• Corpus ID: 12727725

Fuzzy PID Controller with Coupled Rules for a Nonlinear Quarter Car Model

@inproceedings{zgrDemir2012FuzzyPC,
  title={Fuzzy PID Controller with Coupled Rules for a Nonlinear Quarter Car Model},
  author={I {\"O}zg{\"u}rDemir},
  year={2012}
}
In this study, Fuzzy PID Control scheme is designed for an active suspension system. The main goal of an active suspension system for using in a vehicle model is reducing body deflections and handling high comfort for a passenger car. The present system was modelled as a two-degree-of-freedom (2-DOF) nonlinear vehicle model. Keywords—Active suspension system, Fuzzy PID controller, a nonlinear quarter car model. 

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References

SHOWING 1-10 OF 23 REFERENCES

Fuzzy and Internal Model Control of an Active Suspension System for a 2‐DOF Vehicle Model

Simulation results show that the effectiveness of the fuzzy controller is better than Internal Model Control under the same conditions.

Nonlinear modeling of vehicle suspension system

We develop a comprehensive nonlinear model of a vehicle suspension system which can be used to study control algorithms for active suspension systems. This model is derived using standard kinematics

Active Nonlinear Vehicle-Suspension Variable-Gain Control

  • K. Tahboub
  • Engineering
    Proceedings of the 2005 IEEE International Symposium on, Mediterrean Conference on Control and Automation Intelligent Control, 2005.
  • 2005
A quarter-car two-degree-of-freedom system with nonlinear suspension dynamics that is excited by unknown road profiles is considered and an extended observer is used to estimate the nonlinear effects as well as the road profile.

A tunable fuzzy logic controller for vehicle-active suspension systems

A new model-free adaptive sliding controller for active suspension system

A functional approximation (FA) based adaptive sliding controller with fuzzy compensation is proposed for an active suspension system that can suppress the oscillation amplitude of the sprung mass effectively and guarantee the control system stability.

Analysis of direct action fuzzy PID controller structures

The rule decoupled and one-input rule structures proposed in this paper provide greater flexibility and better functional properties than the conventional fuzzy PHD structures.

A Frequency Domain Technique for Characterizing Nonlinearities in a Tire-Vehicle Suspension System

Characterization of tire and suspension system nonlinearities in measured data is the first step in developing input-output quarter car models; however, system identification procedures, which

Fuzzy neural PID controller and tuning its weight factors using genetic algorithm based on different location crossover

The result of running shows that the fuzzy neural PID controller optimized by genetic algorithm has the better and satisfactory behavior for real time industrial control processing.