The gas temperature of the supersonic heat airflow simulated test system is mainly determined by the fuel and air flow rates which enter the system combustor. In order to realise a high-quality control of gas temperature, in addition to maintaining the optimum ratio of fuel and air flow rates, the dynamic characteristics of them in the combustion process are also required to be synchronised. Aiming at the coordinated control problem of fuel and air flow rates, the mathematical models of fuel and air supply subsystems are established, and the characteristics of the systems are analysed. According to the characteristics of the systems and the requirements of coordinated control, a fuzzy-PI cross-coupling coordinated control strategy based on neural sliding mode predictive control is proposed. On this basis, the proposed control algorithm is simulated and experimentally studied. The results show that the proposed control algorithm has good control performance. It cannot only realise the accurate control of fuel flow rate and air flow rate, but also realise the coordinated control of the two.

中文翻译：

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超音速热气流模拟试验系统燃料流量和空气流量的协调控制

超音速热气流模拟试验系统的气体温度主要由进入系统燃烧室的燃料和空气流量决定。为了实现对气体温度的高质量控制，除了保持燃料和空气流量的最佳比例外，还要求它们在燃烧过程中的动态特性是同步的。针对燃油和空气流量的协调控制问题，建立了燃油和空气供应子系统的数学模型，分析了系统的特点。根据系统的特点和协调控制的要求，提出了一种基于神经滑模预测控制的模糊-PI交叉耦合协调控制策略。在此基础上，对所提出的控制算法进行了仿真和实验研究。结果表明，所提出的控制算法具有良好的控制性能。既能实现燃油流量和空气流量的精确控制，又能实现两者的协调控制。