Robust controllers obtained using H∞ control theory usually have much higher order than that of the plant and it is complex in nature as well. Moreover, in these design methods the order of controller cannot be fixed a priori to control law design. In industrial applications it is hard to execute these controllers practically. To overcome this problem, this paper proposes the use of evolutionary techniques (i.e. genetic algorithm and immune algorithm) for the designing of a low, fixed order robust controller. To check the effectiveness of the proposed approach, resulting controller parameters are evaluated for performance analysis via extensive simulations. Simulation results and performance comparisons demonstrate the efficiency of proposed approaches.