The knee joint is one of the human body’s strongest and most important joints. The knee must be flexible in order for us to be able to walk and run, support our body weight, keep our balance, and act as our body’s vital shock absorber. But in some instances, ageing, sports-related injuries, and accidents may all contribute to knee joint movement issues. Therefore, in such circumstances, process control approaches can be used to restore the knee’s normal range of motion. In this work, the movement of the knee joint is examined using a transfer function model between the applied torque and the flexion angle. Using Taylor’s series approximation, the nonlinear knee joint movement model is made linear. For the specified task, Model Reference Adaptive Control (MRAC) is used. The Massachusetts Institute of Technology (MIT) rule and a modified version of it (modified MIT) has been employed to build the MRAC controller. The performance of the designed control is checked by simulations in the MATLAB environment and the respective results are shown for different cases. Performance analysis techniques like Integral of Absolute Error (IAE), Integral of Square Error (ISE), and Integral of Time weighted Absolute Error (ITAE) are used to assess the controller’s dependability. Knee joint movement is observed by adjusting the controller’s parameters and the proposed method’s set-point.