PID-Type Fuzzy Control for Anti-Lock Brake Systems with Parameter Adaptation

Fuzzy-based PID with Iterative Learning Active Force Controller for An Anti-lock Brake System

Anti-lock braking systems (ABS) are safety and control devices implemented in ground vehicles that prevent the wheel lock-up during panic braking. The existing ABS controls have the ability to regulate the level of pressure to optimally maintain the wheel slip within the vehicle stability range. However, the ABS shows strong nonlinear characteristics in which the vehicles equipped with the exis...

optimal type-2 fuzzy controller for anti-lock braking systems

anti-lock braking system (abs) is a nonlinear and time varying system including uncertainty, so it cannot be controlled by classic methods. intelligent methods such as fuzzy controller are used in this area extensively; however traditional fuzzy controller using simple type-1 fuzzy sets may not be robust enough to overcome uncertainties. for this reason an interval type-2 fuzzy controller is de...

a new type-ii fuzzy logic based controller for non-linear dynamical systems with application to 3-psp parallel robot

abstract type-ii fuzzy logic has shown its superiority over traditional fuzzy logic when dealing with uncertainty. type-ii fuzzy logic controllers are however newer and more promising approaches that have been recently applied to various fields due to their significant contribution especially when the noise (as an important instance of uncertainty) emerges. during the design of type- i fuz...

Designing a Genetic-Fuzzy Anti-Lock Brake System Controller (RESEARCH NOTE)

PID Control Analysis of Brake Test Bench

In this paper, the control methods of brake test bench are studied. According to as much as possible consistent principle of braking process between on the test bench and road test vehicle, by controlling motor to work under certain regular current, compensate lack energy owing to the shortage of electricity, establish control model of equivalent inertia and vehicle load. At the same time, we m...