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Instrumentation. Prof. Phillips March 14, 2003. Electrical Instrumentation. Electrical instrumentation is the process of acquiring data about one or more physical quantities of interest using electrical sensors and instruments.
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Instrumentation Prof. Phillips March 14, 2003 lecture16
Electrical Instrumentation Electrical instrumentation is the process of acquiring data about one or more physical quantities of interest using electrical sensors and instruments. This data may be used for diagnostics, analysis, design, or to control a system. lecture16
Instrumentation Examples • Every engineering discipline uses electrical instrumentation to collect and analyze data. • The following examples are illustrative of the different types of sensors and instrumentation that different engineering disciplines use. lecture16
Strain Measurements Strain gauge lecture16
Non-destructive Testing Ultrasound transducer lecture16
Automotive Sensors Accelerometer Oxygen Sensor Airflow Sensor Oil Pressure CO Sensor Water Temperature lecture16
Biomedical Ultrasound Transducer lecture16
A/D Converter Sensor Computer Amplifier Typical Instrumentation System • Sensor - converts the measured value into an electrically useful value (a transducer) • Amplifier - “conditions” the signal from the sensor • A/D Converter - changes the signal into a digital format • Computer - processes, displays, and records the signal lecture16
Sensor • The output of a sensor (transducer) is proportional to the quantity of interest. • The sensor output may be a • voltage or current (temperature, pressure) • resistance (strain gauge) • frequency (accelerometer) lecture16
Amplifier • The output of the amplifier is (usually) a voltage. • The gain of the amplifier is set so that the voltage falls between lower and upper limits (for example, -10V to 10V). lecture16
A/D Converter • Analog-to-digital (A/D) conversion consists of two operations: • Sampling: measuring the voltage signal at equally spaced points in time. • Quantization: approximating a voltage using 8, 12 or 16 bits. lecture16
Instrumentation Issues • Noise • Signal bandwidth • Sampling • Amplifier characteristics • Feedback • Real-time processing • Control systems lecture16
Noise Signal Signal + Noise lecture16
Sources of Noise • Thermal noise caused by the random motion of charged particles in the sensor and the amplifier. • Electromagnetic noise from electrical equipment (e.g., computers) or communication devices. • Shot noise from quantum mechanical events. lecture16
Effects of Noise • Reduces accuracy and repeatability of measurements. • Introduces distortion in sound signals. • Introduces errors in control systems. lecture16
What to Do? How can we eliminate or reduce the undesirable effects of noise? • Grounding/shielding electrical connections • Filtering (smoothing) • Averaging several measurements lecture16
Signal Bandwidth Conceptually, bandwidth (BW) is related to the rate at which a signal changes: Low BW High BW lecture16
Bandwidth and Sampling A higher bandwidth requires more samples/second: Low BW High BW lecture16
Bandwidth Limitations Every component in the instrumentation system has bandwidth limitations: • Sensors do not respond immediately to changes in the environment. • The amplifier output does not change immediately in response to changes in the input. • The A/D converter sampling rate is limited. lecture16
Effects of BW Limitations Sensor Output Amplifier Output lecture16
Amplifier Characteristics Amplifiers are characterized in terms of attributes such as: • Gain • Bandwidth and/or frequency response • Linearity • Harmonic distortion • Input and output impedance lecture16
Op Amps • One commonly used type of amplifier is the Operational Amplifier (Op Amp). • Op Amps have differential inputs: output voltage is the amplified difference of two input voltages. • Op Amps have very large gains (>103). lecture16
Op Amps (cont.) • Most op-amp circuits use negative feedback • Op-amp circuits can be designed to: • Provide voltage gain or attenuation. • Convert current to voltage. • Integrate or differentiate. • Filter out noise or interference. lecture16
Feedback Often, sensors measure quantities associated with systems. The sensor output is used to control the system in a desired manner. System (Plant, Process) Control Feedback Path lecture16
Example: Industrial Process Control • In many manufacturing processes (integrated circuits, for example) temperatures must be closely controlled. • Feedback can be used to maintain a constant temperature. lecture16
Temperature Control The Control System sets the current supplied to the heating elements in the furnace to keep the material temperature at the desired (setpoint) value. Furnace and Material Control System Temperature Sensor Desired Temperature lecture16
A car cruise control is a feedback system. How does it work? lecture16
Benefits of Feedback • Provides stability with respect to changes in system parameter values. • Helps to obtain a (nearly) linear response from non-linear components. • Can be used to change the characteristics of a system under control. lecture16
Class Example • Instrumentation Design Problem lecture16