PID Parameters Optimization by Using Genetic Algorithm
This work addresses controller tuning for engineers dealing with time-delay systems, but it is incremental as it applies an existing optimization method to a known problem.
The authors tackled the problem of optimizing PID controller parameters for systems with time delays by implementing a Genetic Algorithm (GA) and compared its performance to Iterative Method and Ziegler-Nichols rule, showing that GA achieved better results in compensating delays in First Order Lag plus Time Delay systems.
Time delays are components that make time-lag in systems response. They arise in physical, chemical, biological and economic systems, as well as in the process of measurement and computation. In this work, we implement Genetic Algorithm (GA) in determining PID controller parameters to compensate the delay in First Order Lag plus Time Delay (FOLPD) and compare the results with Iterative Method and Ziegler-Nichols rule results.