The automation process is a very important pillar for Industry 4.0.One of the first steps is the control of motors to improve production efficiency and generate energy savings.In mass production industries,techniques ...The automation process is a very important pillar for Industry 4.0.One of the first steps is the control of motors to improve production efficiency and generate energy savings.In mass production industries,techniques such as digital signal processing(DSP)systems are implemented to control motors.These systems are efficient but very expensive for certain applications.From this arises the need for a controller capable of handling AC and DC motors that improves efficiency and maintains low energy consumption.This project presents the design of an adaptive control system for brushless AC induction and DC motors,which is functional to any type of plant in the industry.The design was possible by implementing Matlab software and tools such as digital signal processor(DSP)and Simulink.Through an extensive investigation of the state of the art,three models needed to represent the control system have been specified.The first model for the AC motor,the second for the DC motor and the third for the DSP control;this is done in this way so that the probability of failure is lower.Subsequently,these models have been programmed in Simulink,integrating the three main models into one.In this way,the design of a controller for use in AC induction motors,specifically squirrel cage and brushless DC motors,has been achieved.The final model represents a response time of 0.25 seconds,which is optimal for this type of application,where response times of 2e-3 to 3 seconds are expected.展开更多
为了提高电动机的控制性能，用高性能微处理器DSP（Digital Signal Processor）和IPM（Intelligent Power Module）对已有的模拟控制系统进行了改进。系统由DSP最小系统、智能功率驱动模块、隔离模块等组成，用DSP汇编语言编程。与现有...为了提高电动机的控制性能，用高性能微处理器DSP（Digital Signal Processor）和IPM（Intelligent Power Module）对已有的模拟控制系统进行了改进。系统由DSP最小系统、智能功率驱动模块、隔离模块等组成，用DSP汇编语言编程。与现有的模拟控制电路相比，其结构简单。实验结果表明，系统调速范围可达到10～1000r／min，有较宽的调速范围。展开更多
文摘The automation process is a very important pillar for Industry 4.0.One of the first steps is the control of motors to improve production efficiency and generate energy savings.In mass production industries,techniques such as digital signal processing(DSP)systems are implemented to control motors.These systems are efficient but very expensive for certain applications.From this arises the need for a controller capable of handling AC and DC motors that improves efficiency and maintains low energy consumption.This project presents the design of an adaptive control system for brushless AC induction and DC motors,which is functional to any type of plant in the industry.The design was possible by implementing Matlab software and tools such as digital signal processor(DSP)and Simulink.Through an extensive investigation of the state of the art,three models needed to represent the control system have been specified.The first model for the AC motor,the second for the DC motor and the third for the DSP control;this is done in this way so that the probability of failure is lower.Subsequently,these models have been programmed in Simulink,integrating the three main models into one.In this way,the design of a controller for use in AC induction motors,specifically squirrel cage and brushless DC motors,has been achieved.The final model represents a response time of 0.25 seconds,which is optimal for this type of application,where response times of 2e-3 to 3 seconds are expected.
文摘为了提高电动机的控制性能，用高性能微处理器DSP（Digital Signal Processor）和IPM（Intelligent Power Module）对已有的模拟控制系统进行了改进。系统由DSP最小系统、智能功率驱动模块、隔离模块等组成，用DSP汇编语言编程。与现有的模拟控制电路相比，其结构简单。实验结果表明，系统调速范围可达到10～1000r／min，有较宽的调速范围。
