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Performance Comparison of PID controller Tuning Method

Performance Comparison of PID controller Tuning Method

1. controller: PID or others (Ex. Nonlinear, LQG/LQR), If you have a good idea, we can decide after selection through chat.

2. Tuning method: Z-N (Ziegler-Nichols, PSO (Particle swarm optimization, Bacterial foraging, Fuzzy, Neural network) should be running on real time.

3. Plant model: state equation and block diagram will give after selection (system matrix: 12X12 or more, input-output: 3X3 multi input- multi out).

4. Working deadline:10 days

5. Simulink and Matlab code (or Python)

6. Test through team view (or Zoom, others)

7. we can discuss price.

This project is independent from post drone dynamic simulation and PID control.

Kemahiran: Matlab and Mathematica, Algoritma, Kejuruteraan, Python, Kejuruteraan Elektrik

Lihat lagi: atmega pid controller source code, atmel pid controller, coding pid controller atmel, pid controller atmel avr, pid controller avr pidinc, PID Controller, project pid controller motor avr, pid controller code avr motor, automatic tuning pid controller fuzzy logic, particle swarm optimization pid, pid particle swarm optimization matlab, tuning of pid controller, pid temperature controller tuning, pid controller tuning, tuning of pid controller using particle swarm optimization matlab code, particle swarm optimization pid controller matlab, fractional order pid controller design method, comparison between pso and ga for parameters optimization of pid controller, auto tuning of pid controller in matlab, comparison between genetic algorithms and particle swarm optimization

Tentang Majikan:
( 1 ulasan ) Sejong, Korea, Republic of

ID Projek: #31625225

23 pekerja bebas membida secara purata $577 untuk pekerjaan ini

saied2017

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6.7
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doggar302

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5.9
WinterGreenTech

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madta2020f

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anushka03367

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3.3
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