Batch-to-batch control of batch processes based on multilayer recurrent fuzzy neural network

Abstract

The batch-to-batch model-based iterative optimal control strategy for batch processes is realized based on multilayer recurrent fuzzy neural network (MRFNN) and chaotic search. MRFNNs are used to model batch processes. Modeling and optimization problems are mainly solved by chaotic search. Due to model-plant mismatches and disturbances, the calculated optimal control profile may not be optimal when applied to the actual process. Current predictions are improved by prediction errors from previous batches, and the model errors are gradually reduced from batch-to-batch. Furthermore, the control strategy is developed for temperature tracking control. The effectiveness is verified on simulated batch reactors.

Online model regression for nonlinear time-varying manufacturing systems

“…Specifically in [7], a selective recursive Gaussian process modelling algorithm is proposed, which adaptively selects the data of a given size that are most efficient in reducing the estimation uncertainty so that the computation load is constrained when online streaming data are coming in. In most current works on batch-to-batch control, the conventional model regression methods are only used for obtaining an initial estimate of the system model using historical data during which the model variations are ignored [20,35,29]. The estimated model is then used as a benchmark to identify the model variation of each batch, where the models are usually assumed to be linear.…”

The Application of Multi-Objective Particle Swarm Optimization in Economic Dispatch of Power System

“…Power system economic dispatch is satisfy the requirements of safety, power quality and spare capacity premise, based on the constraints of the system active power balance, and considering the influence of network loss, at the lowest cost of power generation or fuel costs, achieve unit economic load distribution between power generation and ensure reliable power supply to users of a scheduling method. Realization of power system security, reliability, quality, economic operation which is of great importance to the development of the national economy [1].…”