To enhance vehicle comfort and roll behavior across varying driving conditions, an adaptive LQR suspension attitude compensation control strategy based on driving condition recognition is proposed. This method employs a fuzzy driving condition recognizer to assess driving aggressiveness in real time, dynamically adjusting the LQR weighting matrix to achieve an adaptive trade-off between comfort and stability. Concurrently, a fuzzy feedforward compensator is introduced to provide a rapid response to steering inputs, thereby enhancing roll resistance. MATLAB/Simulink simulations show that under step steering conditions, the adaptive control system achieves better attitude control and reduces roll acceleration by 56.6%. Under the double-lane-change condition, the adaptive control strategy reduces roll acceleration by 54.0% compared with the passive suspension. The results indicate that the proposed adaptive attitude control strategy significantly improves vehicle stability while maintaining ride comfort.
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