GA-Based Nonlinear Pseudo-Derivative Feedback Control of a High-Speed, Supertall Building Elevator

The aim of this investigation was to design a genetic algorithm-optimised nonlinear pseudo-derivative feedback (NPDF) controller for the regulation of a high-speed, supertall building elevator. The efficacy of the NPDF controller was compared with that of a nonlinear proportional-integral-derivative controller, as well as the conventional equivalents of both architectures. Although all controllers successfully ensured that the elevator car arrived within the required time, the NPDF controller was found to be superior in terms of solution fitness, arrival time, rise time, settling time, disturbance rejection and sensitivity to variations in cabin occupancy. Additionally, the NPDF controller was the only control scheme to meet all performance specifications for each of the various cabin masses considered in this paper.