A Sophisticated Algorithm for Using Fuzzy Logic Controllers in Adaptive Cruise Controller Systems
نویسندگان
چکیده
Using fuzzy logic controller, a sophisticated algorithm for adaptive cruise controller systems is proposed. The presented architecture can control the vehicle acceleration in a very simple and efficient way. The new algorithm is simulated in an artificial environment using MATLAB. In comparison with previous works, simulation results of the proposed algorithm have a much smoother output for controlling throttle and brake actuator of a car. In addition we represent a structure for implementing the proposed algorithm by using FLC, DAC, ADC, adders and some digital gates.
منابع مشابه
Improving the velocity tracking of cruise control system by using adaptive methods
Accurate and correct performance of controller in cruise control systems is important. Hence, in such systems, controller should optimize itself against noise and probable changes in system dynamic. As a matter of fact, in this article three approaches have been conducted to-ward this purpose: MIT, direct estimation and indirect estimation. These approaches are used as controllers to track refe...
متن کاملActive Suspension System Control Using Adaptive Neuro Fuzzy (ANFIS) Controller
The purpose of designing the active suspension systems is providing comfort riding and good handling in different road disturbances. In this paper a novel control method based on adaptive neuro fuzzy system in active suspension system is proposed. Choosing the proper data base to train the ANFIS has an important role in increasing the suspension system’s performance. The data base which is used...
متن کاملAdaptive and intelligent control of permanent magnet synchronous motor (PMSM) using a combination of fuzzy logic and gray wolf algorithm under fault condition
Nowadays, permanent magnet synchronous motors have been widely used in industry due to the elimination of excitation losses, longer life and higher efficiency. Errors in engine and drive systems are unavoidable during operation. Therefore, a suitable scenario should be considered for when these systems fail. If the necessary predictions and control algorithms are not considered for the error co...
متن کاملAdaptive fuzzy sliding mode and indirect radial-basis-function neural network controller for trajectory tracking control of a car-like robot
The ever-growing use of various vehicles for transportation, on the one hand, and the statistics ofsoaring road accidents resulting from human error, on the other hand, reminds us of the necessity toconduct more extensive research on the design, manufacturing and control of driver-less intelligentvehicles. For the automatic control of an autonomous vehicle, we need its dynamic...
متن کاملبهبود عملکرد سامانههای کنترل از طریق شبکه با استفاده از چرخش در قوانین کنترلگر منطق فازی
This paper addresses a novel control method adapted with varying time delay to improve NCS performance. A well-known challenge with NCSs is the stochastic time delay. Conventional controllers such as PID type controllers which are just tuned with a constant time delay could not be a solution for these systems. Fuzzy logic controllers due to their nonlinear characteristic which is compatible wit...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2013