Multimode Coordination Control of a Hybrid Active Suspension

Kou, Farong; Wei, Dongdong; Tian, Lei

doi:10.1155/2018/6378023

Cited by 7 publications

(7 citation statements)

References 14 publications

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“…The average and maximum values of the two parameters above may be employed for continuous vibrations. RMS critical allows for calculating mean values 9 – 11 .…”

Section: Introductionmentioning

confidence: 99%

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A novel approach with a fuzzy sliding mode proportional integral control algorithm tuned by fuzzy method (FSMPIF)

Nguyen

2023

Sci Rep

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An automobile's vibration can be caused by stimulation from the road's surface. The change in displacement and acceleration values of the sprung mass is used to evaluate the automobile's vibration. Utilizing an active suspension system is recommended in order to attain an increased level of ride comfort. This article presents a novel strategy for regulating the operation of an active suspension system that has been put up for consideration. The PI (Proportional Integral) algorithm, the SMC (Sliding Mode Control) algorithm, and the Fuzzy algorithm served as the basis for developing the FSMPIF algorithm. The signal generated by the SMC algorithm is what is used as the input for the Fuzzy algorithm. In addition, the settings of the PI controller are modified with the help of yet another Fuzzy algorithm. These two Fuzzy methods operate independently from one another and in a setting that is wholly distinct from one another. This algorithm was created in a wholly original and novel way. Using a numerical modelling technique, the vibration of automobiles is investigated with a particular emphasis on two distinct usage situations. In each case, a comparison is made between four different circumstances. Once the FSMPIF method is implemented, the results of the simulation process have demonstrated that the values of displacement and acceleration of the sprung mass are significantly decreased. This was determined by looking at the values before and after implementing the new algorithm. In the first case, these figures do not surpass a difference of 2.55% compared to automobiles that use passive suspension systems. The second case sees these figures falling short of 12.59% in total. As a direct result, the automobile's steadiness and level of comfort have been significantly improved.

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“…The average and maximum values of the two parameters above may be employed for continuous vibrations. RMS critical allows for calculating mean values 9 – 11 .…”

Section: Introductionmentioning

confidence: 99%

“…In order to ease the issue, it is essential to linearize a hydraulic actuator. This information was provided by Nguyen et al 11 . Combining the SMC and Fuzzy techniques will improve its performance 29 .…”

Section: Introductionmentioning

confidence: 99%

A novel approach with a fuzzy sliding mode proportional integral control algorithm tuned by fuzzy method (FSMPIF)

Nguyen

2023

Sci Rep

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show abstract

“…Te maximum and average values will be considered for comparison between oscillation situations. Besides, the average value can be calculated according to the RMS (root mean square) criterion [18]. Some other studies also use DLC (dynamic load coefcient) criteria to evaluate the interaction between the wheel and the road surface when the vehicle body oscillates [19].…”

Section: Introductionmentioning

confidence: 99%

The Dynamic Model and Control Algorithm for the Active Suspension System

Nguyen

2023

Mathematical Problems in Engineering

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Road surface roughness is the leading cause of vehicle oscillation. The suspension system is used to dampen these oscillations. The active suspension system equipped with a hydraulic actuator is more efficient than the passive one. Therefore, it is used to replace the passive suspension system. The article reviews and analyses models and control algorithms for active suspension systems. In this article, the author mentioned three dynamic models commonly used to simulate vehicle oscillations: a quarter-dynamic model, a half-dynamic model, and a fully dynamic model. Each hydraulic actuator can be considered a state variable in the dynamic model. Besides, the control algorithm for the suspension system is significant. Algorithms like PID (proportional–integral–derivative) and LQR (linear quadratic regulator) will fit the linear model. In contrast, the nonlinear model’s algorithms, such as SMC (sliding mode control), fuzzy, and ANN (artificial neural network), will perform better. Overall, vehicle oscillation can be significantly improved once an active suspension system is used. The contents analysed in this article will be the database for selecting control models and algorithms by other researchers in the future.

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“…In recent years, domestic and overseas scholars have been studying on how to reduce the energy consumption of the active suspension, while ensuring dynamic performance of the vehicle [8][9][10][11]. Among them, many scholars put forward the hybrid suspension systems with different working modes so as to coordinate the contradictions between dynamic performance and energy consumption of the suspension system.…”

Section: Introductionmentioning

confidence: 99%

Endocrine Composite Skyhook-Groundhook Control of Electromagnetic Linear Hybrid Active Suspension

Kou

Jing

Chen

et al. 2020

Shock and Vibration

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In order to effectively improve vehicle riding comfort, handling stability, and realize vibration energy recovery, a new kind of electromagnetic linear hybrid active suspension (EMLHAS) integrated with linear motor and solenoid valve shock absorber is put forward. Firstly, for the analysis of the suspension performance, a quarter dynamic model of EMLHAS is established. At the same time, the mathematical models of a linear motor, including the active state and energy-regenerative state, are found. The correctness of mathematical models for the linear motor in the active and energy-regenerative states is verified by means of characteristic tests. Moreover, the velocity characteristic tests of solenoid valve shock absorber are carried out to determine its mathematical polynomial model in the semiactive state. Then, a new kind of multimode endocrine composite skyhook-groundhook control strategy is proposed. The suspension motion is divided into four modes according to the driving conditions of the vehicle. An endocrine control with long feedback and short feedback is combined with the skyhook-groundhook control. The control laws of the skyhook-groundhook controller and endocrine controller are, respectively, designed. Finally, the simulation analysis of suspension dynamic performance and energy-regenerative characteristic is done. The results show the control effect of endocrine composite skyhook-groundhook control is better than that of skyhook-groundhook control, which improves vehicle riding comfort and handling stability. Moreover, part of vibration energy is recovered.

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Multimode Coordination Control of a Hybrid Active Suspension

Cited by 7 publications

References 14 publications

A novel approach with a fuzzy sliding mode proportional integral control algorithm tuned by fuzzy method (FSMPIF)

A novel approach with a fuzzy sliding mode proportional integral control algorithm tuned by fuzzy method (FSMPIF)

The Dynamic Model and Control Algorithm for the Active Suspension System

Endocrine Composite Skyhook-Groundhook Control of Electromagnetic Linear Hybrid Active Suspension

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