Research on GPC control strategy of VAV system based on improved fuzzy logic

DOI:	10.11809/bqzbgcxb2023.07.040
Keywords:	generalized predictive control; type 2 fuzzy logic (T2FL); beetle swarm optimization (BSO); air conditioning system; static pressure control; temperature regulation
Abstract:	In order to improve control performance of the generalized predictive control (GPC) system of multiple input and multiple output variable air volume (VAV) air conditioners, this paper proposes a new GPC control strategy. In this method, a new type 2 fuzzy logic (T2FL) model is established to tune the weighting coefficients in the GPC controller online by considering the absolute error of the output and the time for the output to reach the set value obtained for the first time based on the error change rate. At the same time, the beetle swarm optimization (BSO) is used to clarify the output interval range of the T2FL so that it can more closely reflect the output state of the system at the current moment. Besides, based on the BSO method mentioned above, a linear and event triggered population size decay method is further proposed, which shortens the convergence period of the BSO and further improves the performance of GPC control strategy. The experimental results show that the performance of the GPC controller based on the T2FL tuning is significantly better than that of the existing GPC controllers.
Published:	2023-07-28
PDF HTML