Modeling of Hydraulic ABS Plant and its Control By Using fuzzy Mamdani with adaptive slip Frequency to improve stopping distance and steering ability

Abstract

Abstract Many antilock btrake system ABS (what is ABS?) plant dynamics were designed and developed by researcher, it is mostly in quarter car model. Plant could be ABS with hydraulic, air or electromagnetic energy transfer of braking processes. Kind of ABS controller method were also developed and proposed to achieve the desired control response such as, stopping distance and steering ability under circumstance non-linear braking dynamics and uncertainty road surface-wheel. There is no-intelligent and artificial control event hybrid of both. PID, Observer, sliding mode, LQR, Fuzzy and Neural network are commonly used to control ABS plant. This research method proposed ABS hydraulic plant design, which controlled by Fuzzy to control slip frequency within three sample of road surface namely snow, sand and asphalt surface road. For slip control reference variable are setup in varied value to approach the optimal sopping distance. Result of simulation shown that slip of 2,35 has a superior of stopping distance control, means the shortest stopping distance compared with another setting value.