Automatic Control and Tuning of Controller using Fuzzy Based Robust Predictive Hill Optimizationalgorithm (RPHOA)
G. Sudh, R. Anita · Middle-East Journal of Scientific Research · 2016
2 Abstract: The Robust predictive Hill function is commonly used as a building block to model different dynamic patterns found in the response of control circuits within sub modules and cells. These circuits are characterized by fast response and robustness againstunmeasured disturbances. Therefore, sub function andmodules can survive even if they are subjected to strong changes in theirenvironment. However, as far as we know, the robust predictive Hill function has not been used before to design process control systems. In thiswork, the robust predictive Hill optimization algorithm is applied to control the level of a water tank. To eliminate the offset, we added integrative action.A local analysis was applied to define stability limits for the control parameters. A cost function that includes the error and thecontrol effort was used to compare the performance of the Hill control algorithm against a standard PI, PID and fuzzy controller.