Next Article in Journal
Investigation of Ash Deposition Dynamic Process in an Industrial Biomass CFB Boiler Burning High-Alkali and Low-Chlorine Fuel
Next Article in Special Issue
Do People Drive Light Cars Carefully? A Comparative Study of Risky Driving Behaviors between Light Cars and Others
Previous Article in Journal
Dual Closed-Loop Linear Active Disturbance Rejection Control of Grid-Side Converter of Permanent Magnet Direct-Drive Wind Turbine
Previous Article in Special Issue
A CAV Platoon Control Method for Isolated Intersections: Guaranteed Feasible Multi-Objective Approach with Priority
Open AccessArticle

Active Shock Absorber Control Based on Time-Delay Neural Network

Automotive Engineering Department, South Ural State University, 454080 Chelyabinsk, Russia
*
Author to whom correspondence should be addressed.
Energies 2020, 13(5), 1091; https://doi.org/10.3390/en13051091
Received: 15 January 2020 / Revised: 4 February 2020 / Accepted: 24 February 2020 / Published: 2 March 2020
(This article belongs to the Special Issue Intelligent Transportation Systems)
A controlled suspension usually consists of a high-level and a low-level controller. The purpose the high-level controller is to analyze external data on vehicle conditions and make decisions on the required value of the force on the shock absorber rod, while the purpose of the low-level controller is to ensure the implementation of the desired force value by controlling the actuators. Many works have focused on the design of high-level controllers of active suspensions, in which it is considered that the shock absorber can instantly and absolutely accurately implement a given control input. However, active shock absorbers are complex systems that have hysteresis. In addition, electro-pneumatic and hydraulic elements are often used in the design, which have a long response time and often low accuracy. The application of methods of control theory in such systems is often difficult due to the complexity of constructing their mathematical models. In this article, the authors propose an effective low-level controller for an active shock absorber based on a time-delay neural network. Neural networks in this case show good learning ability. The low-level controller is implemented in a simplified suspension model and the simulation results are presented for a number of typical cases. View Full-Text
Keywords: Active suspension; shock absorber; neural network; control Active suspension; shock absorber; neural network; control
Show Figures

Graphical abstract

MDPI and ACS Style

Alyukov, A.; Rozhdestvenskiy, Y.; Aliukov, S. Active Shock Absorber Control Based on Time-Delay Neural Network. Energies 2020, 13, 1091.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop