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.

本文针对焦炉集气管压力系统具有强耦合、强干扰、典型非线性的特点，提出一种混合智能控制方法，将经典PID控制、前馈控制、专家控制相结合，把三种方法的简便性、可靠性、抗扰动快速性、灵活性融为一体，发挥各自的长处。并介绍了控制器的设计方法、系统实现与工业运行结。实际运行结果证明了该方法的有效性。

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。

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.

本文从有效利用资源的角度出发，提出了一种以最小化处理机数目为优化目标的Best-Fit启发式容错调度算法。该算法采用主/副版本备份技术和副版本的主动运行方式与被运行方式相结合的方法，将实时任务的主版本和副版本调度到不同处理机上运行；并且按照Best-Fit启发式策略为实时任务主版本寻找“最佳满足”处理机，使尽可能多的实时任务副版本以被动方式运行。算法既保证了系统的实时性和容错性，也节约了处理机。分析和仿真结果均证明了算法的有效性。