Open-loop controller

About: Open-loop controller is a research topic. Over the lifetime, 16148 publications have been published within this topic receiving 224014 citations. The topic is also known as: non-feedback controller & open-loop control law.

Model reference adaptive control of a direct-drive DC motor

Abstract: An adaptive time-optimal position controller for a direct-drive DC motor with a design based on the model reference adaptive approach is presented. The high-acceleration torque of DC motors with permanent magnets permits direct coupling of the load to the motor axis, avoiding the use of a transmission with its inherent disadvantages (such as backlash and friction). However, direct coupling induces a large sensitivity to load variations, so the desired response and the reference model in the adaptive controller are adjusted to the motor capabilities. This is achieved by estimating the load inertia by means of a least-squares method and adjusting the reference model accordingly. The controller is tested on a direct-drive motor, and the results are compared with those obtained with a fixed proportional-integral-derivative controller. >

Design for auto-tuning PID controller based on genetic algorithms

Abstract: This paper presents a method of designing proportional-integral-derivative (PID) controller based on genetic algorithms (GA). Ziegler-Nichols tuning formula has been used for predicting the range of gain coefficients of GA-PID controller. The use of GA for optimizing the gain coefficients of PID controller has considerably improved the performance of PID controller. Simulation studies on a second-order and a third-order control system demonstrate that the proposed controller provides high performance of dynamic and static characteristics.

Maximum Power Point Tracking in Grid Connected Wind Plant by Using Intelligent Controller and Switched Reluctance Generator

Abstract: This paper presents intelligent controllers as a maximum power point tracking system for a switched reluctance generator (SRG) driven by a variable speed wind turbine to attain the maximum power. The intelligent controller systems are artificial neural network (ANN) controller and fuzzy logic (FL) controller. Both controllers manipulate the wind turbine rotational speed by changing turn-off angle of the SRG. The turn on angle is fixed. The wind plant is connected to the grid through a DC–AC inverter system and two step up power transformers. The systems are simulated in MATLAB/ Simulink environment. The results show that the ANN controller is more accurate and efficient than the FL controller.

Microprocessor controlled motor controller with current limiting protection

Abstract: A solid motor controller for controlling the current in an electrical motor. The motor controller includes a processing unit, and a solid state switch operatively connected to the electrical motor. The motor controller senses the current through the motor, compares the current with a reference current level, and limits the current in the motor by rapidly switching the switch between an ON and an OFF state when the current exceeds the reference current level. The controller de-energizes the motor by placing the switch in the OFF state when the current exceeds the reference current for a predetermined period of time. The controller also includes a second solid state switch which is controlled to rapidly stop the rotation of the motor. The motor controller also activates a high current warning when the current exceeds a high current limit. Further, the motor controller senses the battery voltage, provides a low voltage warning indication when the battery voltage falls below a predetermined value, and shuts down the motor when the battery voltage falls below a second predetermined value. Finally, the controller measures the temperature near a selected component and shuts down the motor when the temperature exceeds a predetermined value.