Data-Driven PID Control for DC/DC Buck-Boost Converter-Inverter-DC Motor based on Safe Experimentation Dynamics

This research paper presents a data-driven PID control for a DC/DC Buck-Boost converter-inverter-DC motor system based on safe experimentation dynamics (SED). The data-driven is a control scheme refers to a controller that is designed using the information of input-output data obtained from an actual plant. Then, the data-driven scheme required an optimization as a tool for finding the optimal parameter controller design with the help of the running data. Hence, the SED is an optimization method provides high accuracy solution by keeping the best controller parameter values based on the input-output data measurement. Moreover, the SED method is a single agent-based optimization that provides an accurate and fast solution in order to find an optimal solution, especially in the high dimensional problem. Apart from that, a PID controller structure is chosen due to its simple structure, easy to implement, provides a robust performance, effective control performances and widely applied in industries. The performance of the SED based method is evaluated by an extensive numerical example based on tracking performance and computational time. The simulation results show that the propose data-driven PID control based on the SED is capable to track the trajectory task given and obtain a good control accuracy without requiring any theoretical assumptions about the plant dynamics.