Design of Robust Pole Configuration Controller Based on Embedded Network Distributed Single Input System

Abstract

Abstract Robust control methods today are primarily solutions and the optimization process is presented as a set of optimization problems depends on the mathematical properties of the objective function. The proposed method, solving a polynomial equation based on the fixed characteristic polynomial is selected, including introducing a parameter solution having a known parameter structure of the controller.The embedded controller model should be modified to include an input / output interface with an external device. The method also includes a common reference function, which allows the possibility of different unrelated may consist of a standard, multi-objective optimization strict standard, mixed sensitivity problem applications, and other closed-loop constraints. Optimized design of the controller, clustering K- means the algorithm is executed.The following control performance parameters at different time and frequency domain studies, and is uncertain process parameters deviations thereof. Controller tuning rules are used for the process using a test bench, and it also the computational complexity analysis and process algorithms dynamics and sampled non- dominant pole type different types of distribution of data point s stable solution that provides an implementation of the hypothesis test for robustness. In the best case, these control law with single-precision (32-bit) arithmetic is implemented in the embedded processor.