Comparison of dynamic response and stability of PID, PI-D, PD2DOF and PD fuzzy controllers on a mechanical system
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Automation gains ground in the industrial sector day by day as a result of the new and more efficient control algorithms, in this context, the classical theory of control is a branch of knowledge established in the scientific community, but the most widely used in the industrial field, especially due to the ease of implementing a classic controller in industrial processes, even in those where the mathematical models of the systems are unknown, for example several heuristic methods for tuning PID controllers working as regulators is a widely known activity; the next step is the modern control, which is also quite developed but still has certain areas to study such as the development of optimal predictors or dealing with systems with communication delay. Finally, intelligent control is the branch of study that generates the most interest nowadays. It tries to combine artificial intelligence techniques with automatic control. One of the most popular intelligent control methods is fuzzy control or fuzzy logic control, in this work, different classical, modern and intelligent control techniques will be implemented to a line follower robot to evaluate the performance, stability and response of each one, as well as its implementation costs.
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