Robust PID Controller Tuning Using Multiobjective Optimization Based on Clonal Selection of Immune Algorithm

The three-mode proportional-integral-derivative (PID) Controller is widely used industrial process due to ease of use and robustness in the face of plant uncertainties. However, it is very difficult to achieve an optimal PID gain with no experience, since the parameters of the PID controller has to be manually tuned by trial and error. This paper focuses on robust tuning of the PID controller using clonal selection of immune algorithm which has function such as diversity, distributed computation, adaptation, self-monitoring function. After deciding disturbance rejection condition for the given process, the gains of PID controller using clonal selection of immune algorithm depending on disturbance rejection is tuned for the required response. To improve this suggested scheme, simulation results are compared with FNN based responses and genetic algorithm.

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