Intelligent Model Building and GPC-PID Based Temperature Curve Control Strategy for Metallurgical Industry

<table class="table-group" id="tab2"><tr><td><table class="table"><tr><td class="thead-hr" colspan="6"><hr/></td></tr><tr><td class="align_left">Number of data </td><td class="align_center">50</td><td class="align_center">200</td><td class="align_center">500</td><td class="align_center">1000</td><td class="align_center">2000</td></tr><tr><td class="align_center" colspan="6"><hr/></td></tr><tr><td class="align_left">Mean square error (°C)</td><td class="align_center">53.3</td><td class="align_center">32.4</td><td class="align_center">15.2</td><td class="align_center">7.82</td><td class="align_center">6.17</td></tr><tr><td class="align_center" colspan="6"><hr/></td></tr><tr><td class="align_left">Identification time (ms)</td><td class="align_center">130</td><td class="align_center">233</td><td class="align_center">521</td><td class="align_center">732</td><td class="align_center">1340</td></tr><tr class="table-tr"><td colspan="6"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Digital characteristics of the TS fuzzy model.

Mathematical Problems in Engineering

tab2

Table 2

Table 2: Intelligent Model Building and GPC-PID Based Temperature Curve Control Strategy for Metallurgical Industry 