Tuning of PID Parameters by Integrated Taguchi Approach

Objectives: The effectiveness of Taguchi approach of tuning of PID controller by traditional hit and trail method is presented. Methods/Statistical Analysis: In multiple input parameter process, for obtaining the best output, one method is to conduct all possible experiments covering the entire range of parameters, a times, resulting in a huge number of experiments. To reduce the number of experimentation, a representative sample of experiments may be chosen and analyzed. Taguchi arrays helps selects the subset in such a way that ensures that all levels of all factors are represented equally. Findings: It has been shown that tuning of PID parameters by traditional hit and trial approach can be improved and made more effective by implementing the process with Taguchi approach. Using Taguchi's Method nearly best result can be obtained using lesser number of experimentations. Results thus obtained are authenticated by comparing them with those obtained by Exhaustive Search i.e. by conducting the entire set of experiments involving all possible combinations of the input parameters at different levels. Application/Improvements: Taguchi method helps achieve the target by conducting lesser number of experiments, thus saving on time, effort and cost, without compromising on the quality of result.