In the previous paper, the methodology of the evaluation on the design of submersible was proposed based on the optimal control theory. Two sets of control system of longitudinal motion were introduced, which were composed of evaluation index of the optimal control, state equations and output equations. The relationship between the systems structures and 15 design parameters clarified. In this paper, the relation between the control performance of the longitudinal motion and the design parameters is derived and systematized. The relation is obtained from the numerical analysis of the longitudinal motion due to a series of step change of the sea current using optimal control law. The time constant which characterises late response behavior of the control systems is selected to be O. 1 of the mean interval for the sea current change. The following results are clarified by means of systematized relationship : (1) The performance of the control systems is sufficient for the mission of the underwater exploration if the submersible is designed within the proposed design range. Hence, the quality of the control system can be decided by the product of the evaluation index and the weighted factor. (2) The larger slenderness ratio of the body and geometric aspect ratio are, or the smaller tail fin width, time constant of propulsion apparatus and representative length are, the higher the control performance of surging motion is. (3) On the design point of standard model, the sensitivity of the control performance of surging motion to the design parameters is higher in the order, (1) representative length (mass), (2) slenderness ratio of the body, (3) time constant of propulsion apparatus, etc. Moreover, the similar results can be obtained in the case of the motion containing both heaving and pitching motion. It is concluded that the fundumental design of the control system to the longitudinal motion of the submersible, can be established by the usage of the systematized relationship between the control performance and design parameters.