<p class="Abstract"><em>One technology to support production speed is electric motors with high performance, efficiency, dynamic speed and good speed responses. DC motors are one type of electric motor which is used in the industry. Sliding Mode Control (SMC) is the robust non-linear control. The basic theory regarding SMC is presented. The SMC design which is implemented is the speed control of the DC motor is analyzed. The controller is implemented in simulation using MATLAB / Simulink environment. The step response and signal tracking test unit are carried out. The results show that SMC has a better performance compare to PID which is faster settling time and no overshoot and undershoot. </em></p><p class="Abstract"> </p>

The electric motor is one of the technological developments which can support the production process. Not only in the manufacturing, but also in the transportation sector. The AC motor is divided into the synchronous and asynchronous motor. One type of asynchronous motor which widely used is the induction motor. In this study, the application of the IFOC control method and the LQG speed control method will be used to control the speed of an induction motor. The PID algorithm is also used as a comparison. Tests were carried out using MATLAB software. The speed variation and load variation are tested to validate the controller performance. PID is superior in terms of settling time and IAE. On the other hand, LQG is better in energy consumption. In terms of IAE, LQG has a higher value compared to PID by up to 56.67%. On the other hand, LQG is superior in terms of energy, which is 8.38% more efficient.

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The electric motor is an electromagnetic device that converts electrical energy into mechanical energy. There are many industrial sectors using electrical motors. Almost 90% of industries still use PID control because of its simplicity, applicability, and reliability. However, the weakness of PID is that it takes a long time to tune. PSO is one of the optimization methods which can be used to tune PID. The objective function is needed when using PSO to tune PID control. Five different objective functions which are ISE, IAE, ITSE, ITAE, and MSE is compared in terms of performance and control energy. The PID controller is applied in DC motor speed control in a simulation environment. Three testing condition is carried out which is step responses, set-point changes, and disturbance rejection. The simulation result shows that in terms of performance, ITSE is the best one. On the other hand, in terms of control energy, ISE is using the lowest energy to control the plant.

Induction motor (IM) is one of AC motor type which mainly applied for adjustable speed applications and consumes approximately 60% of the total industrial electricity consumption. IM is chosen due to its simple structure, reliability, high efficiency, and low cost. There are two main methods in speed and torque control of IM which are scalar control and vector control. Vector control is divided again as Field Oriented Control (FOC) and Direct Torque Control (DTC). In this research, DTC is chosen due to its simplicity compared with FOC. PID is reported that used by 90% industrial section because of its simplicity, applicability, and reliability. Fuzzy Logic Control (FLC) is one of the artificial intelligences that can be used to online tune the PID parameters. The simulation of speed control of the IM base on DTC has been carried out. The simulation result shows that in both no-load and loaded tests, Fuzzy-PID gives better results in speed tracking. In terms of control energy, Fuzzy-PID consumes more energy by 4.5% with better performance in the no-load test. Whereas for the loaded tests, it also has better performance with less energy by 1.03 % compared with PID.