Power Conversion and Control Equipment
Converting and regulating power are key technologies in automation and transportation. Applications include electric drives for motor control, voltage regulation, and power inverters. Advances in solid state power electronics enables engineers to develop equipment that modulates and converts higher power ranges than ever before. These devices are critical to lower energy usage, greater electrical efficiency, and improved power transmission.
Model-Based Design helps reduce the effort of designing these components by letting engineers model the power electronics and electrical control and signal processing algorithms. Desktop and real-time simulation allows testing at multiple operating conditions that are often too risky or expensive to perform on actual hardware. Automatic code generation reduces the effort of implementing the embedded code and helps ensure its computational efficiency
Model-Based Design for Embedded Control Systems
Develop and Implement Control Algorithms for Motor Control
Developing electric drives using techniques such as pulse width modulation (PWM) provides difficult challenges of verifying embedded controls under a variety of power and motor operating conditions. Using MATLAB and Simulink, engineers are able to reduce development time by rapidly iterating motor control algorithms using simulation. The control algorithms can be verified against realistic models of electrical loads to ensure they will function properly against all operating conditions. Control algorithms are directly implemented using automatic code generation, reducing the effort to create C code.
Develop Maximum Power Point Tracking (MPPT) Algorithms for Solar Inverters
The efficiency of solar power inverters depends on developing algorithms for maximum power point tracking (MPPT). MathWorks software reduces the cost and effort of designing and testing inverters by letting engineers simulate the solar panel DC source and electrical load on the inverter. Inverter designers can run simulations using multiple operating conditions to test for varying insolation, partial panel shading, and rapidly changing loads.