ORIGINAL RESEARCH article
Front. Mech. Eng.
Sec. Vibration Systems
Horizontal Vibration Control of Elevator Car Based on Optimized NSGA-II Algorithm
Provisionally accepted
- Suzhou Polytechnic University, Suzhou, China
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Abstract: An intelligent control approach has been developed to address the problem of horizontal vibration control in high-speed elevators. This method integrates the improved nondominated sorting genetic algorithm II and the variable-domain fuzzy proportional-integral-derivative, with the objective of overcoming the limitations of conventional passive vibration damping technologies. These limitations include an inability to effectively address unevenness in guideways and dynamic load variation. The "sensing-prediction-control" closed-loop system is constructed by combining the 3-7-2 structure, the back-propagation neural network prediction model, the adaptive cross-variance operator, and the dynamic congestion threshold optimization nondominated sorting genetic algorithm II. Experimental validation showed that the proposed control method produced significant results under 6 m/s working conditions. The horizontal vibration acceleration (HVA) decreased by 57% to 18.7 mg, the displacement decreased by 60% to 0.070 mm, and the low-frequency energy attenuation rate increased by 12.5% to 30.3%. This was higher than the results obtained using the traditional explicit model predictive control method. The dynamic mapping parameters method demonstrated optimal robustness in extreme operating condition tests, and the load adaptability index was stable and close to 1. The proposed integrated control strategy achieved a multi-objective coordination degree of 0.92. Compared with the baseline controller, the energy consumption was reduced by approximately 25%. Meanwhile, the complexity of the control hardware was decreased to eight components, and the mean time between failures was extended to 1200 hours. These outcomes have led to significant improvements in the stability and reliability of the system. This research provides an innovative solution for high-speed elevator vibration control, which has significant engineering value in enhancing ride comfort and equipment reliability.
Keywords: Elevator car, Horizontal vibration control, multi-objective optimization, NSGA-II algorithm, Variable universe fuzzy PID
Received: 27 Nov 2025; Accepted: 15 Jan 2026.
Copyright: © 2026 Wang, Zhang and Gao. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Liqun Wang
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