DSP-Based Laboratory Implementation of Hybrid Fuzzy-PID Controller Using Genetic Optimization for High-Performance Motor Drives
作者： Ahmed Rubaai , Marcel J. Castro-Sitiriche , Abdul R. Ofoli
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摘要: This paper presents a real-time implementation of genetic-based hybrid fuzzy-proportional-integral-derivative (PID) controller for industrial motor drives. Both the design fuzzy-PID (FPID) and its integration with conventional PID in global control system to produce are demonstrated. A genetic optimization technique is used determine optimal values scaling factors output variables FPID controller. The objective utilize best attributes controllers provide which will better response than either or principle use controller, performs satisfactorily most cases, while keeping background ready take over when severe disturbances occur. formulated implemented real time, using speed brushless drive as testbed. design, analysis, stages carried out entirely dSPACE DS1104 digital-signal-processor-based data acquisition MATLAB/Simulink environment. Experimental results show that proposed controller-based produces performance controllers, particularly handling nonlinearities external disturbances.
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