مشخصات مقاله | |
ترجمه عنوان مقاله | کنترل پیش بینانه قوی از لغزش چرخ در سیستم های ترمز ضد قفل مبتنی بر شبکه عصبی با تابع پایه شعاعی |
عنوان انگلیسی مقاله | Robust predictive control of wheel slip in antilock braking systems based on radial basis function neural network |
انتشار | مقاله سال 2018 |
تعداد صفحات مقاله انگلیسی | 12 صفحه |
هزینه | دانلود مقاله انگلیسی رایگان میباشد. |
پایگاه داده | نشریه الزویر |
نوع نگارش مقاله |
مقاله پژوهشی (Research Article) |
مقاله بیس | این مقاله بیس نمیباشد |
نمایه (index) | Scopus – Master Journals List – JCR |
نوع مقاله | ISI |
فرمت مقاله انگلیسی | |
ایمپکت فاکتور(IF) |
6.031 در سال 2018 |
شاخص H_index | 110 در سال 2019 |
شاخص SJR | 1.216 در سال 2018 |
شناسه ISSN | 1568-4946 |
شاخص Quartile (چارک) | Q1 در سال 2018 |
مدل مفهومی | ندارد |
پرسشنامه | ندارد |
متغیر | ندارد |
رفرنس | دارد |
رشته های مرتبط | مهندسی مکانیک، برق |
گرایش های مرتبط | مکانیک خودرو، طراحی سیستم تعلیق ترمز و فرمان، مکاترونیک، سیستم محرکه خودرو، مهندسی کنترل ، الکترونیک |
نوع ارائه مقاله |
ژورنال |
مجله | محاسبات نرم کاربردی – Applied Soft Computing |
دانشگاه | Department of Mechanical Engineering, Shahid Bahonar University of Kerman, Jomhoori Eslami Blvd, Kerman, Iran |
کلمات کلیدی | سیستم ترمز ضد قفل، کنترل پیش بینانه غیرخطی، شبکه عصبی با تابع پایه شعاعی، استحکام، لغزش چرخ |
کلمات کلیدی انگلیسی | Anti-lock brake system، Nonlinear predictive control، RBF neural network، Robustness، Wheel slip |
شناسه دیجیتال – doi |
https://doi.org/10.1016/j.asoc.2018.05.043 |
کد محصول | E13183 |
وضعیت ترجمه مقاله | ترجمه آماده این مقاله موجود نمیباشد. میتوانید از طریق دکمه پایین سفارش دهید. |
دانلود رایگان مقاله | دانلود رایگان مقاله انگلیسی |
سفارش ترجمه این مقاله | سفارش ترجمه این مقاله |
فهرست مطالب مقاله: |
Abstract
1- Introduction 2- Mathematical modeling 3- Control system design 4- Simulation results 5- Conclusion References |
بخشی از متن مقاله: |
Abstract Anti-Lock Braking System (ABS) is a well-known technology for vehicle safety enhancement during hard braking. The wheel slip control has been a challenging problem due to a complex behavior of the tire and strong nonlinearity in a braking process. Furthermore, the system is subjected to unknown uncertainties that would arise from changing the vehicle parameters and un-model dynamics. Thus, it is required to design a nonlinear robust control law for ABS to overcome these problems. In this paper, a novel robust prediction-based controller for ABS is proposed that guarantees the stability against uncertainties. An optimal control law is firstly designed for ABS using nonlinear predictive method. Then, the unknown uncertainties are adaptively approximated utilizing a radial basis function neural network (RBFNN). The Lyapunov approach is employed to develop an update control law to determine the network weights. Finally, some simulations are conducted to examine the performance of the proposed control system for tracking the reference wheel slip in the presence of uncertainties in different maneuvers. Also, the performance of the proposed controller is compared with the conventional sliding mode controller (SMC) through simulation results. Introduction Many active safety devices have been developed to assist the driver to improve the vehicle safety during dangerous conditions. Among them, Anti-Lock Braking System (ABS) is a common wellknown active safety technology to control of automotive braking systems. In a hard braking situation, the wheels might lock and the braking forces fall to their sliding values and the lateral forces are reduced to almost zero [1]. In this manner, the stopping distance will be increased and the directional stability of vehicle in turning maneuvers will be lost. Hence, the longitudinal wheel slip has significant role in affecting the performance of braking, traction and stability control systems in ground vehicles. The ABS is known as a good solution to maintain the wheel slip at desired value and prevent the wheel from locking. As a result, the shortened stopping distance is obtained and the safety and the vehicle steerability are enhanced. In another application, the ABS is used in electronic stability control (ESC) systems to provide the required yaw moment for stabilizing vehicle lateral dynamics by differential braking strategy [2]. |