In this paper, in the light of the problems of the traditional air suspension PID controller in the process of body height adjustment, such as the adjustment time is too long, the overshoot phenomenon is obvious, and the control parameters cannot be adjusted in real time, a PID transverse interconnected electronic control air suspension(TIECAS) system controller based on seeker optimization algorithm (SOA) is designed, the proportion factor of PID is optimized by crowd search algorithm and get the optimal solution of PID controller parameters. The control system model is built in $\mathrm{Matlab}/\mathrm{Simulink}$ simulation software. The simulation results show that the PID lateral interconnected air suspension controller based on SOA has faster response and avoids overshoot than the traditional PID controller. The control system was tested on a self-developed test vehicle with TIECAS structure. The test results show that the root mean square(RMS) values of the roll angle and pitch angle of the test vehicle are reduced from $0.024\mathrm{rad}$ and $0.018\mathrm{rad}$ before control to $0.019\mathrm{rad}$ and $0.012\mathrm{rad}$, respectively, by $27.0\mathrm{\%}$ and $35.8\mathrm{\%}$. The RMS values of the vertical acceleration of the center of mass after control are reduced by $27.6\mathrm{\%}$ and $42.4\mathrm{\%}$ compared with that without control, effectively improve the ride comfort and operation stability of the vehicle, The research results provide a new idea for the control of the vehicle transverse interconnected electronic air suspension system.

针对传统的空气悬架PID控制器在车身高度调整过程中存在的问题，如调整时间过长，过冲现象明显，控制参数无法实时调整等问题。设计了一种基于导引优化算法（SOA）的PID横向互联电控空气悬架（TIECAS）系统控制器，采用人群搜索算法对PID比例因子进行了优化，得到了PID控制器参数的最优解。内置控制系统模型$\mathrm{Matlab的}/\mathrm{Simulink}$模拟软件。仿真结果表明，与传统的PID控制器相比，基于SOA的PID横向互联空气悬架控制器具有更快的响应速度和避免过冲。该控制系统在具有TIECAS结构的自行开发的测试车辆上进行了测试。测试结果表明，测试车辆的侧倾角和俯仰角的均方根（RMS）值从$0。024\mathrm{拉德}$ 和 $0。018\mathrm{拉德}$ 在控制之前 $0。019\mathrm{拉德}$ 和 $0。012\mathrm{拉德}$分别由 $27。0\mathrm{％}$ 和 $35。8\mathrm{％}$。控制后质心垂直加速度的RMS值减小$27。6\mathrm{％}$ 和 $42。4\mathrm{％}$ 与没有控制的情况相比，有效地提高了车辆的乘坐舒适性和运行稳定性，研究结果为车辆横向互联电子空气悬架系统的控制提供了新的思路。