Multi-Modal Battel Royale Optimizer Based Optimal Control of Industrial Robots

Many industrial robots are given through manufacturer with the controller which can’t changed through user. This kind of arrangement is generally determined to nearest control structure, that is not probable for processing the arbitrary control laws. To implement the novel algorithms, that is on contrary essential for assigning the open control structure, that allowed the program the control scheme. In this research, developed the Multi-Modal Battel Royale Optimizer (MM-BRO) algorithm for industrial robot optimization control. To find the appropriate neighbors the Coulomb’s law is used as the multi modal solution. That represents that solution with high beneficial location have higher chance of success. The MM-BRO algorithm enhances the performance of industrial robot optimization control. The developed MM-BRO algorithm reached 4.36 on $K_p^{\prime}$, 0.23 on $K_D^{\prime}$, 7.76 on K<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">p</inf>, 21.67 on K<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">I</inf> and 0.06 on K<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">D</inf> which is effective while compared to various optimization algorithms like Remora Optimization Algorithm (ROA) and Reptile Search Algorithm (RSA).