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or to both regulate energy consumption and implement other functions to meet design requirements. Advanced DSPbased MCUs use advanced algorithm control to improve system performance and reduce system cost. These additional functions range from power factor correction to Ether drivers and TCP/IP protocol stacks. Depending on the application requirements, the system plexity ranges from the minimal dc brush motor controller to highend vector drives. For the simplest control systems, all that may be needed is a microcontroller (MCU) that offers the requisite motor control peripherals (see Fig. 1). For example, a dc brush motor controller in an automotive power mirror application is served easily by a simple MCU. Fig. 1. A robust controller improves system integration. The main vehicle controller then integrates functions, such as settings for multiple drivers and so on, around the MCU module. Another example of such simple control systems is a stepper MCU IC that manages a stepper motor, and may operate under the supervision of another part of the system. Realworld applications A more sophisticated system, where greater performance is needed, can use a smarter algorithm in a programmable processor to improve system performance and reduce system cost. For example, a vector control algorithm enables an induction motor to perform the sharp and precise motion profiles needed in a washing machine. Positioning servomotors used in assembly lines face demanding requirements due to the dynamic specifications needed and system variability. Control for motors in these conditions can only be achieved through the instantaneous monitoring and adjustment of rotor speed and positioning, and an effective means of generating torque. Scalar motor control techniques are limited in the dynamic performance they offer. To work 6 around this problem, system designers often have to overspecify the motor to ensure that the controlled motor can handle all the torque transients (under t