Fuzzy pid based Temperature Control of Electric Furnace for Glass Tempering Process
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Manual tuning For manual tuning in online system one of the methods is first setting all gains to zero. Increase the value until the constant oscillation of the output is obtained and then should be set to approximately half of that value for a quarter amplitude decay type response. After that increase to minimize the P term offset in a particular time for the process considering that too much can be a cause of instability. Finally, increase , if required, until the system becomes acceptably quick to reach the Set Point and decrease the oscillation. However, too much KD will lead to overshoot in the system. A quick PID controller loop normally has a little overshoots to achieve the desired value very fast; but in some systems cannot receive overshoot. In these systems a KP should be set remarkably less than half of the KP setting which provoked oscillation, to make over-damped in the closed-loop system [9] [15]. Parameter Rise Time Overshoot Settling Time Steady-State Error Stability Increasing Decrease Increase Small Increase Decrease Decrease Increasing Small Decrease Increase Increase Large Decrease Decrease Increasing Small Decrease Decrease Decrease Minor Change Improve Table 3. 1 Effects of independent P, I and D tuning on closed-loop response II. CONVENTIONAL PID TUNINGS TECHNIQUE There are different tuning correlations used in conventional PID tunings technique among those some of the methods are discussed below. Fuzzy PID Based Temperature Control of Electric Furnace for Glass Tempering Process M.Sc. Thesis, Addis Ababa University, December 2016 35 Download 1.99 Mb. Do'stlaringiz bilan baham: 
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