Three-phase asynchronous motors (are aslo called induction motors) are rugged, robust, and an integral part of many applications for most industries worldwide. The general type of the three-phase asynchronous motor, mostly used in industry, is the squirrel cage. The method introduced into this paper is called direct torque control (DTC), which utilizes the characteristic of a motor to produce a quick and robust response in inverters. The entire motor system is analyzed and simulated by Matlab and Simulink toolbox, where the PID direct torque controlled to approach is applied. Our main contributes to this paper is to compare the performance of induction motor, including three scenarios: without load, negative load and positive load by using PID direct torque control method. The simulation results show the effective of proposed control of induction motor with three scenarios.

Rotary Inverted Pendulum (RIP) plays a vital role in control engineering. Rotary Inverted Pendulum is a complex, nonlinear, non-minimum-phase and under-actuated system which has various applications in the field of Robotics. The main contribution of this paper is to design and control RIP by using Linear Quadratic Regulator (LQR) controller for stabilization at vertically upright position - the unstable equilibrium point, and Linear Quadratic Tracker (LQT) controller for tracking the desired trajectory. Besides, stability of the closed-loop system is analyzed for ensuring the reliability of the developed controller. The simulation is carried out in MATLAB/Simulink environment, and the proposed controllers have been tested on Rotary Inverted Pendulum hardware that is designed by authors. The analysis and results conducted on the system demonstrate the performance of the control schemes, including stabilization of unstable equilibrium point, tracking the desired trajectory, and system response showing the robustness and effectiveness of methods.

The objective of this paper presents an identification of single water tank system by Genetic Algorithm (GA), a comparison control quality of two controllers sliding mode control (SMC) and fuzzy sliding mode control (FSMC) and a design of real-time fault detection and diagnosis for the system. The entire system has been modeled and tested by Matlab/Simulink toolbox.