Fuzzy pid based Temperature Control of Electric Furnace for Glass Tempering Process
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4.1. Simulation of PID controller
The simulation result of the closed loop system step response of continuous and discrete time controllers is shown in Figure 4.1. For discrete time controller the process and sensor transfer function is changed to their equivalent discrete form for simulation study. As it is observed from the figure 4.1 the discrete controller achieves better transient response than the continuous equivalent. The discrete system transfer function model of a glass tempering furnace with PID controller is shown in Figure 3.3. This model was simulated in different PID tuning mechanisms using a MATLAB code presented in Appendix B. Fuzzy PID Based Temperature Control of Electric Furnace for Glass Tempering Process M.Sc. Thesis, Addis Ababa University, December 2016 55 The step response of the closed loop system with PID controller is shown in the Figure 4.2. Besides different tuning mechanism for PID controller like Ziegler-Nichols, Cohen-Coon, Integral of time-weighted absolute error (ITAE) both load point and set point changes and MATLAB/SIMULINK PID tuning is shown. As it is observed from the figure, with the MATLAB/SIMULINK PID tuning extension tool box tuned PID controller the step response of the system gets decreased in percent overshoot & settling time, increased in rise time and the steady-state temperature error is zero. According to the design specifications, the allowable steady-state temperature error is ±5%. Therefore, the designed controller has met the desired specifications. Figure 4. 1Step response of continuous and discrete closed loop PID control system Figure 4. 2 Step response of closed loop system with different PID tuning mechanisms. 0 50 100 150 200 250 300 350 400 450 -1 -0.5 0 0.5 1 1.5 2 Step response of continuous and discrete closed loop PID control system Time (seconds) Am plit ud e Continuous system ZN tuning Discrate system ZN tuning Discrete system tuned by MA TLA B/pid tuning tool box 0 50 100 150 200 250 300 350 400 -1 -0.5 0 0.5 1 1.5 2 Step response of dif f renet PID controller tuning mechanism system Time (seconds) Am pli tud e ZN tuning Cohen-coon tuning ITA E tuning load point ITA E tuning set point MA TLA B/SIMULINK PID tuning Fuzzy PID Based Temperature Control of Electric Furnace for Glass Tempering Process M.Sc. Thesis, Addis Ababa University, December 2016 56 Download 1.99 Mb. Do'stlaringiz bilan baham: |
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