Synthesis of the optimal-square-law regulator for car suspension control

2021 ◽  
Author(s):  
A.D. Ovsyannikov ◽  
Keyword(s):  
Car Suspension ◽  
Suspension Control

Design of Semiactive Vehicle Suspension Controls in Frequency Domain

2009 ◽  
Author(s):  
Xubin Song ◽  
Dongpu Cao
Keyword(s):  
Frequency Domain ◽  
Control Algorithm ◽  
The United States ◽  
Vehicle Suspension ◽  
Frequency Range ◽  
Car Suspension ◽  
Suspension Control ◽  
Working Frequency ◽  
Core Part ◽  
States Patent

Through the simulation study of a semiactive quarter car suspension, this paper is to expatiate on the control algorithm documented in the United States Patent 6,873,890 [1]. That patent presents a new method to design semiactive suspension controls in the frequency domain. As is well known, suspension related dynamics has two dominant modes in the working frequency range up to 25Hz. As such, the suspension dynamic system has three distinguishable frequency sections. In order to achieve better performance, different controls have to be applied to each frequency section, respectively. The significant core part of the patented algorithm is to provide an approach to identify the excited frequencies in real time that are transmitted through the vehicle suspension. Then different controls of such as skyhook, groundhook and other damping strategies are combined accordingly to accomplish the best performance overall. Thus through the suspension control the vehicle dynamics (such as ride and handling) is expected to be improved in the broad frequency range in comparison to passive suspensions with a trade-off design.

scholarly journals Coupling Mechanism and Decoupled Suspension Control Model of a Half Car

2016 ◽  
Vol 2016 ◽  
pp. 1-13
Author(s):  
Hailong Zhang ◽  
Ning Zhang ◽  
Fuhong Min ◽  
Subhash Rakheja ◽  
Chunyi Su ◽  
...  
Keyword(s):  
Decoupling Control ◽  
Coupling Mechanism ◽  
Damping Force ◽  
Operation Condition ◽  
Car Suspension ◽  
Suspension Control ◽  
Lower Control Arm ◽  
Decoupled Control ◽  
Quarter Car ◽  
Suspension Structure

A structure decoupling control strategy of half-car suspension is proposed to fully decouple the system into independent front and rear quarter-car suspensions in this paper. The coupling mechanism of half-car suspension is firstly revealed and formulated with coupled damping force (CDF) in a linear function. Moreover, a novel dual dampers-based controllable quarter-car suspension structure is proposed to realize the independent control of pitch and vertical motions of the half car, in which a newly added controllable damper is suggested to be installed between the lower control arm and connection rod in conventional quarter-car suspension structure. The suggested damper constantly regulates the half-car pitch motion posture in a smooth and steady operation condition meantime achieving the expected completely structure decoupled control of the half-car suspension, by compensating the evolved CDF.

A Frequency-Adaptive Multi-Objective Suspension Control Strategy

2004 ◽  
Vol 126 (3) ◽  
pp. 700-707 ◽  
Author(s):  
Jianbo Lu
Keyword(s):  
Control Law ◽  
Control Laws ◽  
Handling Performance ◽  
Multi Objective ◽  
Adaptive Law ◽  
Car Suspension ◽  
Road Profile ◽  
Suspension Control ◽  
Objective Control ◽  
Better Than

This paper studies a new FAMOS strategy for suspension control. FAMOS stands for frequency-adaptive multi-objective suspension. This strategy adjusts the control law based on certain frequency information and achieves a balanced ride and handling performance. It contains a road profile identifier, several multi-objective control laws which optimize a mixed H2/H∞ performance index based on different performance preferences, and an adaptive law based on the frequency contents estimated from the identified road profile. The strategy is applied to a quarter car suspension control and the simulation results show that the achieved performance is better than many existing results.

Online Adaptive Neuro-Fuzzy Based Full Car Suspension Control Strategy

2015 ◽  
pp. 992-1039
Author(s):  
Laiq Khan ◽  
Shahid Qamar
Keyword(s):  
Degrees Of Freedom ◽  
Ride Comfort ◽  
Sliding Mode ◽  
Active Suspension ◽  
Suspension System ◽  
Car Model ◽  
Car Suspension ◽  
Neuro Fuzzy ◽  
Suspension Control ◽  
Soft Computing Technique

Suspension system of a vehicle is used to minimize the effect of different road disturbances for ride comfort and improvement of vehicle control. A passive suspension system responds only to the deflection of the strut. The main objective of this work is to design an efficient active suspension control for a full car model with 8-Degrees Of Freedom (DOF) using adaptive soft-computing technique. So, in this study, an Adaptive Neuro-Fuzzy based Sliding Mode Control (ANFSMC) strategy is used for full car active suspension control to improve the ride comfort and vehicle stability. The detailed mathematical model of ANFSMC has been developed and successfully applied to a full car model. The robustness of the presented ANFSMC has been proved on the basis of different performance indices. The analysis of MATLAB/SMULINK based simulation results reveals that the proposed ANFSMC has better ride comfort and vehicle handling as compared to Adaptive PID (APID), Adaptive Mamdani Fuzzy Logic (AMFL), passive, and semi-active suspension systems. The performance of the active suspension has been optimized in terms of displacement of seat, heave, pitch, and roll.

