Basic Tutorial on MATLAB Applications in Automatic Control Principles

This article provides a comprehensive foundation tutorial on MATLAB applications in automatic control principles with detailed explanations of various software functionalities. We begin by introducing MATLAB's core concepts, including environment setup and configuration procedures, along with essential toolbox utilization techniques such as the Control System Toolbox and Simulink environment. Subsequently, we delve into MATLAB's specific applications in automatic control theory, covering system modeling using transfer functions (tf) and state-space representations (ss), frequency response analysis through bode plots, and time-domain simulations using step and impulse responses. Advanced applications include nonlinear control system analysis with linearization techniques, adaptive control implementations using MIT rule-based algorithms, and robust control design with H-infinity methods. Practical examples demonstrate PID controller tuning via pidtune function, root locus design using rlocus, and system identification through tfest commands. Finally, we present real-world implementation case studies to enhance understanding and application of MATLAB in control engineering projects.