Advanced Vehicle Control Systems (AVCS) is a key technology for Intelligent Transportation System (ITS) and Intelligent Vehicle Control System (IVCS). AVCS involves automatic steering, acceleration and braking control of fully autonomous vehicles. The unmanned control of the steering wheel is one of the most important challenges faced by the researchers. This paper proposes control architecture for automatic steering, acceleration and braking control of a self guided vehicle. Self guided vehicle is a line follower which tracks a black line on a white surface, through an array of infrared sensors. In line following, the readings that show deviation from the line are considered as lateral error and the proposed algorithm works towards minimizing the lateral error. Calculation of the lateral error and filtering the error values using Kalman filter is the first level of error calculation. Kalman filter protects the steering action from erroneous sensor values. PID control algorithm uses the filtered value and calculates the required steer to achieve the zero lateral error. The proposed adaptive speed control algorithm uses the speed boosting techniques for the longitudinal control of the vehicle. The experimental results show that the combination of Kalman filter with PID for lateral control reduces trajectory error to a minimum level and adaptive speed control algorithm for longitudinal control provides smooth accelerations over the entire track. Thus proposed algorithm gives better performance in both the lateral and longitudinal control.

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In olden day's machine (lathe or milling machine) movements were operated by manual for that trained persons were required, the workspace and the no of axes were limited one. Productions of complicated parts were difficult and batch production also impossible. The dimensions between the parts were varied so to produce batch production, testing was required. So, the cost of production was increased. Manual operated machines are now a day retrofitted by using electrical, electronics and computer software and programming technologies. The axes movements and spindle speed are driven by electrical motors. So, the no of axes can be increased which is depending upon the job's complication. Limit sensors are installed and interfaced. When a particular axis movements are exceeds its limit, the sensors will send the signals and the direction pulses are send which is used to stop the corresponding axes movement actuators. The direction and control pulses are sent from the computer to driver electronics. Actuator terminals are connected with driver electronics. Using CAD/CAM software, 3D modelling and other CNC programming parts are designed and then G-codes and M-codes are generated. The codes are executed line by line. The axes are moved with respect to the codes. Finally the one can obtain the designed parts. So, batch production will become very easy. In that particular production, dimensions between the parts are exactly similar to each other. No need to test every parts individually. Production time is less so no of products are increased.

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