scholarly journals Car suspension control system based on wireless power transmission technologies

Radiotekhnika ◽  
2020 ◽  
Vol 2 (201) ◽  
pp. 52-62
Author(s):  
Д.В. Грецких ◽  
В.Г. Лихограй ◽  
А.А. Щербина ◽  
С.Н. Сакало ◽  
Т.С. Ткачева
Keyword(s):  
Control System ◽  
Power Transmission ◽  
Wireless Power ◽  
Wireless Power Transmission ◽  
Car Suspension ◽  
Suspension Control

PID Parameters Prediction Using Neural Network for A Linear Quarter Car Suspension Control

2016 ◽  
Vol 4 (1) ◽  
pp. 20 ◽  
Author(s):  
Kenan Muderrisoğlu ◽  
Dogan Onur Arisoy ◽  
A. Oguzhan Ahan ◽  
Erhan Akdogan
Keyword(s):  
Neural Network ◽  
Car Suspension ◽  
Suspension Control ◽  
Quarter Car

Optimization Design for Car Suspension Elastic Elements

2014 ◽  
Vol 658 ◽  
pp. 23-28
Author(s):  
Carmen Bujoreanu ◽  
Cristel Stirbu
Keyword(s):  
Optimization Design ◽  
Optimization Method ◽  
Optimization Techniques ◽  
Efficient Tool ◽  
Vibrational Response ◽  
Engineering Design Process ◽  
Car Suspension ◽  
Suspension Control ◽  
Definition Of ◽  
Torsion Bar

To realize an efficient car suspension control (for instance in technical inspection) it is important to use easy measurable variables. This is the reason for developing optimization techniques in order to simplify and improve the engineering design process. The paper presents an optimization process of a torsion bar spring included in the car suspension involving the following steps: modeling and analyzing the torsion bar spring behaviour, definition of the optimization objective and the specifications for the proposed solution choosing an appropriate methodology to satisfy the design objectives. It has been used a Min-Max optimization method to highlight the vibration response (in terms of RMS) of the system. CAD analysis and MatLAB optimization are performed on the car suspension elastic element and the obtained results provide an optimum vibrational response and constructive design. This combination of these analyses can be considered an efficient tool in order to ensure the driver and passengers comfort according to the standards.

Adaptive Control of the Shock Absorber with Magnetorheological Fluid in the Car Suspension

2021 ◽  
pp. 3-12
Author(s):  
S.P. Kruglov ◽  
I.A. Zakovyrin
Keyword(s):  
Control Algorithm ◽  
Shock Absorber ◽  
Reference Model ◽  
Low Frequency ◽  
Parametric Identification ◽  
Magnetorheological Fluid ◽  
Vehicle Body ◽  
Mass Model ◽  
Car Suspension ◽  
Suspension Control

The disadvantages of car suspension control systems include their inability to function with uncertainty of the suspension parameters and external disturbances, as well as the impossibility of quickly countering the latter. A new suspension control algorithm is proposed, which is able to reduce the impacts on the vehicle body from the road as well as inertial forces under the uncertainty of these parameters. The algorithm is adaptive and is based on the parametric identification of the mathematical model of the controlled object, performed by the control system in real time, and also on the use of an implicit reference model. A shock absorber with a magnetorheological fluid acts as a controlled element, which is capable of changing the degree of suspension damping. On the example of a two-mass model of the "quarter car" suspension, a model study of the effectiveness of the developed algorithm in comparison with a passive suspension was carried out. The results of the study showed the ability of the proposed adaptive suspension control algorithm to function under the current a priori uncertainty, improving the properties of the suspension in the low frequency range, which is most important for ensuring comfortable conditions for the driver and passengers.

Online Adaptive Neuro-Fuzzy Based Full Car Suspension Control Strategy

2014 ◽  
pp. 617-666 ◽  
Author(s):  
Laiq Khan ◽  
Shahid Qamar
Keyword(s):  
Degrees Of Freedom ◽  
Ride Comfort ◽  
Sliding Mode ◽  
Active Suspension ◽  
Suspension System ◽  
Car Model ◽  
Car Suspension ◽  
Neuro Fuzzy ◽  
Suspension Control ◽  
Soft Computing Technique

Suspension system of a vehicle is used to minimize the effect of different road disturbances for ride comfort and improvement of vehicle control. A passive suspension system responds only to the deflection of the strut. The main objective of this work is to design an efficient active suspension control for a full car model with 8-Degrees Of Freedom (DOF) using adaptive soft-computing technique. So, in this study, an Adaptive Neuro-Fuzzy based Sliding Mode Control (ANFSMC) strategy is used for full car active suspension control to improve the ride comfort and vehicle stability. The detailed mathematical model of ANFSMC has been developed and successfully applied to a full car model. The robustness of the presented ANFSMC has been proved on the basis of different performance indices. The analysis of MATLAB/SMULINK based simulation results reveals that the proposed ANFSMC has better ride comfort and vehicle handling as compared to Adaptive PID (APID), Adaptive Mamdani Fuzzy Logic (AMFL), passive, and semi-active suspension systems. The performance of the active suspension has been optimized in terms of displacement of seat, heave, pitch, and roll.

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