{'fraction_non_alphanumeric': 0.01741654571843251, 'fraction_numerical': 0.0, 'mean_word_length': 5.216216216216216, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
GPC Control on Exhaust Gas in Regenerative Furnace Based on Feedforward of Hearth Temperature and Air Flow

Exhaust temperature is an important indicator in regenerative furnace with characteristics of nonlinearity, time-varying and large inertia. Also, it is affected by the hearth temperature and flow rate of combustion air, which makes it hard to be well controlled by traditional methods, such as PID and etc. In this paper, a strategy of generalized predictive control (GPC) integrated with feedforward of hearth temperature and air flow is presented to optimize the exhaust temperature control. Practices show that the control index is more stable and errors are obviously narrowed.