What Is the Significance of MATLAB for Electrical Engineers?

Introduction

Electrical engineering incorporates in-depth expertise in sub-domains like- integrated circuits, motor & control, digital signal processing, robotics, power electronics, electricity system automation, bioelectronics, factory management, etc. But how to become the best electrical engineer? 

A straight answer is that engineers must be proficient in imperative electrical disciplines such as mathematics, computer science, motor control, high voltage, and moderate electrical domains such as operation control and research and development. It is where the applications of MATLAB become vital.

 

What is MATLAB? 

MATLAB is a computing environment created exclusively for engineers and researchers to study and develop systems and technologies that will transform the future. The MATLAB language, a matrix-based language that allows for the most natural expression of computational mathematics, strikes at the core of MATLAB.

You can utilise MATLAB to simulate diverse electrical networks. But recent advancements in MATLAB have made it a very viable tool for Artificial Intelligence, Image processing, Robotics, Machine learning, Wireless communication, Data analytics, and other applications.

 

How Is MATLAB Useful for Electrical Engineers?

Here are some of the top applications of MATLAB in the electrical engineering domain-

 

1. Electrical Control Systems

Control system engineers utilise MATLAB throughout the development process, from facility modelling through designing, tuning control algorithms and supervisory logic, all the road to implementation with automatic code generation and system verification, validation, and testing. Various control mechanisms, including PD, PI, and PID, can be visualised. You can perform analysis in either the time domain or the frequency domain.

 

2. Signal Processing

MATLAB assists you in signal analysis by providing built-in tools for visualising and preprocessing data in the time, frequency, and time-frequency dimensions to identify trends and patterns without writing code. Domain-specific algorithms can characterise signals and signal processing systems in various applications such as communications, medical devices, radar, audio, and IoT.

 

3. Robotics and Autonomous Systems

Electrical and robotics engineers can use MATLAB for developing, modelling, and testing every facet of automated systems, from vision to motion. Utilising MATLAB, you can:

• Model robotic systems right down to the finer elements like sensor noise and motor vibration.
• Simulate accurate kinematics, dynamics, and contact characteristics for the robotic systems.
• Develop and refine high-level autonomy as well as low-level control.
• Compose and analyse sensor data using a library of updated algorithms.
• Gradually validate the robot design or algorithm from simulation through hardware-in-the-loop (HIL) testing.
• Deploy algorithms to robots via ROS or natively to microcontrollers, FPGAs, PLCs, and GPUs.

 

4. Electric Vehicle System Design

Power systems design and analysis are concerned with the system-level characteristics of hybrid electric, battery-electric, and plug-in hybrid mobility solutions. MATLAB's Model-Based Design empowers you to simulate the physical model and the linked control and management systems to do trade-off analyses on electric powertrain architecture and dimension critical components such as the battery pack and traction motor. To increase system efficiency while keeping all modules within efficient operating limits, you can optimise the configuration at the system level.

 

5. Energy Management Systems

You can use MATLAB to make energy management systems that integrate prediction/forecasting and optimisation approaches, as well as data access, data analytics, development, and deployment for:

• Modelling and simulation of electrical systems.
• Forecasting of electricity demand and generation.
• Optimisation of operations and planning.
• Analysis of trade-offs.
• Embedded system and cloud enterprise environments.

 

6. Advanced Driver-Assistance Systems (ADAS)

MATLAB helps engineers delve deeper into real-world behaviour, simplify vehicle testing, and evaluate the performance of embedded software when designing automated driving perception, planning, and control systems. You can use MATLAB and Simulink for:

• Driver data analysis, visualisation and labelling.
• Exploring virtual driving scenarios using the cuboid simulation environment.
• Designing and deploying algorithms for ADAS planning & control and perception.
• Testing and integrating your perception, planning, and control systems with Simulink tools.

 

 

Top Reasons Why Electrical Engineers Should Learn MATLAB

• Relatively concise and easier to grasp syntax in comparison to other languages. Also, many engineering problems that involve vectors, matrices, and tensors can be described concisely using its syntax.
• Several toolboxes are available to address nontrivial issues involving algorithms and engineering subjects.
• Its a widely-used tool both in academia and industry. Scientists and engineers can apply their knowledge of the software in various professional and research settings.

 

Career Prospects for Electrical Engineers After Gaining Experience on MATLAB

Thinking about how to get a job as an electrical engineer? You can place yourself in a strong position if you gain expertise in MATLAB. Some of the notable career tracks that open up for electrical engineers after attaining the knowledge of MATLAB through working on projects include-

• MATLAB Simulink Automation Engineer
• Motor Control Developer
• Systems Engineer
• Model-Based Development (MBD) Engineer
• Electrical Design Engineer
• Research & Development Engineer

 

Conclusion

Although MATLAB is predominantly used in the engineering arena by circuit branches to resolve a fundamental myriad of challenges, its use is extensive. It's a tool that allows you to compute, programme, and visualise the results graphically. Thus, adding this skill to your arsenal being an electrical engineer would unlock new opportunities.

Wondering how to learn MATLAB for electrical engineering? Skill-Lync offers several industry-oriented courses on Hybrid electric vehicle design, Model-Based Development, Power converter design and analysis, Battery technology, and much more.