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The design of a Proportional-Integral (PID) controller for regulating the flight control system's angle of attack is the subject of this study. To determine the settings of the suggested PID controller, the Teaching-Learning Based Optimization (TLBO) technique is used in this field for the first time. To optimize the PID controller's parameters, TLBO is used to frame the design challenge as an optimization problem. By contrasting the outcomes with those of more traditional techniques like GA, PSO & ABC the superiority of the suggested strategy is made clear. In comparison to GA, PSO & ABC based PID controllers, it has been found that TLBO optimized PID controllers provide superior dynamic performance in terms of settling time, overshoot, and undershoot. TLBO soft computing techniques are used to increase a variety of performance indices, such as Mean Square Error (MSE), Integral Absolute Error (IAE), Integral Time absolute Error (ITAE), etc. In addition, the system's robustness is examined by adjusting every system parameter in steps of 25%, from -50% to +50%. Additionally, analysis shows that even with large variations in system parameters, TLBO-optimized PID controller improvements are very resilient and do not require resets. [ABSTRACT FROM AUTHOR]