Notice of Retraction: PID- Fuzzy control research on hydraulic semi-active suspension system of car

Design and Control of a Full-Scale Quarter Car Test Rig for Semi-Active Suspension System

“…The skyhook can reduce the resonant peak of the vehicle sprung mass significantly; as a result improved ride quality, this is performed by adjusting the skyhook damping coefficient as the vehicle body velocity, and other conditions are changing, the adjustable damping ranges between hard and soft envelopes [10,11]. The approximation to an ideal sky-hook can be expressed by the following control logic [12][13][14].…”

Research and Simulation of the Electrical Vehicle Based Dynamical System

“…Thus, (8) is substituted into (4); subsequently, assume that no viscous friction occurs in each of the gear train components 1 and 2 (both are set with zero values) and that the motor inertia and load inertia referred to the motor shaft are negligible, implying that 1 and 2 are equal to zero. Finally, we obtain the transfer function shown in (9). According to (9), we construct the control block diagram shown in Figure 2.…”

“…Fuzzy PID controllers markedly reduce the root mean square (RMS) pitch acceleration of the vehicle and RMS vertical acceleration of the passenger seat. Although fuzzy PID controllers produce simulation curves exhibiting relatively slower response speeds, their performance is relative to the performance of normal PID controllers that control the transition process, thereby reducing the time and overshoot considerably [8,9]. The aforementioned studies have used MATLAB to perform simulations.…”