in and kkm@nitrkl.ac.in.Abstract-Fuzzy logic systems are widely used in literature for heuristic knowledge based system operation. However most of these systems operate on multiple input to provide a single output. In this paper we have introduced a scheme for implementation of single input single output (SISO) fuzzy logic approximation of PI controller to control a two input single output (TISO) system. In most systems controlled by PI or PID controllers, there exists to input variable namely error (e) and change in error (Δ e) . However, there exists an opportunity to view these controllers as SISO system as Δ e = f (e), hence it is eventually resource effective to approximate these controllers using single input fuzzy variable. This paper introduces this concept and implements it on a model of Automatic Cruise Control (ACC) in an inclined plane with effect of multiple disturbance forces.
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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