Control Systems and Control Theory are contemporary subjects taught as part of the Circuit branches. Traditionally, teaching these subjects involves the use of mathematical modelling of control systems and simulation software to visualize time and frequency domain characteristics. However, as control systems continue to evolve conceptually technologically with the adoption of embedded systems, it is important that Controls Laboratories in colleges comprise of stands that enable experiential learning. NI Controls Lab Series enables researchers to perform further advanced research and students to perform their final year project work in measurement related applications in colleges.
Using the NI Controls Lab Series it is possible to design and validate both simple control systems like LTI and Complex, adaptive control systems. National Instruments offers tools to simulate and analyze dynamic systems as well as design, prototype and deploy modern control systems to low-cost hardware targets. From simulation to re-configurable I/O, National Instruments’ tools help you better teach and learn Control Design and Mechatronics .
The NI Controls Lab Series, Consisting of Control Design and Simulation tools, delivers a high-performance platform for hands-on learning and pioneering research. With these tools you can:
- General concepts and definitions: control systems components , classification of dynamically systems, open and closed loop control, relevant properties of Laplace and Z transforms.
- Transfer Functions: Continuous, discrete, block diagram, from continuous to discrete systems (discretization) techniques.
- Mathematical Modeling of Dynamical systems, state variable, digital simulation (solutions) of linear time invariant differential equations.
- Root-Locus, Frequency response, Polar, and Bode Plot of both continuous and discrete systems.
- Performance specifications of SISO continuous and discrete dynamical systems.
- Controller Design in both continuous and discrete domains using: Root-locus, Frequency response, PID, Pole Placement with state feedback.
- Implementation issues: Sampling, software and hardware technologies available for micro-processor based control, PID tuning rules, etc.
- Specify, design, prototype and test modern control systems.
- Architect, partition and select appropriate technologies for implementation of specified control systems.
- Design essential elements of modern adaptive control systems.
Benefits of the NI Experiential Approach
- Generate graphical plant models using system identification.
- Generate open loop characteristics of any plant model from the system ID
- Design control systems for modeled plants
- Add feedback elements into open loop control system
- Add non-linearities to plant and controller, and study stability parameters
- Prototype plant and study open loop characteristics
- Prototype Controller and perform HIL test
- Perform system identification by chacterizing input/output plant map.
- Study advanced concepts including Model Free Adaptive Control, PID, Fuzzy Logic, Genetic Algorithm and Evolutionary Control Systems
Fundamental Concepts & Problems Solvable Using NI Controls Laboratory
Mechatronics , Micromechanics, Motion Control, Automation of Technological Processes and Works , Automated Electric Drives and Industrial Electronics, Informatics and Control in Engineering Systems, Simulation Results of Linear and Non-linear Plant Models, Tuning of Controllers for Non-linear Operating Conditions, Closed Loop Analysis, Deployment of Controller and Demonstration of Controllability and Observability Parameters