“…Shafiei simulated a ¼ car active suspension system in Simulink/MATLAB, to reduce the vehicle body displacement and acceleration and to improve road holding and ride comfort of the vehicle using Ziegler-Nichol's method. The vehicle body experienced less force comparatively than passive suspension [60].…”
Automotive suspension systems provide passenger safety, ride comfort and vehicle handling in passenger and commercial vehicles. Through extensive research in the last couple of decades coupled with the recent advancements in technology, the improvement in vehicle handling and ride comfort have been significant by using various control strategies in semi-active and fully active suspension systems. Despite a significant number of articles available on the enhancement and improvement of vehicle suspension systems, there is certainly a lack of knowledge on various control strategies and algorithmic techniques used in the vehicle suspension system. Thereby, to address the gap, this review consecutively attempts to comprehensively explore the various research work conducted on the various control strategies used in vehicle suspension systems.
“…Shafiei simulated a ¼ car active suspension system in Simulink/MATLAB, to reduce the vehicle body displacement and acceleration and to improve road holding and ride comfort of the vehicle using Ziegler-Nichol's method. The vehicle body experienced less force comparatively than passive suspension [60].…”
Automotive suspension systems provide passenger safety, ride comfort and vehicle handling in passenger and commercial vehicles. Through extensive research in the last couple of decades coupled with the recent advancements in technology, the improvement in vehicle handling and ride comfort have been significant by using various control strategies in semi-active and fully active suspension systems. Despite a significant number of articles available on the enhancement and improvement of vehicle suspension systems, there is certainly a lack of knowledge on various control strategies and algorithmic techniques used in the vehicle suspension system. Thereby, to address the gap, this review consecutively attempts to comprehensively explore the various research work conducted on the various control strategies used in vehicle suspension systems.
“…The author studied MR damper using SIMULINK environment in MATLAB for quarter vehicle model. Their first aim was to implement the correct control system for an active suspension system of a vehicle and a take closer look at the hydraulic cylinder and servo valve concept details and its closed-loop control system and the second aim was to gain both ride comfort and reliable road-holding by correctly tunning the PID parameters for an active suspension system to reduce the vehicle body displacement and acceleration [10]. Furthermore, the hydraulic pressure, hydraulic force, and total transmitted force to the vehicle body are compared for active and passive suspension systems.…”
Section: Literature Reviewmentioning
confidence: 99%
“…The simulation results showed that the car's body displacement and acceleration have lower amplitude compared to the passive suspension case. Hence, active suspensions can provide the passengers more riding comfort and better roadholding while traveling over harsh street surfaces for the manufacturers [10].…”
Magnetorheological dampers are dampers filled with magnetorheological fluid, which is controlled by a magnetic field, usually using an electromagnet. Viscosity of MR fluid changes with the application of magnetic field. In this way we can directly change the stiffness and performance of MR damper based on velocity of vehicle and topology of road, thus, providing the improved damping effect. This paper deals with improvement in MR damper design. The design proposed in this paper consists of two pistons with two linear generators in such a way that each piston couples with one linear generator. Both pistons work as opposed pistons, moving directly opposite to each other. This model utilizes six forces converging system to stability, leading to more compactness. Most of the forces including in this system vary with topology of road and velocity of car so leading to better robustness. In addition to this, model proposed is self-actuating and regenerative. Thus, resolves the issue of external power supply and harvests the vibrational force to develop electricity for its running. This model is self-dependent and doesn't require on board electrical sensors and microprocessors, leading to more reliable MR damper design comprising of least components. There are multiple methods of actuation of MR damper which varies on the basis of structure and assembly, and type of generator used. Both linear and rotary generators can serve the purpose. In this paper linear actuation for this model is analyzed. This paper also deals with structural design and development of the model on the basis of certain parameters. Simulation and analysis of this model is then performed to assure the effectiveness of design. Solid works is being used for designing the structure of model and MATLAB for vibrational analysis. Simulink interface of MATLAB is used for electronic component analysis.
“…In the field of automobile suspension control, traditional PID control has the advantages of good stability, well-adapted, and easy implementation (Babak, 2022). It has strong applicability in the face of some complex systems; however, its control effect is not ideal in the face of such complex nonlinear systems as suspension systems.…”
Electronic suspensions can take into account the ride comfort and safety of the vehicle, the continuous damping control (CDC) shock absorber is the core component of the electronic suspension. CDC shock absorber and electronic suspension have a promising future for application in automotive. This paper proposed an adaptive variable domain fuzzy PID control strategy for semi-active suspensive to effectively improve the vibration reduction effect of the automobile suspension system. By analyzing the dynamic performance of the semi-active suspension system coupled with the CDC shock absorber to get the control variables, we deduce the math function of semi-active suspension. In addition, the simulation model of the semi-active suspension based on the bench test of shock absorbers was established. Under the observation of performance indicators, though comparing the new control and other different control strategies, which can prove the effectiveness of the new method. From the simulation results, the shock absorber simulation model is correct and the performance of the proposed control strategies are effective than the traditional PID control and fuzzy control under the random road excitation. In particular, in the 120 km/h case by using VAC, the peak values of the suspension dynamic deflection, vehicle body acceleration, and car body dynamic load are reduced by 49.6%, 50%, and 50%. For a semi-active suspension using the CDC shock absorber, the proposed control method provides better ride comfort to passengers due to lower peak compared with the fuzzy control strategy and the PID control strategy, it can be used as an optimized design method for suspension.
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