A Multidisciplinary Control System Laboratory

这个工程学院的项目导致了从多学科的观点出发的控制系统教学的实践方法的配置。该项目满足了工业对获得具有广泛的技术技能和对控制的各种实际应用的理解的控制工程师的需求。此外，希望毕业生能够非常轻松地跨越相当人为的程序边界。提出了12个结合实践经验和软件模拟的多学科实验。前四个实验处理不同的一阶系统，并强调它们在数学上的等价性。接下来的两个实验向学生展示了使用直流电机和反馈过程控制的比例、积分和微分(PID)控制。性能分析和在控制中使用仪器是接下来的两个实验的基础。最后四个实验涉及发动机、直升机、球和横梁以及防抱死制动系统等真实系统。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价性推动的，这是我们正在调整的一个现有主题，我们正在将其纳入课程。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(Davis)、德克萨斯大学(奥斯汀)、纽约州立大学(Stony Brook)、斯坦福大学和罗格斯大学。我们还在寻求在我们的项目中实施基于计算机和微处理器的控制，就像巴克内尔大学、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.