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Reverse Bias for NPN Now imagine that a second battery is connected between the base and the emitter in the circuit of Fig 22-3B, with the polarity such that EB becomes negative with respect to the emitter The addition of this new battery will cause the E-B junction to be reverse-biased No current flows through the E-B junction in this situation (as long as the new battery voltage is not so great that avalanche breakdown occurs) A signal might be injected at the base to cause a flow of current, but such a signal must attain, at least momentarily, a positive voltage high enough to overcome both the reverse bias and the forward breakover voltage of the junction Forward Bias for NPN Now suppose that EB is made positive with respect to the emitter, starting at small voltages and gradually increasing This is forward bias If the forward bias is less than the forward breakover voltage, no current will flow But as the base voltage EB reaches the breakover point, the E-B junction will start to conduct The base-collector (B-C) junction of a bipolar transistor is normally reverse-biased It will remain reverse-biased as long as EB is less than the supply voltage (in this case 12 V) In practical transistor circuits, it is common for EB to be set at a fraction of the supply voltage Despite the reverse bias of the B-C junction, a significant emitter-collector current, called collector current and denoted IC, will flow once the E-B junction conducts In a real transistor circuit such as the one shown in Fig 22-3B, the meter reading will jump when the forward breakover voltage of the E-B junction is reached Then even a small rise in EB, attended by a rise in IB, will cause a large increase in IC, as shown in Fig 22-4 If EB continues to rise, a point will eventually be reached where the IC versus EB curve levels off The transistor is then said to be saturated or in saturation It is wide open, conducting as much as it can.

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where P = [ + (tk ) ] The quaternion b+ (tk ) can be computed from + Rb (tk ) The variables b+ (tk ), xa (tk )+ , and xg (tk )+ serve as the initial n condition for the mechanization equations over the next period of integra xk tion Given that the initial condition x+ (tk ) has been corrected for + , the new best estimate for + is now the zero vector (see Section 51053) xk

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PNP Biasing For a PNP transistor, the situation is a mirror image of the case for an NPN device The diodes are reversed, the arrow points inward rather than outward in the transistor symbol, and all the polarities are reversed The dual-diode PNP model, along with the real-world transistor circuit, are shown in Fig 22-5 In the preceding discussion, replace every occurrence of the word positive with the word negative Qualitatively, the same things happen: small changes in EB cause small changes in IB, which in turn produce large fluctuations in IC

Given the linearized error model of Section 1053, by observability analysis it is straightforward to show that even over intervals containing both magnetometer and accelerometer measurements, the full error state is not

Because a small change in IB causes a large variation in IC when the bias is just right, a transistor can operate as a current amplifier If you look at Fig 22-6, you ll see that there are some bias values at which a transistor won t provide any current amplification If the transistor is in saturation, the IC

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observable unless the system is rotating The few interesting questions relate to levels of observability, performance analysis, and tradeo studies are: For a stationary system, what is the expected level of performance For a system moving with lateral velocity, how does the lack of knowledge concerning in a ect the system performance How does this limit the applicability of this AHRS approach How much performance would be lost by eliminating the accelerometer biases from the model How much performance could be gained by estimating scale factor errors These questions are left as exercises for the reader

This section contains application results from laboratory bench testing During the experiment, magnetometer measurements were not available Therefore, in this experiment, only pitch and roll estimates are of interest The IMU sampling rate is approximately 172 Hz The IMU is manipulated by hand through a sequence of maneuvers For the rst and last few seconds, the IMU is stationary in the same position with the same orientation The raw IMU data is shown in Figures 102 and 103 The non-smooth nature of the data should not be interpreted as noise The standard deviation of the gyro and accelerometer measurements are 40 10 3 rad m and 22 10 2 2 s s

transistor bias points The most amplification is obtained when the bias is near the middle of the straight-line portion of the curve