Summary
When the system to be ordered is complex and/or non-linear, fuzzy regulators, which are on the way to be standardised in industry, bring an original solution compared to the conventional PID regulators [5]. In this paper, we present benchmark test between three types of speed controller in Indirect Field Oriented Control (IFOC) of asynchronous machine: classical PLIP and new Fuzzy-PI structure [13]. IFOC has permitted fast transient response by decoupled torque and flux control separately. However, IFOC detuning is caused by parameters variations. In particular it is highly sensitive to uncertainties in the rotor resistance of the AC motor. This sensitivity can be reduced by using fuzzy controller. New optimal Fuzzy-PI proposed structure is based on optimal Ziegler-Nichols and Broida classical approaches [4]. For optimising this fuzzy controller we used Sequential Quadratic Programming (SQP) optimisation method [8]. We show in computer simulation the principal results from these different regulators. We point out the interest of proposed fuzzy controllers: the fuzzy command permits good improvement of the performance. Moreover we show also that the fuzzy controller is more robust against large parameters variations (±20%) of the process.
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© 2003 Springer-Verlag London
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de Barros, JC. (2003). Benchmark Between Three Controllers in IFOC: PI, IP and New Fuzzy-PI Regulator. In: Benítez, J.M., Cordón, O., Hoffmann, F., Roy, R. (eds) Advances in Soft Computing. Springer, London. https://doi.org/10.1007/978-1-4471-3744-3_8
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DOI: https://doi.org/10.1007/978-1-4471-3744-3_8
Publisher Name: Springer, London
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