Adaptive Cruise Control for a Robotic Vehicle Using Fuzzy Logic

Hassan, Aveen Uthman; Collier, Gordana

doi:10.1007/978-3-319-02294-9_68

Cited by 1 publication

(2 citation statements)

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“…There are various control algorithms in literature that have been effective in automatic cruise control systems [8,9,14,15]. However, these control algorithms do not provide a system which can be remotely controlled.…”

Section: Control Algorithmsmentioning

confidence: 99%

“…Internet-of-things (IOT) has already been a revolution in the automation industry. Fuzzy logic has been extensively used in ACC and collision avoidance system over the years [9][10][11]. However, this paper presents a system that controls an automatic cruise control (ACC) unit of a vehicle using fuzzy logic and connects it seamlessly to the Internet which will allow technical support engineers to remotely configure if it malfunctions.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Design and Implementation of Fuzzy Approximation PI Controller for Automatic Cruise Control System

Maji

Patra

Mahapatra

2015

Advances in Artificial Intelligence

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Fuzzy logic systems have been widely used for controlling nonlinear and complex dynamic systems by programming heuristic knowledge. But these systems are computationally complex and resource intensive. This paper presents a technique of development and porting of a fuzzy logic approximation PID controller (FLAC) in an automatic cruise control (ACC) system. ACC is a highly nonlinear process and its control is trivial due to the large change in parameters. Therefore, a suitable controller based on heuristic knowledge will be easy to develop and provide an effective solution. But the major problem with employing fuzzy logic controller (FLC) is its complexity. Moreover, the designing of Rulebase requires efficient heuristic knowledge about the system which is rarely found. Therefore, in this paper, a novel rule extraction process is used to derive a FLAC. This controller is then ported on a C6748 DSP hardware with timing and memory optimization. Later, it is seamlessly connected to a network to support remote reconfigurability. A performance analysis is drawn based on processor-in loop test with Simulink model of a cruise control system for vehicle.

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Section: Control Algorithmsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%