Analisis Pengaturan Quarter-Car Active Suspension Menggunakan Neuro-Fuzzy Adaptif PID Control

Car as a vehicle has a suspension on the wheels that connect the body with the road surface. The suspension is arranged in such way as to ensure the comfort in driving even on uneven road surfaces or damaged road surfaces. Because of the changes in road surface, it is very important to make adjustments to the suspension. The car suspension is adjusted using Neuro-Fuzzy Adaptive PID Control System so that the performance of the suspension can be improved in ensuring user comfort by reducing vibrations in the car body. Improved performance can be seen in the results of the suspension setting, which can suppress the movement of the car body because of the change in road surface more than 80%.

Application of Digital Twin Technology in Energy and Power Industry

Constructing digital twin of physical entity and analyzing twin data, and transfer learning method can be used to transfer the characteristics of twin to physical entity for analysis. This paper mainly studies the application of digital twinning technology in the energy and power industry. Aiming at the energy saving and control problem of building energy demand terminal, the fuzzy adaptive PID control algorithm is used to simulate the indoor HVAC system and lighting system, so as to solve the indoor temperature and illumination intensity are greatly affected by the weather, time-varying and unpredictable factors. By comparing with the conventional PID, we can see that the fuzzy adaptive PID controller adjusts faster, the output duty ratio is more accurate, and can achieve better control effect.

Evaluating car's ride comfort and controlling vibration of suspension system based on adaptive PID control

The vertical vibration of the vehicles not only affects the durability of parts of the vehicle and road surface but it also affects the driver’s ride comfort and health. The aim of this study is to evaluate the effect of the vertical vibration on the driver’s ride comfort and health under the vehicle different operating conditions. The adaptive PID control is then applied to improve the vehicle's ride comfort. To achieve this goal, a 2D vibration model for the cars with 5 DOF is established to simulate. The different operating conditions of the speed, road surface, load, and working time of the vehicles are respectively evaluated based on the vertical weighted r.m.s. acceleration responses of the driver’s seat and the international standard ISO 2631. The results show that the road surface condition has the greatest influence on the driver’s comfort and health. With the vehicle's suspension system controlled by the adaptive PID controller, the ride comfort of the vehicle is significantly improved under the various road surfaces. Particularly, at ISO level B, the vertical driver's seat root-mean-square acceleration value is greatly reduced by 24.99 % while the pitching vehicle body root-mean-square acceleration value is decreased by 25.10 % in comparison with the passive suspension system.