{'fraction_non_alphanumeric': 0.018944519621109608, 'fraction_numerical': 0.0, 'mean_word_length': 5.434782608695652, '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}}
Improvement of boiler combustion control performance using probability density function shaping and particle swarm optimization

A novel scheme for boiler combustion control system is proposed, where the firing rate demand is represented by furnace temperature distribution (FTD). In this scheme, the firing rate is defined to be FTD which characterizes the status of combustion directly. A real-time FTD shape control system is formulated and applied to boiler combustion control. FTD is fed back to combustion controller and adjusted by fuel valve actuators. Compared with the gradient approach, particle swarm optimization (PSO) is used to solve the control input, the simulation results verify the effectiveness of the proposed scheme.