“…Other research works on adaptive controller applied to MRF and MRE systems can be founded in [129,146,147,148,149,150,151,152,153,154,156,157,158,159,169,184,185,170,171,172,173,174,190].…”
State of the art of control schemes for smart systems featuring magneto-State of the art of control schemes for smart systems featuring magnetorheological materials rheological materials
“…Other research works on adaptive controller applied to MRF and MRE systems can be founded in [129,146,147,148,149,150,151,152,153,154,156,157,158,159,169,184,185,170,171,172,173,174,190].…”
State of the art of control schemes for smart systems featuring magneto-State of the art of control schemes for smart systems featuring magnetorheological materials rheological materials
“…As one of key components in chassis system, vehicle suspension systems connect the vehicle body and wheel to provide a support force and further to improve vehicle dynamics performance [1], and they are usually categorized into three types as passive suspension, semiactive suspension, and active suspension systems [2]. For the passive and semiactive suspension systems, both of them are limited in their ability to possess su cient ride quality and handling stability [3][4][5].…”
This paper proposes a hybrid fault-tolerant control strategy for nonlinear active suspension subjected to actuator faults and road disturbances. First, an augmented closed-loop system model is established for the nonlinear active suspension system with the actuator faults and road disturbances. Then, based on this model, a hybrid fault-tolerant controller that consists of a nominal state-feedback controller and a robust H∞ observer is proposed to stabilize the control plant under fault-free condition and further compensate for the suspension performance loss under the actuator fault condition. Finally, a half-vehicle active suspension example is exploited to demonstrate the effectiveness of the proposed hybrid fault-tolerant controller under various running conditions.
“…At this point, the adaptive control approach can give better performance for uncertain systems. Yıldız et al [12] designed a nonlinear adaptive controller and H ∞ controller for a quarter vehicle under parametric uncertainties. In their study, a ball screw mechanism was used for parameters identification of MR damper mathematical model.…”
In this study, vehicle body vibrations are semiactively controlled using a nonlinear adaptive controller designed to improve passenger comfort by guaranteeing closed loop system stability under variable road disturbances with parametric uncertainty. Semiactive vibration control is implemented to the system through the magnetorheological damper. The MR damper test system is established in laboratory conditions, and the required values that are measured from the test system are used in computer simulations via the hardware in the loop simulation (HILS) method. By this way, it is possible to avoid the financial and other difficulties of the experimental study by establishing the test system completely, and also the hesitations that may arise in terms of producing realistic results of pure simulation studies of nonlinear dynamics. A 4-degree-of-freedom half-vehicle model is developed to examine the vehicle body bounce and pitch movements, and simulations are carried out under bump and random road irregularities, and the results are presented in comparison with the performance of the conventional skyhook controller. The performances of both controllers are interpreted from the aspect of acceleration and displacement responses of the vibrations and related criteria. As a result, the vibration reduction performances of both controllers are investigated experimentally using the HILS test system and the obtained results are evaluated with some comparative figures, performance criteria, and root mean square averages of vibrations.
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