A Multidisciplinary Control System Laboratory

这个工程学院的项目导致从多学科的角度来看，教学控制系统的动手方法的配置。该项目解决了工业对获得控制工程师的需求，这些工程师具有广泛的技术技能和对控制的各种实际应用的理解。此外，预计毕业生能够跨越相当人为的程序边界非常easy.Twelve多学科的实验，结合实践经验和软件模拟提出。前四个实验处理不同的一阶系统，并强调其数学等价性。接下来的两个实验让学生接触到使用直流电机和反馈过程控制的比例、积分和微分（PID）控制。性能分析和仪器控制的使用是接下来两个实验的基础。最后四个实验涉及真实的系统，如发动机，直升机，球和梁和防抱死制动系统。通过MATLAB和SIMULINK将软件与实验相结合。数字控制将是一些实验的一部分。控制理论的多学科性质是由系统等效性激发的，这是一个现有的主题，我们正在适应我们的课程。这一主题在编写经典教科书的各个大学都得到了很好的强调。例子包括加州大学（戴维斯）、得克萨斯大学（奥斯汀）、纽约州立大学（斯托尼布鲁克）、斯坦福大学和罗格斯大学。我们也在寻求在我们的项目中实现基于计算机和微处理器的控制，正如巴克内尔大学、普渡大学和瑞士联邦理工学院所做的那样。

This Faculty-of-Engineering project leads to the configuration of a hands-on method of teaching control systems from a multidisciplinary point-of-view. This project addresses the demand of industry for acquiring control engineers with a broad set of technical skills and a comprehension of the diverse practical applications of control. In addition, it is expected that the graduate is able to move across rather artificial program boundaries with great ease.Twelve multidisciplinary experiments that integrate hands-on experience and software simulation are proposed. The first four experiments deal with different first order systems and emphasize their mathematical equivalence. The next two experiments expose the students to Proportional, Integral and Derivative (PID) control using both a DC motor and feedback process control. Performance analyses and the use of instrumentation in control are the fundamentals of the next two experiments. The last four experiments deal with real systems like an engine, helicopter, ball and beam and an antilock brake system. Software is integrated with the experiments through MATLAB and SIMULINK. Digital control will be part of some of the experiments.The multidisciplinary nature of control theory is motivated by system equivalence, an existing theme that we are adapting into our curriculum. This theme is well emphasized at various universities from which classic textbooks have been written. Examples include the University of California (Davis), University of Texas (Austin), State University of New York (Stony Brook), Stanford University and Rutgers University. We are also seeking to implement computer and microprocessor based control in our project as is done at Bucknell University, Purdue University and the Swiss Federal Institute of Technology.