Zhoushu Jiang

Research on control method combined with load coordinate for dry desulfurization of slurry fluidized bed boiler

It is the most effective resource use practices for slurry and slime to be used as fuel for Fluidized bed boiler. The dry desulfurization of sludge Fluidized bed boiler is a large time delay system, and load disturbance of this system changes frequently. In order to achieve stable control of SO2 emission, and meet environmental requirements, a fuzzy control technology combined with the optimal feed-forward was designed. Combined with field experience, fuzzy controller was designed by fuzzy control technology, and then the integral process was added to achieve non-error track. Based on the objective to minimize disturbance impact, and in order to coordinate the desulfurization control and steam load control, a nonlinear programming problem for solving the optimal feed-forward parameters was established, from which the most excellent feed-forward form can be obtained. Results of 440T/H fluidized bed boiler show that the proposed method has satisfactory control effect. SO2concentration can fully meet environmental emissions requirements, and its fluctuation is relatively small.

Performance analysis of algorithms for large-scale nonlinear optimization

With the development of optimization heads toward large-scale problems, a series of optimization packages were developed for large-scale NLP optimization. The RSQP (reduced sequential quadratic programming) we concerned is one of best large scale NLP algorithm, and is especially efficient in process operation optimization. In this paper, the performance of our concerned algorithm RSQP, CONOPT2 and MINOS5 were tested by large-scale benchmarking COPS examples, the calculation was under the environment of GAMS. Computing results demonstrate that the performance of CONOPT2 was better than the others on robustness and efficiency. To problems with relatively small degrees of freedom, the performance of MINOS5 worked worst, though RSQP was not as robust as CONOPT2, its memory required reduced as half as CONOPT2. The results show that the RSQP we concerned has great advances for large scale optimization and further research for the algorithmpsilas stability is very necessary.

Optimal design of intake system mufflers in engine based on single and multi-objective optimization

Recently, more attention was put on the noise control of automotive. To reduce the noise of intake system of some kind of automotive, a model of automotive intake system was found based on transfer matrix method and black box experimental method. Then to fulfill the requirement of design and realize better anechoic effect, single objective optimization and multi-objective problem was formulated. To get the optimal performance and the optimal structure parameters, the problems were solved by genetic algorithm (GA) and NSGAII through Matlab platform, and optimal analysis was carried out to get the optimal parameters under different requirements and soft constraints. The results of our work have the guiding sense to the reality production.