Optimal Tuning of Decentralized PI Controller of Nonlinear Multivariable Process Using Archival Based Multiobjective Particle Swarm Optimization

<table class="table-group" width="800px"><tr class="fig-image" id="a"><td><img alt="504706.fig.004a" src="https://static.hindawi.com/articles/mse/volume-2014/504706/figures/504706.fig.004a.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(a) </b>Outputs and limits</td></tr></table></td></tr><tr class="fig-image" id="b"><td><img alt="504706.fig.004b" src="https://static.hindawi.com/articles/mse/volume-2014/504706/figures/504706.fig.004b.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(b) </b>Inputs and limits</td></tr></table></td></tr></table>

<table>Response to sinusoidal disturbance at 0%, 50%, and 100% load.</table>

Modelling and Simulation in Engineering

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Figure 4

Figure 4: Optimal Tuning of Decentralized PI Controller of Nonlinear Multivariable Process Using Archival Based Multiobjective Particle Swarm Optimization 

Figure 4 | Optimal Tuning of Decentralized PI Controller of Nonlinear Multivariable Process Using Archival Based Multiobjective Particle Swarm Optimization 