Design of Fuzzy Logic Controller for Up to 25MW Hydropower Plant

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Author(s): Sumer Chand Prasad (Pranveer Singh Institute of Technology, India)
Copyright: 2020
Pages: 12
Source title: Applications of Artificial Intelligence in Electrical Engineering
Source Author(s)/Editor(s): Saifullah Khalid (Airports Authority of India, India)
DOI: 10.4018/978-1-7998-2718-4.ch005

Keywords: Artificial Intelligence / Electrical Engineering / Information Science Reference / Science & Engineering

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Abstract

In this chapter the emerging control techniques for 25 MW small hydropower (SHP) plants which utilize fuzzy logic are compared with conventional PID control for the speed control of hydraulic turbine in terms of rise time, smoothness of response, settling time, and overshoot in wicket gate opening with the response to change in turbine speed. In the case of the PID controller, gain adjustment (tuning) is required. The fuzzy controller algorithm is based on intuition, experience, and it incorporates a simple, rule-based IF X AND Y THEN Z approach. These controllers obtained don't require gain adjustment. The work done is a small step towards the automation of the hydropower plants.

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Design of Fuzzy Logic Controller for Up to 25MW Hydropower Plant

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