Description: 一种新型的智能控制器,分为定值控制和伺服控制两种情况,通过与PID控制的比较可以发现此新型智能控制器的优点。-A new type of intelligent controllers, will be divided into control and servo control value both cases, by comparison with the PID control can be found in this new type of intelligent controller advantages. Platform: |
Size: 12288 |
Author:罗成 |
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Description: a design methodology is introduced that
blends the classical PID and the fuzzy controllers in an
intelligent way and thus a new intelligent hybrid
controller has been achieved. Basically, in this design
methodology, the classical PID and fuzzy controller
have been combined by a blending mechanism that
depends on a certain function of actuating error.
Moreover, an intelligent switching scheme is induced
on the blending mechanism that makes a decision upon
the priority of the two controller parts namely, the
classical PID and the fuzzy constituents. The
simulations done on various processes using the new
hybrid fuzzy PID controller provides ‘better’ system
responses in terms of transient and steady-state
performances when compared to the pure classical PID
or the pure fuzzy controller applications. The controller
parameters are all tuned by the aid of genetic search
algorithm.-a design methodology is introduced that
blends the classical PID and the fuzzy controllers in an
intelligent way and thus a new intelligent hybrid
controller has been achieved. Basically, in this design
methodology, the classical PID and fuzzy controller
have been combined by a blending mechanism that
depends on a certain function of actuating error.
Moreover, an intelligent switching scheme is induced
on the blending mechanism that makes a decision upon
the priority of the two controller parts namely, the
classical PID and the fuzzy constituents. The
simulations done on various processes using the new
hybrid fuzzy PID controller provides ‘better’ system
responses in terms of transient and steady-state
performances when compared to the pure classical PID
or the pure fuzzy controller applications. The controller
parameters are all tuned by the aid of genetic search
algorithm. Platform: |
Size: 258048 |
Author:mohaideen |
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Description: In this study, a design methodology is introduced that blends the classical PID and the fuzzy controllers in an intelligent way and thus a new intelligent hybrid controller has been achieved. Basically, in this design methodology, the classical PID and fuzzy controller have been combined by a blending mechanism that depends on a certain function of actuating error. Moreover, an intelligent switching scheme is induced on the blending mechanism that makes a decision upon the priority of the two controller parts namely, the classical PID and the fuzzy constituents-In this study, a design methodology is introduced that blends the classical PID and the fuzzy controllers in an intelligent way and thus a new intelligent hybrid controller has been achieved. Basically, in this design methodology, the classical PID and fuzzy controller have been combined by a blending mechanism that depends on a certain function of actuating error. Moreover, an intelligent switching scheme is induced on the blending mechanism that makes a decision upon the priority of the two controller parts namely, the classical PID and the fuzzy constituents Platform: |
Size: 10240 |
Author:yashar |
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Description: This paper presents the design of an intelligent fuzzy
gain scheduled proportional-integral (FGSPI) controller as the
supplementary controller for load frequency control (LFC) of
two-area interconnected power system with reheat type thermal
unit of equal capacity in each area. The dynamic response has
been studied for 1% step load perturbation in area-1. The
proposed FGSPI controller is compared against conventional
proportional-integral (PI) controller and state feedback linear
quadratic regulator (LQR) controller using settling times,
overshoots and undershoots of the tie-line power and frequency
deviations as performance indices. Comparative analysis
indicates that the proposed intelligent controller gives better
performance than conventional controllers. Platform: |
Size: 304128 |
Author:phdscolar11
|
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