MULTIPOINT TEMPERATURE CONTROL USING MODEL PREDICTIVE CONTROLLER

Abstract

All spacecraft and equipment include thermal control systems that keep the temperature within the acceptable range for optimum operation. A spacecraft’s primary heat sources are its instru ments, heaters, or solar absorption, whereas radiation is the sole way for heat to escape from the vessel. Heat is transferred from the primary heat sources of a spaceship onto radiators and away from instruments using thermal control, which also employs heaters, thermal switches, and heat pipes.For simplicity, considering a sensor package system for temperature control.The temperature of system varies with gradient. Multipoint temperature measurement includes the measuring and monitoring temperature at different point of a system.For heating different points different heaters are placed at different locations in the sensor package. The sensor package includes heaters and sensors with the potential to self-heat. The heaters are powered, which heats the package. A box is used to protect the product from heat loss. The system’s temperature profile is tracked over time, and its characteristics, such as delay time, thermal gain, and time constant, are determined from the system’s reaction. These parameters are used to create a digital control system that includes an ADC, controllers, a PWM actuator (duty cycle based), a lowpass filter, and these parameters. A Model Predictive Controller algorithm is used to control multipoint temperature of sensor package.We are using a sensor package having two regions each having its own heaters and thermisters.Interactions are calculated by measuring the temperature of thermister.Using step response model a model predictive control law is applied.In predictive law single and multiple predictions are calculated and a comparison of both single point and multiple point is made