Stepping quantum genetic algorithm-based LQR control strategy for lateral vibration of high-speed elevator

被引：8

作者：

Li, Li ^{[1
]}

Qiu, Tian ^{[1
]}

Jia, Tichang ^{[1
]}

Chen, Chen ^{[1
]}

机构：

[1] Shandong Jianzhu Univ, Jinan, Shandong, Peoples R China

来源：

AT-AUTOMATISIERUNGSTECHNIK | 2022年 / 70卷 / 07期

关键词：

high-speed elevator; active damping; LQR controller; stepping quantum genetic algorithm;

D O I：

10.1515/auto-2021-0154

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

To effectively restrain the lateral vibration caused by the guide rail excitation and improve the ride comfort of the car system, a state-weighted linear quadratic regulator (LQR) control strategy is proposed. Firstly, based on the active control model of the 4-DOF car system with actuators distributed diagonally along the center of the car frame, an LQR controller for lateral vibration of high-speed elevator car systems is designed. Furthermore, in view of the tedious and time-consuming of the empirical method to choose state-weighted matrix Q, stepping quantum genetic algorithm (SQGA) is proposed to improve the performance of the controller. Finally, the time-frequency characteristic curves of the lateral vibration acceleration and the vibration displacement of the car system are compared and analyzed by MATLAB to verify the effectiveness of the proposed controller.

引用

页码：623 / 634

页数：12

共 22 条

[1] Quantum genetic algorithm based scheduler for batch of precedence constrained jobs on heterogeneous computing systems [J].