Synergistic control is applied to a piezoelectric positioning mechanism or piezoelectric actuator (PEA) to improve its stability and performance. This technique is based on the LuGre model. The model works by capturing most of the physical phenomena in the system and then identifying them using particle swarm optimization (PSO). The synergistic control method shows the nonlinear system’s stability in a closed loop, provides better tracking error, and minimizes oscillations compared to sliding mode control.
PEA is a type of actuator that converts electrical energy into mechanical motion. It is based on the piezoelectric effect, which is the ability of certain materials, such as crystals, to generate an electric charge in response to mechanical stress. PEAs are used to control the position of components by applying an electric field to piezoelectric materials in the context of piezoelectric positioning mechanisms. This force can be used to move the component to the desired position, making piezoelectric actuators useful for precise motion control applications. The advantages of using synergistic control in the micro-positioning stage include:
- Improved stability: Synergistic control helps maintain the stability of the nonlinear system in a closed loop. It ensures that the micro-positioning stage operates smoothly and accurately.
- Improved tracking error: Synergistic control minimizes tracking error, which is the difference between the desired position and the actual position of the micro-positioning stage. This results in better precision and accuracy in the positioning process.
- Reduces oscillation: Synergistic control helps minimize oscillation, which is unwanted vibration or fluctuation in the position of the micro-positioning stage. This results in smoother operation and better overall performance.
- Efficient control method: Synergistic control is an efficient control method that can be applied to the PEA to improve its performance at the micro-positioning stage.
Overall, synergistic control provides a more stable and accurate control method for the micro-positioning stage. This leads to improved performance and better results in various applications.
Synergetic control of micro positioning stage piezoelectric actuator
Amor Ounissi, Azeddine Kaddouri, Rachid Abdessemed
The work carried out in this article essentially relates to the application of a synergetic control to the piezoelectric positioning mechanism or piezoelectric actuator (PEA). A LuGre model has been followed, capturing the most physical phenomena, in order to be able to follow the most realistic and representative model possible. From this model, which is then identified by particle swarm optimization (PSO), we apply the synergetic control technique, which is a very efficient control method that allows demonstrating the good functioning of the stability of nonlinear system in closed loop. The simulation results have been compared to those obtained when using sliding mode to confer the best performance in terms of tracking error and minimization of oscillations.
By: I. Busthomi