Design of discrete-time control systems by multiobjective genetic algorithms

In this paper, the authors discuss an application of genetic algorithms (GAs) to discrete-time two-degree-of-freedom control systems design where various design specifications are required. The design method is based on a pole-zero placement considering pole-zero cancellations. The tunable parameters of the controllers are optimized by a new multiobjective GA (MGA). Combining the MGA with the design method, the authors construct a computer-aided control system design (CACSD) using MATLAB. The effectiveness of the proposed CACSD is demonstrated by a numerical design example. The MGA is compared with an established optimization algorithm in MATLAB OPTIMIZATION TOOLBOX.