Abstract
This paper presents a novel nonlinear estimator called the fuzzy finite memory (FFM) state estimator for electro-hydraulic active suspension systems, based on fuzzy techniques and finite impulse response. The Takagi-Sugeno fuzzy model is introduced to effectively describe highly nonlinear suspension systems with electro-hydraulic actuator dynamics. Compared with the conventional state estimator, which has an infinite memory structure and requires whole data from the initial to current time, the proposed fuzzy state estimator with a finite memory structure guarantees robustness against external disturbances and modeling uncertainty. The simulation results verify that the developed fuzzy finite memory state estimator is more robust under external disturbances and modeling uncertainties than the existing infinite impulse response nonlinear estimator.
Highlights
Automotive electronics technology is being developed for the safety and comfort of drivers and passengers
Considering the interaction between the vehicle suspension systems and the actuator, the implementation of the actuator becomes more difficult in many practical applications [16]
Many studies have demonstrated that the state estimator based on the finite memory structure is robust against incorrect information and modeling uncertainty compared with the infinite impulse response (IIR)-based state estimator [34]–[36]
Summary
Automotive electronics technology is being developed for the safety and comfort of drivers and passengers. Most studies on the control design of active suspension systems are related to the state feedback structure. Many studies have demonstrated that the state estimator based on the finite memory structure is robust against incorrect information and modeling uncertainty compared with the IIR-based state estimator [34]–[36]. Despite being an important topic for feedback control, to the best of our knowledge, only a few papers address the state estimator design problem for active suspension systems. For the first time, we investigate a new fuzzy finite-memory stateestimation problem for active suspension systems, including nonlinear electro-hydraulic actuator dynamics. The fuzzy finite memory state estimator design of active suspension systems with electro-hydraulic actuator is dealt with for the first time. The proposed fuzzy finite memory state estimator does not require noise information and uses only recent measurements.
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