|Author||Mudi, R.K. ♦ Pal, N.R.|
|Sponsorship||IEEE Computational Intelligence Society|
|Source||IEEE Xplore Digital Library|
|Publisher||Institute of Electrical and Electronics Engineers, Inc. (IEEE)|
|Subject Domain (in DDC)||Computer science, information & general works ♦ Data processing & computer science|
|Subject Keyword||Robust control ♦ Fuzzy control ♦ Error correction ♦ Fuzzy logic ♦ Process control ♦ Tuning ♦ Analytical models ♦ Failure analysis ♦ Performance analysis ♦ Three-term control|
|Abstract||Proposes a simple but robust model independent self-tuning scheme for fuzzy logic controllers (FLCs). Here, the output scaling factor (SF) is adjusted online by fuzzy rules according to the current trend of the controlled process. The rule-base for tuning the output SF is defined on error (e) and change of error (/spl Delta/e) of the controlled variable using the most natural and unbiased membership functions (MFs). The proposed self-tuning technique is applied to both PI- and PD-type FLCs to conduct simulation analysis for a wide range of different linear and nonlinear second-order processes including a marginally stable system where even the well known Ziegler-Nichols tuned conventional PI or PID controllers fail to provide an acceptable performance due to excessively large overshoot. Performances of the proposed self-tuning FLCs are compared with those of their corresponding conventional FLCs in terms of several performance measures such as peak overshoot, settling time, rise time, integral absolute error and integral-of-time-multiplied absolute error, in addition to the responses due to step set-point change and load disturbance and, in each case, the proposed scheme shows a remarkably improved performance over its conventional counterpart.|
|Description||Author affiliation :: Dept. of Instrum. Eng., Jadavpur Univ., Calcutta, India|
|Education Level||UG and PG|
|Learning Resource Type||Article|
|Rights Holder||Institute of Electrical and Electronics Engineers, Inc. (IEEE)|
|Size (in Bytes)||487.21 kB|
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