This paper proposes a disturbance-aware quantum-inspired control (DAQIC) algorithm for speed control of a chopper-fed separately excited DC motor drive using a cascaded two-loop speed-current control structure. The suggested approach handles the limitations of typical PI control caused by load torque fluctuations, DC-link voltage variation, armature resistance variations, and measurement noise. In the outer speed loop controller, normalized speed error and error rate change data are mapped to probability-like conservative and aggressive control weight values. In the inner current loop controller, a feedforward duty-cycle term extracted from the motor armature voltage equation is merged with a bounded quantum-inspired correction control. A voltage-aware feasible reference limiter approach is also initiated to prevent the controller from generating unreachable speed commands during voltage sags and high-load conditions. The proposed controller is analysed through MATLAB-based simulations under nominal and disturbed operating conditions, and the results are compared with those of a conventional PI dual-loop controller. The results demonstrate that the proposed method enhances feasible-reference tracking, eliminates excessive current deviation, and improves robustness under constrained operating conditions. These findings show that the proposed DAQIC algorithm offers a practical and efficient control framework to control the speed for chopper-fed DC motor drive applications.