The control of dynamical systems with inherent non-linear characteristics has motivated research in non-linear control theory. Two main approaches to dealing with uncertainties in control systems design are adaptive a...
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In this paper, a HGA fuzzy supervisory PI controller using hierarchical genetic algorithms is developed and implemented for controlling the top and bottom product quality of a nonlinear, multi-input multi-output binar...
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ISBN:
(纸本)0780393538
In this paper, a HGA fuzzy supervisory PI controller using hierarchical genetic algorithms is developed and implemented for controlling the top and bottom product quality of a nonlinear, multi-input multi-output binary distillation column when the disturbances enter the column in the form of the changes in feed flow rate. Two conventional PI controllers, one for the bottom product composition and another for the top product composition, are used together in a decentralized control scheme to per form dual composition control. Hierarchical genetic algorithms are used to derive the optimal number and shape of membership functions and fuzzy rules of a fuzzy supervisory system that adapts the parameters of the PI controllers. The real-time implementation results show the effectiveness of the proposed method.
The control of dynamical systems with inherent non-linear characteristics has motivated research in non-linear control theory. Two main approaches to dealing with uncertainties in control systems design are adaptive a...
详细信息
The control of dynamical systems with inherent non-linear characteristics has motivated research in non-linear control theory. Two main approaches to dealing with uncertainties in control systems design are adaptive and robust control. In this paper, discrete direct adaptive control of unknown non-linear SISO systems is considered. The controller is implemented using a fuzzy neural network. The control concept is tested on a laboratory pilot plant and compared to a standard discrete PID Takahashi controller
In this paper, an optimum fuzzy supervisory PI controller using hierarchical genetic algorithms is developed and implemented for controlling the top and bottom product quality of a nonlinear, multi-input multi-output ...
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In this paper, an optimum fuzzy supervisory PI controller using hierarchical genetic algorithms is developed and implemented for controlling the top and bottom product quality of a nonlinear, multi-input multi-output binary distillation column when the disturbance enters the column in the form of the changes in feed flow rate. Two conventional PI controllers, one for the bottom product composition and another for the top product composition, are used together in the control scheme. Hierarchical genetic algorithms are used to derive the optimal number and shape of membership functions and fuzzy rules of a fuzzy supervisory system that adapts the parameters of the PI controllers. The real-time implementation results show the effectiveness of the proposed method.
In this paper, fuzzy supervisory PI controllers are developed and implemented on a pilot plant binary distillation column. Fuzzy c-means clustering technique is used in selecting membership functions and fuzzy rules a...
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In this paper, fuzzy supervisory PI controllers are developed and implemented on a pilot plant binary distillation column. Fuzzy c-means clustering technique is used in selecting membership functions and fuzzy rules are determined using fuzzy gain scheduling technique. Thus, the need of heuristic method for designing fuzzy membership functions and rules from expert knowledge is omitted. Then, the fuzzy supervisors adapt the parameters of the PI controllers on line. The task of the controllers is to perform dual composition control of the top and bottom products when the disturbances enter the column in the form of changes in feed flow rate. The results show that the fuzzy supervisory PI controllers achieve much better performance than the fixed PI controllers.
The paper is focused on the area of using multimedia in distributed systems (DS), its first part gives an introduction to the history of DS and multimedia. Its goal is to present basic terms and possibilities of imple...
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Today many vendors covering the processcontrol automation area offer a variety of products using a Linux operating system. These controllers, communication and visualisation resources meets customer requirements for ...
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This contribution describes improvement of soccer robot (class Mirosot) communication. 2.4 GHz band, half-duplex communication and more than 100 channels are some of several advantages of the system. Main advantage is...
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This contribution describes universal embedded system suitable for small motion robots. Most of the robots in this category are equipped at least 2 drive wheels with feedback for robot moving, RF link for the communic...
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This paper considers the stability of the fractional-order linear time-invariant systems with interval type uncertainties in both fractional orders and the relevant coefficients. It is an extension of our previous res...
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