<p>Passive-based control (PBC) is extensively used in grid-tied inverter (GTI) systems with higher-order filters due to its intuitive physical interpretation, strong robustness to parameter drift and excellent steady-state performance. However, the design of PBC controller parameters is cumbersome, requires extensive debugging, relies on manual experience and poses challenges to engineers. Therefore, a PBC control method based on metaheuristic algorithm, which is the jumping spider optimization algorithm (JSOA), and Kalman filter (KF) estimation is proposed for LTCL-filtered GTI in this paper, aiming at real-time online optimization of the control design process and reducing the burden on engineers. Firstly, the adopted LTCL-type high-order filter is simplified (called S-LTCL-type filter) in the control part, which simplifies its order and does not affect the selection of the PBC controller parameters. Secondly, online real-time optimization of the PBC controller parameters is carried out, and by comparing the traditional design method and multiple optimization algorithms, the JSOA technique is finally chosen. Thirdly, the system state variable information required for the PBC controller is estimated using the KF-estimator to save sensors. Finally, simulation (MATLAB/Simulink) and experimental validation (dSPACE DS1202 platform) are conducted to verify that the proposed PBC control method based on the JSOA technique and KF-estimation is effective in terms of parameter optimization accuracy and speed, as well as system control performance in the GTI system with LTCL filtering.</p>