Research of fuzzy control strategy on artificial climate chest

ABSTRACT

Aiming at the lack of effective control strategies about a nonlinear, strong coupling and long time delay object--artificial climate chest, a new adaptive control method is proposed based on fuzzy theory. An improved fuzzy controller which can self-adjust parameters on-line is designed. Furthermore, it is proved that the control strategy in this paper is effective and superior with fuzzy set theory, multi-variable Fourier Transform and approximate theory by analyzing the essential model of fuzzy controller. Last, the results of experiments show that the method proposed in this paper can control temperature and humidity in artificial climate chest better. The results of this paper can be helpful in understanding fuzzy control more deeply and directing how to design fuzzy controller for complicated systems.

REFERENCES

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INDEX TERMS

Primary Classification:
  I. Computing Methodologies
  I.2 ARTIFICIAL INTELLIGENCE
      I.2.3 Deduction and Theorem Proving
          Subjects: Uncertainty, "fuzzy," and probabilistic reasoning

Additional Classification:
  I. Computing Methodologies
  I.2 ARTIFICIAL INTELLIGENCE
      I.2.3 Deduction and Theorem Proving
          Subjects: Deduction (e.g., natural, rule-based)

General Terms:
Theory, Verification

Keywords:
artificial climate chest, essential model, fuzzy adaptive control, fuzzy approximator