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A new novel of composite adaptive optimal control for MR damper system subjected to mixed disturbances

A new novel of composite adaptive optimal control for MR damper system subjected to mixed disturbances

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This study presents a new hybrid optimal controller to enhance the robustness and stability of dynamic systems subjected to uncertainties and external disturbances. In the formulation of the proposed control system, the Bolza-Meyer (BM) criterion of the optimal controller is modified to meet the system variation, and the sliding-mode controller is modified to obtain the classical control property with the prescribed performance. The proposed controller also includes the H-infinity technique as a bridge for connecting the sub-controls and improving the robust performance of the system. Fuzzy neural networks are used as filters to choose the optimal values for the next calculation. Hence, many advantages of fuzzy neural networks are acquired, related to optimal control, sliding mode control, prescribed performance, and H-infinity techniques. To demonstrate these advantages, the proposed hybrid controller is applied to a vehicle seat suspension for vibration control. Simulation results show that the proposed control obtains good performances than the compared controllers.

Chapter Contents:

  • 3.1 Introduction
  • 3.2 New novel of optimal control for nonlinear system
  • 3.2.1 Proposed control law
  • 3.2.2 Simulation of the proposed optimal control and discussion
  • 3.3 Design of a new composite controller
  • 3.3.1 Fuzzy model
  • 3.3.2 Adaptive optimal control
  • 3.4 Application to vibration control
  • 3.4.1 Vehicle seat suspension system
  • 3.4.2 Simulation results and discussions
  • 3.5 Conclusion
  • Acknowledgment
  • Appendix A
  • References

Inspec keywords: vibration control; fuzzy neural nets; shock absorbers; variable structure systems; adaptive control; neurocontrollers; robust control

Other keywords: dynamic systems; fuzzy neural networks; control system; optimal values; MR damper system; mixed disturbances; hybrid controller; hybrid optimal controller; H-infinity technique; robust performance; control property; sliding mode controller; Bolza-Meyer criterion; external disturbances; system variation; vibration control; composite adaptive optimal control; stability

Subjects: Neural nets; Self-adjusting control systems; Multivariable control systems; Mechanical variables control; Neurocontrol; Stability in control theory; Optimal control

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