qft control design toolbox  (MathWorks Inc)

Journal: Journal of Pipeline Science and Engineering

Article Title: Enhanced Speed Control of Pipeline Pigs with Adjustable Bypass Using Quantitative Feedback Theory and Cascade PID Algorithm

doi: 10.1016/j.jpse.2024.100231

Figure Lengend Snippet: Figure 6. QFT control loop diagram

Article Snippet: In the entire system, the upper and lower bound functions are shown as follows, and they meet this requirement. δlow(jω) = 4.938s+19.75 s2+4s+19.75 (43) δup(jω) = 105 s3+15s2+71s+105 (44) To achieve speed control of the pig, the transfer function of the controlled object P mentioned above is input into MATLAB's QFT Toolbox.

Techniques: Control

Journal: Journal of Pipeline Science and Engineering

Article Title: Enhanced Speed Control of Pipeline Pigs with Adjustable Bypass Using Quantitative Feedback Theory and Cascade PID Algorithm

doi: 10.1016/j.jpse.2024.100231

Figure Lengend Snippet: Figure 9. QFT & Cascade PID control loop diagram

Article Snippet: In the entire system, the upper and lower bound functions are shown as follows, and they meet this requirement. δlow(jω) = 4.938s+19.75 s2+4s+19.75 (43) δup(jω) = 105 s3+15s2+71s+105 (44) To achieve speed control of the pig, the transfer function of the controlled object P mentioned above is input into MATLAB's QFT Toolbox.

Techniques: Control

Journal: Journal of Pipeline Science and Engineering

Article Title: Enhanced Speed Control of Pipeline Pigs with Adjustable Bypass Using Quantitative Feedback Theory and Cascade PID Algorithm

doi: 10.1016/j.jpse.2024.100231

Figure Lengend Snippet: Figure 10. QFT Design Process

Article Snippet: In the entire system, the upper and lower bound functions are shown as follows, and they meet this requirement. δlow(jω) = 4.938s+19.75 s2+4s+19.75 (43) δup(jω) = 105 s3+15s2+71s+105 (44) To achieve speed control of the pig, the transfer function of the controlled object P mentioned above is input into MATLAB's QFT Toolbox.

Techniques:

Journal: Journal of Pipeline Science and Engineering

Article Title: Enhanced Speed Control of Pipeline Pigs with Adjustable Bypass Using Quantitative Feedback Theory and Cascade PID Algorithm

doi: 10.1016/j.jpse.2024.100231

Figure Lengend Snippet: Figure 15. Case1 the comparison of PID, QFT and QFT & Cascade PID in Step

Article Snippet: In the entire system, the upper and lower bound functions are shown as follows, and they meet this requirement. δlow(jω) = 4.938s+19.75 s2+4s+19.75 (43) δup(jω) = 105 s3+15s2+71s+105 (44) To achieve speed control of the pig, the transfer function of the controlled object P mentioned above is input into MATLAB's QFT Toolbox.

Techniques: Comparison

Journal: Journal of Pipeline Science and Engineering

Article Title: Enhanced Speed Control of Pipeline Pigs with Adjustable Bypass Using Quantitative Feedback Theory and Cascade PID Algorithm

doi: 10.1016/j.jpse.2024.100231

Figure Lengend Snippet: Figure 24. Case2 the comparison of PID, QFT and QFT & Cascade PID in Step

Article Snippet: In the entire system, the upper and lower bound functions are shown as follows, and they meet this requirement. δlow(jω) = 4.938s+19.75 s2+4s+19.75 (43) δup(jω) = 105 s3+15s2+71s+105 (44) To achieve speed control of the pig, the transfer function of the controlled object P mentioned above is input into MATLAB's QFT Toolbox.

Techniques: Comparison

Journal: Journal of Pipeline Science and Engineering

Article Title: Enhanced Speed Control of Pipeline Pigs with Adjustable Bypass Using Quantitative Feedback Theory and Cascade PID Algorithm

doi: 10.1016/j.jpse.2024.100231

Figure Lengend Snippet: Figure 27. Case2 QFT in Step response

Article Snippet: In the entire system, the upper and lower bound functions are shown as follows, and they meet this requirement. δlow(jω) = 4.938s+19.75 s2+4s+19.75 (43) δup(jω) = 105 s3+15s2+71s+105 (44) To achieve speed control of the pig, the transfer function of the controlled object P mentioned above is input into MATLAB's QFT Toolbox.

Techniques:

Journal: IEEE Access

Article Title: Robust Implementation of Distribution Static Compensator Along With Bridge Type Fault Current Limiter for Fault Ride Through Enhancement of Fixed Speed Wind Turbines

doi: 10.1109/access.2017.2696884

Figure Lengend Snippet: Fig. 4. (a) Control block diagram of the system in QFT design and (b) QFT flowchart

Article Snippet: Setting value 1– by trial and error– for pre-filter assures this condition, Fig. 6(b), which is obtained through QFT toolbox of MATLAB software.

Techniques: Control, Blocking Assay