Abstract
We present a time-delayed control (TDC) approach that applies it to the electric power steering (EPS) system for the first time. The TDC approach uses a one-sample delayed information of the system to cancel out uncertain and unknown dynamics, including disturbances. Therefore, it is possible to achieve the dominant pole using the pole-assignment so that it can be easily performed in the desired convergence rate. Moreover, given that tuning parameters of the TDC approach are very few in number, this control approach is very convenient for the practicing engineers who do not have control engineering knowledge. We proved the system criteria for the TDC approach applied to the EPS system and hence can always guarantee the system stability. The effectiveness of the TDC approach is verified through simulations, which is compared to that of the existing control approach.
Highlights
In recent years, interest in vehicles has been focused in which many researches allow for steering devices into vehicle fields
As one of the well-known steering devices, hydraulic power steering (HPS) system [1]–[3] has been applied to many vehicles, which has fast responsibility because it is implemented by mechanical way without electronic equipment
Fuzzy control approaches [14]–[17] have been developed to be applied through work experience in the electronic power steering (EPS) system. Given that these fuzzy-based control approaches are based on membership functions which are designed into driving habits of the drivers, they do not require the information of the EPS system model
Summary
Interest in vehicles has been focused in which many researches allow for steering devices into vehicle fields. Given that these fuzzy-based control approaches are based on membership functions which are designed into driving habits of the drivers, they do not require the information of the EPS system model From these characteristics, it is easy to solve visual problems caused by operating the EPS system so that it has been very helpful to practicing engineers depending on the convenience. Given that these control approaches should be required in a number of tuning parameters to estimate the system uncertainties, they are heavily dependent on many trial-and-error and time-consuming tasks due to parameters such as weighting factor These control approaches may not guarantee convergence to the equilibrium point while stabilizing the EPS system. Solving the inequality equation from the stability criteria, it means that the ‘‘TDC gain’’ JG should satisfy the following region:
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