Active Vibration Control Technology for Elevator Cars Considering Controllability

Abstract

Several active suspension systems have been developed to improve the ride quality of high speed elevators. However, none of these systems consider suppressing multi modal vibrations when a car moves over the bumps of a guide rail. We propose a structural design of the car that considers controllability and maintains a high performance while reducing vibrations with minimum actuators. The stiffness of the roller guides is designed to minimize the difference of the two phases corresponding to translational and rotational modes: specifically, the lower guide should be twice as stiff as the upper one. Experimental results showed that the proposed system can suppress vibration much more effectively compared to the conventional method using the closed-loop transfer function. The results of time response analysis and experiments also showed that the proposed structure enables a much higher control performance than the conventional one.

A Vibration-Related Design Parameter Optimization Method for High-Speed Elevator Horizontal Vibration Reduction

“…Feng et al [17] designed the robust controller of horizontal vibrations using Lyapunov's method and considering the characteristics of nonlinearity, parameter uncertainties, and external disturbances of the elevator cage. Noguchi et al [18,19] developed several active suspension systems to reduce the horizontal vibrations of the elevator car.…”

Energy-Based Vibration Modeling and Solution of High-Speed Elevators Considering the Multi-Direction Coupling Property

“…A control device composed of two rotary electric motors was proposed in [21] to limit the irregular horizontal motion of the lift car on the guide rail, while not introducing any additional vertical vibration. An active suspension system was developed and verified in [22,23] which is composed of six actuators to suppress the horizontal vibrations. To suppress the lateral vibration, an active roller guide system was proposed in [24,25] with significant advantages of controlling performance and electric consumption.…”

Research on the multi-disciplinary design method for an integrated automotive steering and suspension system

“…Qazi et al 7 optimized the suspension system using the particle swarm optimization algorithm, and the performance of the optimized system was found to be much better than that of the passive system and other control schemes in terms of the road handling and the ride comfort. Noguchi et al 8 optimized the structure and control parameters of the suspension system using a genetic algorithm, which eventually provided a loop iteration process. Thoresson et al 9 optimized the suspension system based on a gradient-based approximation method, which effectively reduced the undesirable effects associated with noise in the gradient information.…”