CAJ | 학술논문

文章首先建立车辆4自由度主动悬架系统模型，然后针对悬架系统的控制问题，基于结合遗传算法和最优控制理论，提出悬架系统的最优控制策略。该控制方法利用遗传算法对LQR控制器的加权矩阵 Q和R参数进行自适应调整优化，不仅可以避免传统的主动悬架LQR最优控制器设计中存在人为主观因素的问题，还能实现悬架系统的自适应最优控制。仿真实验结果表明，在不同车速和路面等级的行驶工况条件下，相比于传统的LQR控制方法，基于遗传算法优化的LQR控制能提高主动悬架系统的控制性能，使车辆获得更优的乘坐舒适性和操纵稳定性，研究结果为探寻有效的主动悬架控制策略、改善车辆的行驶性能提供了有用的控制方法参考。
문장수선건립차량4자유도주동현가계통모형，연후침대현가계통적공제문제，기우결합유전산법화최우공제이론，제출현가계통적최우공제책략。해공제방법이용유전산법대LQR공제기적가권구진 Q화R삼수진행자괄응조정우화，불부가이피면전통적주동현가LQR최우공제기설계중존재인위주관인소적문제，환능실현현가계통적자괄응최우공제。방진실험결과표명，재불동차속화로면등급적행사공황조건하，상비우전통적LQR공제방법，기우유전산법우화적LQR공제능제고주동현가계통적공제성능，사차량획득경우적승좌서괄성화조종은정성，연구결과위탐심유효적주동현가공제책략、개선차량적행사성능제공료유용적공제방법삼고。
In this paper ,a dynamical model of vehicle active suspension with four degrees of freedom is built ,and based on genetic algorithm and optimal control theory ,a linear‐quadratic regulator (LQR) control strategy for controlling active suspension is presented .In this scheme ,the genetic algorithm is used to realize the optimal search for the weighted matrix Q and the weighted parameter R of the LQR controller .This method not only overcomes the subjective factors in the design course of the tradition‐al LQR controller but also can realize the adaptive optimal control of suspension system .The simula‐tion results demonstrate that under the driving cycles with various grade roads and vehicle speed ,the presented LQR control method can obtain better control performance than the traditional one ,and can further improve ride comfort and handling stability of vehicle .The research results can provide useful theoretic reference for exploring the control methods of vehicle suspension system and improving the driving performance of the vehicle .