This chapter introduces methods in achieving high integrity in the design of electric actuators, such as: output consolidation in multi-lane actuators; fault detection and fault isolation (FDI) system with embedded monitoring devices that conduct fault monitoring, voting, detection and isolation; two consolidation architectures and their associated FDI systems, namely, torque and velocity summing; a simulation graphical Monte Carlo (SGMC) method as a threshold setting technique; and lumped and three-phase lane models.

Chapter Contents:

• 5.1 Architecture consolidation
• 5.1.1 Velocity summing
• 5.1.2 Torque summing (torque-torque summing)
• 5.1.3 Combined summing
• 5.2 Fault detection and fault isolation (FDI) system
• 5.2.1 FDI system requirements in the multi-lane actuator
• 5.2.2 The monitoring voting averaging device (MVADs)
• 5.3 Architecture consolidation
• 5.3.1 Velocity summing architecture
• 5.3.2 Torque summing architecture
• 5.3.3 Initial simulation results
• 5.4 Mismatch between lanes
• 5.5 A simulation-graphical Monte Carlo thresholds setting method
• 5.5.1 Advantages over other methods
• 5.5.2 Description of the simulation graphical Monte Carlo (SGMC) method
• 5.5.3 Sample size and confidence

Inspec keywords: electric actuators; fault diagnosis

Other keywords: electric actuators; architecture consolidation; simulation graphical Monte Carlo method; fault monitoring; output consolidation; embedded threshold setting technique; velocity summing; fault detection and isolation system; associated three-phase lane models; consolidation lumped models; requirements embedded monitoring devices; multi-lane actuators; fault voting; torque summing

Subjects: Control gear and apparatus; Electric actuators and final control equipment