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Key Elements of Mechatronics
Physical systems modeling
Sensors and actuators
Signals and systems
Computer logic systems
Software and Data Acquisition
Physical Systems Modeling
Mechanics of Solids
Transitional and Rotational Systems
Fluid Systems
Electrical Systems
Thermal Systems
Micro and Nano systems
Rotational Electromagnetic Memory
Physical System Analogies
Sensors
Linear and Rational Sensors
Acceleration Sensors
Force, Torque and Pressure Sensors
Flow Sensors
Temperature Measurements
Ranging and Proximity Sensing
Light Detection, Image and Vision Systems
Fiber Optic Devices
Micro- and Nano Sensors
Signals and Systems
Mechatronics Modeling
Signals and Systems in Mechatronics
Response of Dynamic Systems
Root Locus Methods
Frequency Response Method
State Variable Methods
Stability, Controlability, and Observers
Observers and Kalman Filters
Design and Digital Filters
Optimal Control Design
Adaptive and Nonlinear Control Design
Neural Networks and Fuzzy System
Intelligent Control for Mechatronics
Identification and Design Optimization
Computer Logic Systems
Digital Logic
Communication Systems
Fault Detection
Logic System Design
Asynchronous and Synchronous Sequential
Computer Architectures and Microprocessors
System Interfaces
Programmable Logic Controllers
Embedded Control Computers
Data Acquisition Systems
Transducers and Measurement Systems
A/D and D/A Conversions
Amplifiers and Signal Conditioning
Computer-based Implementation System
Software Engineering
Data Recording
Historical Perspective
The term “automation” was not popularized until the 1940s when it was coined by the Ford Motor Company to denote a process in which a machine transferred a sub-assembly item from one station to another and then positioned the item precisely for additional assembly operations.
Actuators
Electro-Mechanical Actuators
Motors: DC, AC and Stepper
Piezoelectric Actuators
Pneumatic and Hydraulic Actuators
Micro- and Nano actuators
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