The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
For improving Riding Comfort, an adaptive fuzzy PID control method is proposed for the semi-active suspension model of engineering vehicle with five degrees of freedom based on the advantages of fuzzy control and adaptive PID control. Taking a tipper as the study object, an adaptive fuzzy PID controller is designed for vibration control of the engineering vehicle and is simulated. The performance...
With the user's needs and the development of modern technology, the engineering vehicles develop continuously toward the heavy-load and high-speed direction. The higher riding comfort requirements of engineering vehicles are put forward. The traditional passive suspension had not met the requirements of riding comfort. An adaptive fuzzy PID control method is proposed for the semi-active suspension...
For two degree of freedom of vehicle suspension model, a novel adaptive controller is presented. In order to compare and analyse, acceleration mean square root of vehicle's vibration is adopted as evaluation index for the riding comfort. In addition to considering the handing safety of vehicle, wheel dynamic load and suspension dynamic deflection are also used to contrast research. The simulation...
According to the model of vehicle suspension, a novel fuzzy control method based on adaptive technology' is applied to active control of automotive suspension system. An analytic fuzzy control algorithm is advanced in order to improve the riding comfort and handling safety of automotive. Because the algorithm can adjust the rectification factor of fuzzy controller, it not only can reflect the advantage...
In this paper, the riding comfort and handling safety of vehicle are regarded as control aims. An adjustable fuzzy control algorithm which fuzzy control rule table can be obtained with the numerical calculation is advanced. Because the algorithm can adjust the rectification factor of fuzzy controller, it not only can reflect the advantage of fuzzy logic in nonlinearity system but also can improve...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.