Figure - available from: Journal of Low Frequency Noise Vibration and Active Control
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An 8-DOF three-axle vehicle model with semi-active suspension is built in this paper, of which the accuracy is verified through simulations and experiments. Based on the optimal control theory, the linear quadratic Gaussian controller for semi-active suspension is designed with 10 evaluation indicators. Considering the deficiency of linear quadrati...
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Citations
... For the extraction of the TPA excitation force in multiple transfer paths, as shown in Fig. 2 If the suspension structure in the vehicle transfer path design does not meet the requirements, the road noise performance of the vehicle will also deteriorate, [19], [20]. ...
In the use of new energy vehicles, user experience has always been the key project of major manufacturers. At present, the research on user experience focuses on the posture performance of the vehicle itself, and less attention is paid to road noise. Therefore, this study takes the road noise problem of new energy vehicles as the object. The finite element analysis method is chosen for modeling. And the research on the optimization of road noise is carried out. After modeling, the correctness of the model was tested, and all four modes were controlled within the modal error range of 5%. When the new energy vehicle based on this model ran at 80 km/h, the peak road noise was reduced by about 11 dB(A). In addition, after optimizing the tire, the peak value decreased by 4 dB(A). After optimizing the transverse stinger of the rear suspension, the Z-bending mode was increased by 22.3 Hz. Compared with the previous basic scheme, the optimization effect was obvious. When the optimized new energy vehicle ran at a speed of 60 km/h, the peak value is reduced by about 5 dB(A) on the rough road with a frequency of 65 Hz. The results showed that, under the proposed method, the road noise problem was improved, the peak value of the problem was eliminated, and the expected acceptable range was reached.
... The proposed algorithm is, in some sense, the fractional-order generalization of LQG methods considered in Refs. [38][39][40]. The influence of the optimal controller design sophistication on control quality in terms of output variance is examined. ...
In the paper, the Linear–Quadratic–Gaussian (LQG) control strategy in regulatory mode (disturbance attenuation, zero value of the reference signal) in single-loop control is used to stabilize the system equipped in a non-integer order plant. The influence of the optimal controller design sophistication on control quality in terms of output variance is examined. It has been shown that the optimal implementation length of fractional-order difference is relatively low (several dozen in considered examples). Therefore, further increasing the controller’s complexity in terms of approximation length does not improve the control performance. Furthermore, it is presented that, under bounded control signal variance, the optimal fractional order of the controller may be significantly different from the actual fractional order of the plant (in the examples, the difference is up to 0.66).
Truck suspension is a vital component supporting the weight of the vehicle body and plays an important role in transferring wheel load and isolating external vibration. The uneven load distribution between the middle and rear wheels of a tri-axle heavy truck will directly affect the driving stability and safety of the vehicle. To enhance the truck’s wheel load distribution performance and ride comfort, this paper proposes a new coupling suspension system, including an anti-synchronous middle and rear axle hydraulically interconnected suspension (MR-HIS) and the front axle conventional independent suspension (CIS). Considering the load-bearing characteristics of the middle and rear wheels of the tri-axle heavy truck, a five-degree-of-freedom (5-DOF) half-vehicle model of the truck equipped with MR-HIS is constructed. Further, the dynamics equations of the mechanical-hydraulic coupling system are established according to the impedance transfer matrix method and mechanical-hydraulic boundary conditions, and the truck body motion modes are completely decoupled. The modal analysis demonstrates that compared with CIS the proposed MR-HIS system can reduce the body bounce modal stiffness, increase the modal damping ratio, and enhance the dynamic coupling performance of middle and rear wheels. Subsequently, the frequency response analysis is adopted to evaluate the load distribution and vibration isolation performance of the MR-HIS. The comparison analysis results indicate that the proposed MR-HIS system significantly improves the load balance distribution between the middle and rear wheels and suppresses the load transfer to the front wheel, thus the handling stability of the truck is improved. Meanwhile, the body vibration frequency response analysis shows that the MR-HIS can effectively isolate external vibration and improve driving comfort of the tri-axle heavy truck.
