![]() The Fuzzy Logic Controller was used to obtain a desired control speed for the conceptualized intelligent PFDS model. This paper investigates the effect of two nature inspired algorithms, Genetic Algorithm (GA) and Particle Swarm Optimization (PSO), on PID controller for optimum tuning of a Fuzzy Logic Controller for Poultry Feed Dispensing Systems (PFDS). This tendency would reduce the challenges and complexity in bringing about the appropriate controllers to effect stability and efficient operations of industrial systems. The increasing trends in intelligent control systems design has provide means for engineers to evolve robust and flexible means of adapting them to diverse applications.
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