Abstract
Studies have shown that PID controllers can be realized by type-1 (conventional) fuzzy logic systems (FLSs). However, the input-output mapping of such fuzzy PID controllers is fixed. The control performance will, therefore, vary if the system parameters are uncertain. Type-2 fuzzy sets offer the possibility of representing higher level of uncertainty then type-1 and hence let us model and minimize the effect of uncertainties. This paper aims at developing an Interval type-2 FLS whose inputs are error (e) and change in error (ce) of a feedback control system to control a plant whose parameters are uncertain. Authors proposed a detailed discussion on design of interval type-2 fuzzy PI controller. We used Fuzzy type-2 PI Controller to control 1st order system and 2nd order system with different standard reference inputs. Comparison of results of conventional PI controller, type-1 PI controller and type-2 PI fuzzy controller are presented and discussed. The simulation results verify the proposed type- 2 fuzzy PI Controller is superior to its type- 1 counterpart.
Original language | English |
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Title of host publication | Genetic Algorithms, Fuzzy Systems and Website Classification |
Publisher | Nova Science Publishers, Inc. |
Pages | 73-90 |
Number of pages | 18 |
ISBN (Print) | 9781613240007 |
Publication status | Published - Feb 2012 |
Externally published | Yes |
Keywords
- Height type reduction
- Interval type 2 fuzzy sets
- Singleton membership function
- Type 2 fuzzy logic systems
- Type 2 fuzzy PI controller
- Upper and lower membership functions
ASJC Scopus subject areas
- General Computer Science