Optimization based fractional order filter design

In recent years, interest in fractional order systems has increased. The most important reasons for this are that it has features such as wide design space, realistic results, and adaptability to every system. With the development of computer technologies, studies in this field have accelerated. Unlike integer order systems, fractional order systems also depend on derivative past values, creating a long memory effect in the system. For this reason, they are designed with integer equivalent models. Heuristic algorithm methods offer the most optimal solution to a problem. It is applied to almost every problem. It was used to find the most appropriate parameters in fractional order filter design. In this study; information about is given about the optimization method used in fractional order filter design. Fractional filter design equations were derived, optimization was made according to these equations, and the results and analysis were carried out.