Intelligence-based vehicle active suspension adaptive control systems

Intelligence-based vehicle active suspension adaptive control systems

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This chapter reviews computational-intelligence-involved approaches in active vehicle suspension control systems with a focus on the problems raised in practical implementations by their nonlinear and uncertain properties. After a brief introduction on active suspension models, the chapter explores state-of-the-art in fuzzy inference systems, neural networks, genetic algorithms, and their combination for suspension control issues. Discussion and comments are provided based on the reviewed simulation and experimental results. The chapter is concluded with remarks and future directions.

Chapter Contents:

  • Abstract
  • 2.1 Introduction
  • 2.2 Background
  • 2.2.1 Active suspension system linear models and control
  • 2.2.2 Nonlinearity and unmodeling dynamic description of active suspension system
  • 2.3 Adaptive fuzzy control
  • 2.4 Adaptive fuzzy sliding-mode control
  • 2.4.1 Alleviating SMC chattering
  • 2.4.2 FL controller complementary to SMC for system nonlinearity and uncertainty
  • 2.5 Adaptive neural network control
  • 2.6 Genetic algorithm-based adaptive optimization and control
  • 2.7 Adaptive control integration
  • 2.7.1 Adaptive neuro-fuzzy control
  • 2.7.2 Adaptive genetic-based optimal fuzzy control
  • 2.7.3 GA-NN combined control
  • 2.8 Concluding remarks
  • Acknowledgments
  • References

Inspec keywords: intelligent control; fuzzy reasoning; neural nets; adaptive control; genetic algorithms; suspensions (mechanical components); mechanical variables control

Other keywords: genetic algorithms; intelligence-based vehicle active suspension adaptive control systems; uncertain properties; nonlinear properties; computational-intelligence-involved approach; fuzzy inference systems; neural networks

Subjects: Mechanical variables control; Optimisation techniques; Knowledge engineering techniques; Optimisation; Self-adjusting control systems; Control engineering computing; Neural computing techniques; Mechanical components

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