The study focuses on a quarter electromagnetic active suspension system. Based on the normal distribution membership function of passenger mass, a T-S fuzzy suspension model considering suspension parameter perturbations is constructed. Additionally, a comprehensive performance evaluation index for the active suspension is developed, incorporating comfort probability and handling probability. An extended LQR control design is employed for the subsystem of the T-S fuzzy suspension model, and a genetic algorithm is used to optimize the key weight coefficients in the extended LQR controller. The simulation results indicate that during operation, the electromagnetic active suspension system experiences both energy consumption and vibration energy recovery. Overall, the energy consumption exceeds the recovery. The proposed active suspension controller can effectively balance handling and comfort based on the selection of weights, while also maintaining good robustness even when the sprung mass changes.