Abstract:a r t i c l e i n f o a b s t r a c tArticle history: Available online 15 November 2014 Keywords: Expert system Knowledge base PID controller Ziegler-Nichols step response method Chien Hrones and Reswick design method Fuzzy system Feedback controlAlthough it is long since the first PID controller design method was developed, new methods are still being created and no general applicable method has been found. The paper extends the set of designing methods of PID controllers. Design methods can be divided into c… Show more
“…(5,8,18), (5,8,19) µ Ne µ N ∆ 2 e µ Pe µ P ∆ 2 e 17. (6,7,14), (6,8,13), (6,8,20) µ Ne µ N ∆ 2 e µ Ne µ P ∆ 2 e 18. (7,14,6), (8,13,6), (8,20,6) …”
Section: Analytical Structure Of the Simplest Ts Pid Controllermentioning
confidence: 99%
“…(8,18,5), (8,19,5) µ N ∆e µ N ∆ 2 e µ P ∆e µ P ∆ 2 e 21. (9,11,13), (9,11,20), (10,11,19) µ Pe µ P ∆ 2 e µ Ne µ P ∆ 2 e 22. (9,12,14), (9,12,15) µ Pe µ P ∆ 2 e µ Ne µ N ∆ 2 e 23.…”
Section: Analytical Structure Of the Simplest Ts Pid Controllermentioning
confidence: 99%
“…(10,11,18), (10,12,16), (10,12,17) µ Pe µ P ∆ 2 e µ Pe µ N ∆ 2 e 24. (11,13,9), (11,19,10), (11,20,9) µ P ∆e µ P ∆ 2 e µ P ∆e µ N ∆ 2 e 25. (11,18,10), (12,16,10), (12,17,10) µ P ∆e µ P ∆ 2 e µ N ∆e µ P ∆ 2 e 26.…”
Section: Analytical Structure Of the Simplest Ts Pid Controllermentioning
confidence: 99%
“…(12,5,9), (12,14,9) µ P ∆e µ P ∆ 2 e µ N ∆e µ N ∆ 2 e 27. (13,9,11),(19,10,11),(20, 9,11) µ Pe µ P ∆e µ Pe µ N ∆e 28. (13,16,8),(14,6,7),(20, 6,8) µ Ne µ N ∆e µ Pe µ N ∆e 29.…”
Section: Analytical Structure Of the Simplest Ts Pid Controllermentioning
confidence: 99%
“…Some analytical structures for Mamdani type PID controllers [3][4][5][6]8,9] are available, but analytical structures for TS type PID controllers [7,11] are rather limited. Some design methods of Mamdani type [10] and TS type [13] PID controllers have been reported. A review on PID controllers may be found in [12].…”
In this paper analytical structure of the simplest fuzzy PID controller with modified Takagi-Sugeno (TS) rule base is found. Minimal number (two) of fuzzy sets is employed on each input variable. The modified rule base uses only two rules so that the number of adjustable parameters is reduced. The triangular norm and co-norm are chosen as Algebraic Product (AP) and Maximum (Max), respectively. It is shown that the fuzzy PID controller with modified TS rule scheme is equivalent to a nonlinear variable gain PID controller.
“…(5,8,18), (5,8,19) µ Ne µ N ∆ 2 e µ Pe µ P ∆ 2 e 17. (6,7,14), (6,8,13), (6,8,20) µ Ne µ N ∆ 2 e µ Ne µ P ∆ 2 e 18. (7,14,6), (8,13,6), (8,20,6) …”
Section: Analytical Structure Of the Simplest Ts Pid Controllermentioning
confidence: 99%
“…(8,18,5), (8,19,5) µ N ∆e µ N ∆ 2 e µ P ∆e µ P ∆ 2 e 21. (9,11,13), (9,11,20), (10,11,19) µ Pe µ P ∆ 2 e µ Ne µ P ∆ 2 e 22. (9,12,14), (9,12,15) µ Pe µ P ∆ 2 e µ Ne µ N ∆ 2 e 23.…”
Section: Analytical Structure Of the Simplest Ts Pid Controllermentioning
confidence: 99%
“…(10,11,18), (10,12,16), (10,12,17) µ Pe µ P ∆ 2 e µ Pe µ N ∆ 2 e 24. (11,13,9), (11,19,10), (11,20,9) µ P ∆e µ P ∆ 2 e µ P ∆e µ N ∆ 2 e 25. (11,18,10), (12,16,10), (12,17,10) µ P ∆e µ P ∆ 2 e µ N ∆e µ P ∆ 2 e 26.…”
Section: Analytical Structure Of the Simplest Ts Pid Controllermentioning
confidence: 99%
“…(12,5,9), (12,14,9) µ P ∆e µ P ∆ 2 e µ N ∆e µ N ∆ 2 e 27. (13,9,11),(19,10,11),(20, 9,11) µ Pe µ P ∆e µ Pe µ N ∆e 28. (13,16,8),(14,6,7),(20, 6,8) µ Ne µ N ∆e µ Pe µ N ∆e 29.…”
Section: Analytical Structure Of the Simplest Ts Pid Controllermentioning
confidence: 99%
“…Some analytical structures for Mamdani type PID controllers [3][4][5][6]8,9] are available, but analytical structures for TS type PID controllers [7,11] are rather limited. Some design methods of Mamdani type [10] and TS type [13] PID controllers have been reported. A review on PID controllers may be found in [12].…”
In this paper analytical structure of the simplest fuzzy PID controller with modified Takagi-Sugeno (TS) rule base is found. Minimal number (two) of fuzzy sets is employed on each input variable. The modified rule base uses only two rules so that the number of adjustable parameters is reduced. The triangular norm and co-norm are chosen as Algebraic Product (AP) and Maximum (Max), respectively. It is shown that the fuzzy PID controller with modified TS rule scheme is equivalent to a nonlinear variable gain PID controller.
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