Development of a Smart Fuzzy-PID Active Control System Without the Need for Direct Muscle or Brain Command Signals

In an innovative approach to active prosthetic management, this paper introduces a method for intelligent control that circumvents the necessity of expensive sensory systems directly linked to user brain activity, such as muscle signals. The prosthesis autonomously deter-mines the appropriate timing and nature of its move-ments, showcasing a unique control technique. The study also involves the development and evaluation of an advanced control system, alongside the establishment of a test platform for an Active Prosthetic Knee (APK). The scope of this research spans mechanical design, sensor integration, and motor control tailored to the APK. A noteworthy outcome of this study is the ability to fabri-cate a durable and cost-effective active prosthetic suitable for individuals with above-the-knee amputations. The resulting prosthetic demonstrates an enhanced capability to mimic the movement of a healthy limb with greater precision, all the while minimizing the physical strain on the patient’s muscles. In terms of movement decision-making, the APK relies on analyzing the motion of the unaffected leg, thus eliminating the requirement for high-priced sensory systems traditionally connected to human brain signals. The intelligent control system has shown a significant improvement in movement precision compared to conventional models, and a reduction in the strain experienced by the user, marking significant strides in active prosthetic technology.