CONTROL SYSTEM HELP

MATLAB Controls & Automation Assignment Help

Manufacturers of equipment used in manufacturing, testing, and power generation applications face complex challenges to develop embedded applications that integrate with mechanical, electrical, control, and signal processing systems. Forward-looking companies are turning to Model-Based Design to redefine the way they perform system-level design. Model-Based Design enables industrial equipment makers to create executable specifications in the form of Simulink models that provide clear design direction to diverse engineering groups. Sharing models shifts the focus of the development process from design and test on hardware to design and test with models, enabling early verification across domains before investing in prototypes. Machine makers then leverage code-generation technology to reduce rework, link code to design, and allow software engineers to focus on software architecture.

Control system engineering is a branch of Electrical Engineering which gives us a basic knowledge about controls and automation. That’s why it is widely used in the other engineering branches also such as Electrical Engineering, Electronics Engineering, Aeronautical engineering, etc. Control systems theory is a wide area covering a range of artificial and physical phenomena. Control systems are systems that are designed to operate under strict specifications, to satisfy certain aims, like safety regulations in the industry, optimal production of goods, disturbance rejection in vehicles, smooth movement and placement of objects in warehousing, regulation of drug administration in medical operations, level control in chemical processes and many more. The present work provides an introduction to the fundamental principles of control system’s analysis and design through the programming environment of MATLAB and Simulink. Analysis of transfer function models is carried out though multiple examples in MATLAB and Simulink, analyzing the dynamics of 1st and 2nd order systems, the role of the poles and zeros in the system’s dynamic response, the effects of delay and the possibility to approximate higher order systems by lower order ones. In addition, examples are given from the fields of mechanical systems, medically induced anesthesia, neuroprosthetics and water level control, showcasing the use of controllers that satisfy certain design specifications.

Applications of control system

• Automobile Steering Control System
• Automobile interior cabin temperature control system
• A chemical composition control system
• A light seeking control system
• An aircraft flight path control system using GPS
• A car control speed system
• NC machine position control system
• Robot welder
• An automobile cruise control system.
• A control system for a twin-lift helicopter system.
• A Human -Arm control system

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