Design On Satisfactory Optimization Of Induction Motor Vector Speed Regulation System Based On Quantum Algorithms

With the continuous development of power electronics, micro-computer technology and automatic control technology, more and more scholars research and develop AC motor speed control system efficiently. To solve the parameters of promotional-integral regulators in speed loop,loop torque and flux loop in the speed regulating system. At first, this paper propose an Improved Bloch Quantum Algorithm(IBQA); then draw satisfaction optimization, a multi-objective optimization satisfactory function and multi-function performance; and the parameters of promotional-integral regulators in speed loop, loop torque and flux loop in the speed regulating system are optimized simultaneously.Finally, based on the Matlab simulation and the hardware platform of induction motor vector control system to verify the effectiveness of the work. The main work is as follows:The improved Bloch Quantum encoding algorithm, the solution space transformation,chromosome updates, and fitness function design suggestions for improvement Bloch Quantum Algorithms.Reference satisfactory optimization thought, considering induction motor vector control performance system, the establishment of overshoot, rise time, settling time, multi-target steady-state error and adjusting the output constraint satisfaction optimization function and design of the system contains speed multi-function output tracking error performance and adjusting the output constraints.In order to improve the performance of induction motor speed control system for induction motor vector control loop speed, torque and current loop PI regulator parameter Flux current loop while evolutionary optimization.On the Matlab simulation platform, at first, verify feasibility and superiority in optimization satisfactory of induction motor vector speed regulation system based on Improved Bloch Quantum Algorithm(IBQA), and finally governor on the platform of induction motor vector speed regulation system, the simulation results were tested. Simulation results show that the proposed optimization method can effectively improve the dynamic and static performance of vector control speed regulation system.