A dynamic cruise control system (DCCS) for effective navigation system

Abstract

With the fast development of artificial intelligence, robotics, and embedded system along with sensor technologies, the speed control mechanism is required in various other applications such as automatic or self-piloting aircraft, auto-driven vehicles, auto driven lifts and much other robotics based automation plants, etc. For each unpredictable and progressed vehicular framework accompanies a better route that is fit for utilizing the two GPS and INS related sign. There have been a noteworthy number of research works being completed towards creating sliding mode control framework. In case of inaccurate navigational data or no availability of navigational service, the cruise control could also stop working. Hence, there is a need to evolve up with a novel system offering reliable and fault tolerant navigation system in order to minimize the dependencies on GPS-based information and maximize the utilization of INS based information. This manuscript presents a dynamic cruise control system to achieve better navigation under uncertainties. The performance of the system is analyzed by incorporating sliding mode and fuzzy logic and achieves better accuracy in tracking error, computational complexity (28 sec of simulation time) under chattering and switching action operation.

An overview of emerging trends in robotics and automation

“…This enables robots to undertake jobs that would otherwise be too difficult for them to manage. Within the next several years, it is anticipated that this technology will become even more prevalent, as it is already being utilized in applications such as autonomous vehicles, industrial robots, and drones [1], [3], [10], [18]- [20].…”

“…Additionally, AI and ML are helping to make automated vehicles and smart homes more widespread. It is clear that AI and ML are here to stay, as evidenced by the fact that there is a growing demand for AI professionals and that research and development in the field is expanding [10], [21]- [25].…”

Sliding mode control technique of step down converter using reaching law

“…Sliding mode control (SMC) is a nonlinear control system design technique that is robust to parameter variations and matched uncertainties [1]- [8]. It evolved from variable structure control (VSC) and is established in the field of nonlinear control [1], [2], [9]- [13]. In [14]- [16] provide more information on sliding mode control.…”

Development and testing of braking and acceleration features for vehicle advanced driver assistance system

“…Other ACC features included speed sign detection to monitor the allowable road speed limit and avoid speeding violations [21]. In [22], proper navigation tools were improved by considering the presence of inaccurate data and unavailability navigational tools.…”