针对起动机性能测试，设计一种智能PID控制器，它根据不同控制状态采取不同控制策略，将PID控制与Fuzzy推理控制相结合，在线自动整定PID参数，提高了控制系统的适应能力和鲁棒性，改善了系统的动态品质。此外，还介绍了测试系统组成、参数校对技术。实际运行结果表明，该系统检测精度高，快速性能好，可靠性高，能稳定运行于复杂环境的电机生产线上。

将基于知识的规则模型和解析的数学模型有机结合，建立两级结构的实时专家控制系统（ECS）。由具有专家自学习功能的实时专家系统（ES）以专家优化方式寻找电解液最优酸锌含量比和最优温度，由实时控制系统（RTCS）控制新液流量、总地槽液位和冷却风机状态，保证生产过程在最优生产条件下进行。本文介绍了系统结构、专家优化技术、实时控制技术和系统实现。

With the increasing complexity of industrial application, an embedded control system (ECS) requires processing a number of hard real-time tasks and needs fault-tolerance to assure high reliability. Considering the characteristics of real-time tasks in ECS, an integrated algorithm is proposed to schedule real-time tasks and to guarantee that all real-time tasks are completed before their deadlines even in the presence of faults. Based on the nonpreemptive critical-section protocol (NCSP), this paper analyzes the blocking time introduced by resource con icts of relevancy tasks in fault-tolerant multiprocessor systems. An extended schedulability condition is presented to check the assignment feasibility of a given task to a processor. A primary/backup approach and on-line replacement of failed processors are used to tolerate processor failures. The analysis reveals that the integrated algorithm bounds the blocking time, requires limited overhead on the number of processors, and still assures good processor utilization. This is also demonstrated by simulation results. Both analysis and simulation show the e ectiveness of the proposed algorithm in ECS.

This paper describes an optimization prolem to minimize the cost of power consumption for the electrochemical porocess of zinc (EPZ) depending onvarying prices of electrical power. Ae series of conditional experiments was conducted to obtain enough data, whic reflect the complex relationships among the factors influecing power consumption. Two backpropagation neural networks are used to build a process model that describes these relationships. An equivalent Hopfield neural network is cnstructed to solve this nonlinear optimization poroblem with tcchnological constraints, a penalty function is introduced into the network energy function to meet the equality constraints, and inequality constraints are removed by altering the sigmoid function. An optimal power-dispatching control system (OPDCS) has been developed to provide an optimal power-dispatching scheme and keep the ePZ running economically. Since the OPDCS was put into service in a smeltery, the cost of power consumption has decreased significantly, and cost of power consumption has decreased significantly, and it also contrbutes to halancing the power grid load.

焦炉配煤炼焦过程是存在诸多不确定性、无法用数学模型描述的复杂工业过程，传统控制方法难以实施控制。根据焦化理论和生产所获工业数据构造数学模型，以群体专家经验得到的定性知识构成规则模型，将解析的数学模型与基于知识的规则模型相结合，采用定性定量综合集成方法，建立焦炭质量预测模型，提出了配煤比计算的实用算法，并实时控制配煤流量。系统于1994年正式投入工厂运行，焦炭质量预测精度达到95%，配煤准确率达到97%。工业运行结果证明了方法的有效性。