Comparison of Control Systems Based on PID Controllers and Based on Fuzzy Logic Using MatLab and Simulink

Abstract

AbstractThe persistent complication of various instruments, devices and assemblies leads towards the complexity of the algorithms for their automatic control. Many interrelationships existing inside automatic control systems (ACS), as well as external influences on these systems, are becoming increasingly difficult to describe with assistance of classical precise binary logic or differential equations. The matter is that a large number of real technical solutions are based on expert experience extremely problematic to formalize. The mathematical apparatus currently used for the synthesis and analysis of automatic control systems is based on differential equations. Full consideration of various inner connections and outdoor factors leads to the complication of these equations. Intelligent systems using would help to avoid these problems. There is no need to build the control process complex model in such kind of systems. An approach based on the use of a fuzzy logic controller in such systems considered in the article. A comparison of the control system with a fuzzy logic controller and a system using a traditional proportional-integral-differentiating (PID) controller is made. The systems were simulated using MatLab and Simulink.KeywordsMatLab systemAutomatic control systemsFuzzy logic controller