Optimal design of an adaptive robust controller using a multi-objective artificial bee colony algorithm for an inverted pendulum system

In this study, a multi-objective artificial bee colony (MOABC) optimization algorithm was utilized to improve the performance of an adaptive robust control technique. This approach is implemented using inverted pendulum system. More precisely, proposed controller combination decoupled sliding-mode (DSMC) and adaptation laws based on gradient descent approach. To achieve optimum operation, MOABC, as novel meta-heuristic method simulated from smart foraging activity honeybee groups, employed optimize coefficients suggested controller. regard, objective functions are determined integral time absolute value pole angle cart position errors. Finally, responses system states effort presented prove effectiveness feasibility strategy compared with other contemporary studies referenced in paper.