Abstract:

A digitally - programmable analogue Fuzzy Logic Controller (FLC) is presented. Input and output signals are processed in the analog domain whereas the parameters of the controller are stored in a built-in digital memory. Some new functional blocks have been designed whereas others were improved towards the optimization of the power consumption, the speed and the
Modularity while keeping a reasonable accuracy, as it is needed in several analogue signal processing applications. A nine-rules, two-inputs and one-output prototype was fabricated and successfully tested using a standard CMOS 2.4? Technology, showing good agreement with the expected performances, namely: from 2.22 to 5.26 Mflips (Mega fuzzy logic inferences per second) at the pin terminals (@CL=13pF), 933-µW power consumption per rule (@Vdd=5V) and 5 bits of resolution. Since the circuit is intended for a subsystem embedded in an application chip (@CL ≤5pF) up to 8 Mflips may be expected.

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Abstract: It is available in the file which you can download from the link below.

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Abstract: It is available in the file which you can download from the link below.

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Abstract: This thesis describes an intelligent approach to control an Antilock Braking System (ABS) employing a fuzzy controller. Stopping a car in a hurry on a slippery road can be very challenging. Anti-lock braking systems (ABS) take a lot of the challenge out of this sometimes nerve-wracking event. In fact, on slippery surfaces, even professional drivers can't stop as quickly without ABS as an average driver can with ABS. Anti-lock Brake improves the controllability of vehicles in compare with brake systems lacking ABS. Fuzzy is a multi-valued logic developed to deal with imprecise or vague data. Classical logic holds that everything can be expressed in binary terms: 0 or 1; in terms of Boolean algebra, everything is in one set or another but not in both. Fuzzy logic allows for partial membership in a set, values between 0 and 1. When the approximate reasoning of fuzzy logic is used with an expert system, logical inferences can be drawn from imprecise relationships.

Fuzzy anti-lock Braking systems were developed to reduce skidding and maintain steering control when brakes are used in an emergency situation. Fuzzy controllers are potential candidates for the control of non-linear, time variant and complicated systems. There are many control algorithms for ABS systems and they are partially responsible for their performance. Here, in this paper we have discussed how Anti-Lock Braking system is controlled using Fuzzy Logic.


Courtesy: N.Santhanam, Adi Parasakthi Engineering College (APEC), Melmaruvathur, Tamilnadu

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Abstract: This paper reviews the applications of fuzzy and neuro-fuzzy control to DC and AC drives. It also reviews the application in V.R. drive systems. It is concluded that further research work is required in this area as V.R. drives are quite non-linear electromagnetic structures. Fuzzy and neuro-fuzzy control techniques are ideal solutions to control of reluctance drives.

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