• No results found

 INTELLIGENT SELF TUNING PID CONTROLLER USING HYBRID IMPROVED PARTICLE SWARM OPTIMIZATION FOR ULTRASONIC MOTOR

N/A
N/A
Protected

Academic year: 2020

Share " INTELLIGENT SELF TUNING PID CONTROLLER USING HYBRID IMPROVED PARTICLE SWARM OPTIMIZATION FOR ULTRASONIC MOTOR"

Copied!
10
0
0

Loading.... (view fulltext now)

Full text

Loading

Figure

Figure 1.3: Expression Tree
Figure 1.3: Raspberry PI Model
Figure .3.1: System Model
Figure 3.1: Light Switch ON/OFF Mode
+4

References

Related documents

It is observed that the heat transfer coefficient is higher for Acetone compared to Propanol because of the fact that the temperature difference between evaporator and

Since women are one of most vulnerable groups in disasters and, as there is a need to recognise this human resource for their own development and for community’s benefit, this

‘Need keeps the book of dying open’: Negative Capability in Gil Ott’s The

Neural network structure consists of four layers (an input layer, two hidden layers, and output layer) using Feed-Forward, Back- propagation, the input is mapped onto

The above quotes suggest that even short term interventions can have a positive impact on clients’ ability to life plan. However, it is important to note that this in itself can