As an emerging evolutionary computation technique, bionic intelligent optimization has garnered increasing attention and research efforts from scholars. By emulating the functionalities and behaviors of biological systems in nature, humans have developed numerous methodologies, techniques, and tools that have found extensive applications in solving various practical engineering problems. Using explicit nonlinear model predictive control (ENMPC) technique, a lateral PID-ENMPC controller is designed in this paper. To address the optimization challenges in lateral-directional control systems, a cauchy mutation-based pigeon-inspired optimization (CMPIO) algorithm is employed for parameter tuning of the controller. Simulation results demonstrate that the optimized controller achieves significantly enhanced performance metrics, indicating substantial improvements in control effectiveness through the proposed optimization algorithm.