AUTHORS: Rami A. Maher, Karim M. Aljebory
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ABSTRACT: This work presents a design and implementation of discrete variable gain controllers, which are used for regulating industrial systems. The design is derived from the classical discrete deadbeat response approach. The design is based simply on determining a variable gain for each discrete sample such to accomplish the regulation in finite steps equal the system order. The gain computation is performed numerically by solving a system of nonlinear coupled equations using one of the known evolutionary techniques, the genetic algorithm augmented with Newton-Raphson method. Two industrial control systems are considered to testify the designed controller for implementation. The efficacy of the proposed method for parameter variations is explored. Moreover, the results are compared with that based on a finite number of control steps.
KEYWORDS: Digital control, Discrete controllers, deadbeat responce, finite number of control steps, Genetic Algorithm
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