Page - 142 - in Adaptive and Intelligent Temperature Control of Microwave Heating Systems with Multiple Sources

5. ExperimentalResults 1 2 3 4 5 6 7 8 9 1 0 1 1 1 2 1 3 1 4 1 5 1 60 .0 0 0 .0 5 0 .1 0 0 .1 5 0 .2 0 0 .2 5 0 .3 0 0 .3 5 I n d e x o f m e a s u r e d p o i n t s R e a l h e a t i n g r a t eL i n a r s u p e r p o s e d h e a t i n g Figure5.10. Comparison between real and linear superposed heating rates of 2sources (No. 1and2)at16differentpoints. lent to the linearsuperpositionof individual thermalpatterns. For the caseshowninfigure 5.12,a legitimateexplanationis that theEMfield createdbythesourcesNo. 3and7haveconstructivesuperpositionsin theupperleftcornerandthecorrespondingheatingpowerfollowsthe vector addition rule. From this point of view, although the nonlinear system model 3.46 can not be directly verified in the same way as the linear model, it is still reasonable to use the nonlinear model and the vectoradditionprinciple toexplain the thermalpatternsuperposition phenomena, especially for scenarios with a small number of different feedingsources. According to all experimental results, a brief conclusion can be made as that the general heating power (rates) superposition within HEP- HAISTOS can be regarded as a combination of both scalar and vec- tor additions. The practical heating scenario is a varying combination of both the equations 3.41 and 3.46. It tends towards 3.41 when the number of feeding sources is large, because of stronger cross in- fluences between multiple microwave generators, and towards 3.46 142