| With the continuous development of smart grids,traditional manual inspection methods can no longer meet the requirements for safe operation of modern substations.Substation inspection robots can perform active monitoring and maintenance of substation power equipments under uncontrolled conditions,which can not only avoid human error and ensure the safety of power facilities,but also detect abnormal phenomena such as faults of power equipment in a timely manner.However,due to the poor and complex nature of the substation environment,the inspection robot needs to have good robustness,anti-jamming capability and adaptability in harsh environments to ensure the stability of the robot during operation.Due to the complexity of the inspection robot production process,various potential defects may be introduced during processing.These potential defects not only reduce the stability of the robot,but also gradually expose the inspection robot after it has been put into use for a long time.come out.At present,in order to make these potential defects prematurely exposed,environmental simulation methods are commonly used to perform aging tests before inspection robots leave the factory.The constant-temperature aging room can simulate high temperature and other harsh environments.Environmental simulation of complex electronic devices such as structures or functions can expose the potential problems existing in inspection robots and reduce the failure rate of the inspection robots that have been put into use.At present,the traditional PID control is used to control the temperature of the patrol robot thermostatic aging room.Although the basic temperature control requirements can be met,problems such as low accuracy will be exposed when relatively accurate temperature control is faced.In order to achieve a more precise control of the temperature of the constant temperature aging room of the inspection robot of the substation,a temperature control system combining PID control and genetic algorithm is designed and researched in this paper.The main work of this article can be summarized as follows:1.First,the characteristics of different types of aging rooms are described.Then the body structure,temperature control system and power supply scheme of the aging room are analyzed.Finally,by testing the temperature variation curve of the aging room,a first-order mathematical model is attempted to approximate the aging room.Temperature change process;2.First introduced the basic principle of the traditional PID control algorithm and commonly used parameter tuning methods,and then elaborated the basic principle and operation process of the genetic algorithm,and introduced the genetic algorithm to adjustthe controller parameters based on the traditional PID control algorithm.Finally,the simulation experiment was carried out using MATLAB simulation software.3.Designed the function and control framework of the aging room system,including the selection of PLCs,microprocessors,temperature sensors and controllable devices,and the preparation of PLC ladder control programs and other related procedures;4.Using force control configuration software to design the upper computer interface,and set up an experimental platform for system implementation.The results show that the genetic algorithm is used to adjust the parameters of the PID controller,and the better parameters are obtained,so that the system has better control accuracy and stability. |