Optimal Design of a Proportional-Derivative State Feedback Controller Based on Meta-Heuristic Optimization for a Quarter Car Suspension System

التفاصيل البيبلوغرافية
العنوان: Optimal Design of a Proportional-Derivative State Feedback Controller Based on Meta-Heuristic Optimization for a Quarter Car Suspension System
المؤلفون: Huthaifa Al-Khazraji
المصدر: Mathematical Modelling of Engineering Problems. 9:437-442
بيانات النشر: International Information and Engineering Technology Association, 2022.
سنة النشر: 2022
مصطلحات موضوعية: Applied Mathematics, Modeling and Simulation, Engineering (miscellaneous)
الوصف: This paper presents a Proportional-Derivative State Feedback (PDSF) controller approach to design an active suspension system for quarter car. The objective of the PDSF controller is to eliminate the effects of road disturbances to achieve ride comfort of the driver and passengers. Finding the optimal feedback gain matrix of the PDSF controller is formulated as an optimization problem. Then, two meta-heuristic optimizations named Bees Algorithm (BA) and Grey Wolf Optimization (GWO) are employed to optimize the feedback gain matrix of the PDSF controller based on the Integral Time of Absolute Error (ITAE) index. The results show the superiority of the BA-based PDSF controller in terms of reducing the ITAE index in comparison with the results obtained from GWO based PDSF.
تدمد: 2369-0747
2369-0739
DOI: 10.18280/mmep.090219
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::81e7ce618d8baaa96dce89ebda829067
https://doi.org/10.18280/mmep.090219
Rights: CLOSED
رقم الانضمام: edsair.doi...........81e7ce618d8baaa96dce89ebda829067
قاعدة البيانات: OpenAIRE
الوصف
تدمد:23690747
23690739
DOI:10.18280/mmep.090219