of the front axle. A MATLAB/Simulink-AVL Cruise co-simulation model is established, and the simulation studies are carried out under the CLTC, FTP75, and NEDC cycle conditions. The results show the proposed regenerative braking control strategy can effectively improve energy regeneration efficiency while ensuring braking stability, which verifies the effectiveness of the designed scheme. The research results offer the reference for the design of control strategy of regenerative braking for electric vehicles.
    Keywords: Hybrid power source; Regenerative braking; Particle swarm optimization; Braking force distribution.
    DOI: 10.1504/IJMMS.2023.10054350

Special Issue on: Progress in Smart Manufacturing

  • Optimizing the Non-Productive Time of Robotic Arm for Drilling Circular Holes Network Patterns via the Dhouib-Matrix-3 Metaheuristic   Order a copy of this article
    by Souhail Dhouib, Alaeddine Zouari 
    Abstract: The research work in this article revolves around the non-productive time optimization (time spent by the drilling tool while traveling between holes) of robotic arm for holes drilling operation based on the novel metaheuristic Dhouib-Matrix-3. In fact, Dhouib-Matrix-3 hybridizes in an iterated structure two techniques: the stochastic heuristic entitled Dhouib-Matrix-TSP2 and the local search method named Far-to-Near. The main aim of this study is to prove the performance of Dhouib-Matrix-3 to enhance drilling robot arm non-productive time reduction and then improve productivity. Hence, a literature review was conducted to highlight on the one hand the main algorithms applied in tool path optimization in drilling process and applicable domains in the other hand. Then, Dhouib-Matrix-3 has been applied on several circular holes network patterns case studies. Afterwards, results of instance simulations in case studies showed that the Dhouib-Matrix-3 exhibits a significant reduction in robot arm path compared to other metaheuristics.
    Keywords: Artificial Intelligence; Optimization; Metaheuristic; Drilling Holes; Path Planning for Robot Arm; Simulation; Travelling Salesman Problem; Dhouib-Matrix.
    DOI: 10.1504/IJMMS.2023.10054319