Adaptive control of mechanical manipulators
Adaptive control of mechanical manipulators
Fuzzy PID controller: Design, performance evaluation, and stability analysis
Information Sciences: an International Journal - Special issue analytical theory of fuzzy control with applications
Theory and application of a novel fuzzy PID controller using a simplifier Takagi-Sugeno rule scheme
Information Sciences: an International Journal - Special issue analytical theory of fuzzy control with applications
Artificial Intelligence: A Guide to Intelligent Systems
Artificial Intelligence: A Guide to Intelligent Systems
Design and simulation of self-tuning PID-type fuzzy adaptive control for an expert HVAC system
Expert Systems with Applications: An International Journal
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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This paper presents a novel robotic hanger system for the garment inspection of knitting production. This 3-DOF hanger consists of three groups of linkages which can freely move in the 2D plane. In order to thoroughly understand the structure and motion of the robotic hanger so as to facilitate control simulations and experiments, the mathematical dynamic model of the hanger is analyzed and derived by using the Lagrangian energy approach. Since the dynamic model is complex, coupled and nonlinear, the fuzzy tuned PID (FT-PID) algorithm is employed to establish the controller. This FT-PID controller is found to be less susceptible to the sensor noise, the variation of garment material and size. Therefore, it possesses a certain degree of robustness and adaptability. The simulation and experimental results validate the dynamic model and the effectiveness of the FT-PID control method through comparisons with the conventional PID controller.